Best-of Machine Learning with Python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 920 awesome open-source projects with a total of 4.8M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!

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Contents¶

Machine Learning Frameworks 63 projects
Data Visualization 55 projects
Text Data & NLP 103 projects
Image Data 64 projects
Graph Data 36 projects
Audio Data 29 projects
Geospatial Data 22 projects
Financial Data 25 projects
Time Series Data 29 projects
Medical Data 19 projects
Tabular Data 5 projects
Optical Character Recognition 12 projects
Data Containers & Structures 1 projects
Data Loading & Extraction 1 projects
Web Scraping & Crawling 1 projects
Data Pipelines & Streaming 2 projects
Distributed Machine Learning 36 projects
Hyperparameter Optimization & AutoML 52 projects
Reinforcement Learning 23 projects
Recommender Systems 17 projects
Privacy Machine Learning 7 projects
Workflow & Experiment Tracking 40 projects
Model Serialization & Deployment 20 projects
Model Interpretability 54 projects
Vector Similarity Search (ANN) 13 projects
Probabilistics & Statistics 24 projects
Adversarial Robustness 9 projects
GPU & Accelerator Utilities 20 projects
Tensorflow Utilities 16 projects
Jax Utilities 3 projects
Sklearn Utilities 19 projects
Pytorch Utilities 32 projects
Database Clients 1 projects
Others 66 projects

Explanation¶

🥇🥈🥉 Combined project-quality score
⭐️ Star count from GitHub
🐣 New project (less than 6 months old)
💤 Inactive project (6 months no activity)
💀 Dead project (12 months no activity)
📈📉 Project is trending up or down
➕ Project was recently added
❗️ Warning (e.g. missing/risky license)
👨‍💻 Contributors count from GitHub
🔀 Fork count from GitHub
📋 Issue count from GitHub
⏱️ Last update timestamp on package manager
📥 Download count from package manager
📦 Number of dependent projects
Tensorflow related project
Sklearn related project
PyTorch related project
MxNet related project
Apache Spark related project
Jupyter related project
PaddlePaddle related project
Pandas related project
Jax related project

Machine Learning Frameworks¶

General-purpose machine learning and deep learning frameworks.

Tensorflow (🥇55 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2

- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.8K · 🔀 75K · 📦 470K · 📋 47K - 15% open · ⏱️ 20.02.2025):

git clone https://github.com/tensorflow/tensorflow

- [PyPi](https://pypi.org/project/tensorflow) (📥 20M / month · 📦 8.4K · ⏱️ 26.01.2025):

pip install tensorflow

- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.3M · ⏱️ 10.02.2025):

conda install -c conda-forge tensorflow

- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 79M · ⭐ 2.7K · ⏱️ 20.02.2025):

docker pull tensorflow/tensorflow

PyTorch (🥇55 · ⭐ 87K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 5.4K · 🔀 23K · 📥 76K · 📦 650K · 📋 50K - 31% open · ⏱️ 20.02.2025):

git clone https://github.com/pytorch/pytorch

- [PyPi](https://pypi.org/project/torch) (📥 40M / month · 📦 22K · ⏱️ 29.01.2025):

pip install torch

- [Conda](https://anaconda.org/pytorch/pytorch) (📥 26M · ⏱️ 28.10.2024):

conda install -c pytorch pytorch

scikit-learn (🥇53 · ⭐ 61K) - scikit-learn: machine learning in Python. BSD-3

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.3K · 🔀 26K · 📥 1K · 📦 1.1M · 📋 12K - 17% open · ⏱️ 19.02.2025):

git clone https://github.com/scikit-learn/scikit-learn

- [PyPi](https://pypi.org/project/scikit-learn) (📥 77M / month · 📦 27K · ⏱️ 10.01.2025):

pip install scikit-learn

- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 34M · ⏱️ 10.01.2025):

conda install -c conda-forge scikit-learn

Keras (🥇48 · ⭐ 63K) - Deep Learning for humans. Apache-2

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📋 12K - 2% open · ⏱️ 20.02.2025):

git clone https://github.com/keras-team/keras

- [PyPi](https://pypi.org/project/keras) (📥 13M / month · 📦 1.7K · ⏱️ 07.01.2025):

pip install keras

- [Conda](https://anaconda.org/conda-forge/keras) (📥 3.9M · ⏱️ 10.01.2025):

conda install -c conda-forge keras

PySpark (🥇45 · ⭐ 41K) - Apache Spark Python API. Apache-2

- [GitHub](https://github.com/apache/spark) (👨‍💻 3.2K · 🔀 28K · ⏱️ 20.02.2025):

git clone https://github.com/apache/spark

- [PyPi](https://pypi.org/project/pyspark) (📥 32M / month · 📦 1.7K · ⏱️ 20.12.2024):

pip install pyspark

- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.7M · ⏱️ 21.12.2024):

conda install -c conda-forge pyspark

jax (🥇45 · ⭐ 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2

- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 830 · 🔀 2.9K · 📦 37K · 📋 6K - 25% open · ⏱️ 20.02.2025):

git clone https://github.com/google/jax

- [PyPi](https://pypi.org/project/jax) (📥 6.7M / month · 📦 2.1K · ⏱️ 17.01.2025):

pip install jax

- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.3M · ⏱️ 06.01.2025):

conda install -c conda-forge jaxlib

XGBoost (🥇45 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2

- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 660 · 🔀 8.7K · 📥 14K · 📦 130K · 📋 5.5K - 8% open · ⏱️ 20.02.2025):

git clone https://github.com/dmlc/xgboost

- [PyPi](https://pypi.org/project/xgboost) (📥 23M / month · 📦 2.3K · ⏱️ 06.02.2025):

pip install xgboost

- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 5.9M · ⏱️ 07.02.2025):

conda install -c conda-forge xgboost

PaddlePaddle (🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.3K · 🔀 5.7K · 📥 15K · 📦 7.1K · 📋 19K - 9% open · ⏱️ 20.02.2025):

git clone https://github.com/PaddlePaddle/Paddle

- [PyPi](https://pypi.org/project/paddlepaddle) (📥 320K / month · 📦 210 · ⏱️ 23.01.2025):

pip install paddlepaddle

StatsModels (🥇45 · ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 450 · 🔀 3.1K · 📥 35 · 📦 150K · 📋 5.7K - 50% open · ⏱️ 19.02.2025):

git clone https://github.com/statsmodels/statsmodels

- [PyPi](https://pypi.org/project/statsmodels) (📥 16M / month · 📦 4.5K · ⏱️ 03.10.2024):

pip install statsmodels

- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 17M · ⏱️ 03.10.2024):

conda install -c conda-forge statsmodels

pytorch-lightning (🥈43 · ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2

- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 990 · 🔀 3.4K · 📥 12K · 📦 42K · 📋 7.2K - 11% open · ⏱️ 18.02.2025):

git clone https://github.com/Lightning-AI/lightning

- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 7.5M / month · 📦 1.5K · ⏱️ 21.12.2024):

pip install pytorch-lightning

- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.4M · ⏱️ 22.12.2024):

conda install -c conda-forge pytorch-lightning

LightGBM (🥈43 · ⭐ 17K · 📈) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 320 · 🔀 3.9K · 📥 280K · 📦 45K · 📋 3.5K - 11% open · ⏱️ 17.02.2025):

git clone https://github.com/microsoft/LightGBM

- [PyPi](https://pypi.org/project/lightgbm) (📥 8.2M / month · 📦 1.2K · ⏱️ 15.02.2025):

pip install lightgbm

- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.2M · ⏱️ 19.02.2025):

conda install -c conda-forge lightgbm

Catboost (🥈41 · ⭐ 8.3K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.3K · 🔀 1.2K · 📥 360K · 📦 16 · 📋 2.4K - 24% open · ⏱️ 20.02.2025):

git clone https://github.com/catboost/catboost

- [PyPi](https://pypi.org/project/catboost) (📥 3M / month · 📦 540 · ⏱️ 07.09.2024):

pip install catboost

- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.9M · ⏱️ 29.01.2025):

conda install -c conda-forge catboost

PyFlink (🥈40 · ⭐ 25K) - Apache Flink Python API. Apache-2

- [GitHub](https://github.com/apache/flink) (👨‍💻 2K · 🔀 14K · 📦 21 · ⏱️ 20.02.2025):

git clone https://github.com/apache/flink

- [PyPi](https://pypi.org/project/apache-flink) (📥 11M / month · 📦 35 · ⏱️ 12.02.2025):

pip install apache-flink

Fastai (🥈39 · ⭐ 27K) - The fastai deep learning library. Apache-2

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 670 · 🔀 7.6K · 📦 21K · 📋 1.8K - 12% open · ⏱️ 14.12.2024):

git clone https://github.com/fastai/fastai

- [PyPi](https://pypi.org/project/fastai) (📥 450K / month · 📦 310 · ⏱️ 19.10.2024):

pip install fastai

Flax (🥈37 · ⭐ 6.4K) - Flax is a neural network library for JAX that is designed for.. Apache-2

- [GitHub](https://github.com/google/flax) (👨‍💻 250 · 🔀 660 · 📥 59 · 📦 12K · 📋 1.1K - 32% open · ⏱️ 19.02.2025):

git clone https://github.com/google/flax

- [PyPi](https://pypi.org/project/flax) (📥 1.2M / month · 📦 540 · ⏱️ 10.02.2025):

pip install flax

- [Conda](https://anaconda.org/conda-forge/flax) (📥 89K · ⏱️ 20.11.2024):

conda install -c conda-forge flax

Jina (🥈36 · ⭐ 21K) - Build multimodal AI applications with cloud-native stack. Apache-2

- [GitHub](https://github.com/jina-ai/serve) (👨‍💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 20.12.2024):

git clone https://github.com/jina-ai/jina

- [PyPi](https://pypi.org/project/jina) (📥 100K / month · 📦 27 · ⏱️ 20.12.2024):

pip install jina

- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 87K · ⏱️ 16.06.2023):

conda install -c conda-forge jina-core

- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 20.12.2024):

docker pull jinaai/jina

ivy (🥈36 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2

- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 18.02.2025):

git clone https://github.com/unifyai/ivy

- [PyPi](https://pypi.org/project/ivy) (📥 20K / month · 📦 16 · ⏱️ 22.01.2025):

pip install ivy

einops (🥈36 · ⭐ 8.7K · 📉) - Flexible and powerful tensor operations for readable and reliable code.. MIT

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 33 · 🔀 360 · 📦 61K · 📋 190 - 17% open · ⏱️ 09.02.2025):

git clone https://github.com/arogozhnikov/einops

- [PyPi](https://pypi.org/project/einops) (📥 7.4M / month · 📦 2.6K · ⏱️ 09.02.2025):

pip install einops

- [Conda](https://anaconda.org/conda-forge/einops) (📥 330K · ⏱️ 09.02.2025):

conda install -c conda-forge einops

mlpack (🥈34 · ⭐ 5.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 330 · 🔀 1.6K · 📋 1.7K - 1% open · ⏱️ 19.02.2025):

git clone https://github.com/mlpack/mlpack

- [PyPi](https://pypi.org/project/mlpack) (📥 5.3K / month · 📦 6 · ⏱️ 11.12.2024):

pip install mlpack

- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 330K · ⏱️ 22.09.2024):

conda install -c conda-forge mlpack

Ignite (🥈34 · ⭐ 4.6K) - High-level library to help with training and evaluating neural.. BSD-3

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 780 · 🔀 630 · 📦 3.5K · 📋 1.4K - 10% open · ⏱️ 17.02.2025):

git clone https://github.com/pytorch/ignite

- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 100K / month · 📦 100 · ⏱️ 20.02.2025):

pip install pytorch-ignite

- [Conda](https://anaconda.org/pytorch/ignite) (📥 220K · ⏱️ 13.08.2024):

conda install -c pytorch ignite

Thinc (🥈34 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 66 · 🔀 280 · 📥 840 · 📦 61K · 📋 150 - 11% open · ⏱️ 11.12.2024):

git clone https://github.com/explosion/thinc

- [PyPi](https://pypi.org/project/thinc) (📥 11M / month · 📦 150 · ⏱️ 13.01.2025):

pip install thinc

- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.4M · ⏱️ 03.12.2024):

conda install -c conda-forge thinc

skorch (🥈33 · ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 66 · 🔀 390 · 📦 1.5K · 📋 530 - 12% open · ⏱️ 04.02.2025):

git clone https://github.com/skorch-dev/skorch

- [PyPi](https://pypi.org/project/skorch) (📥 100K / month · 📦 94 · ⏱️ 10.01.2025):

pip install skorch

- [Conda](https://anaconda.org/conda-forge/skorch) (📥 790K · ⏱️ 11.01.2025):

conda install -c conda-forge skorch

Ludwig (🥉32 · ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 290 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):

git clone https://github.com/ludwig-ai/ludwig

- [PyPi](https://pypi.org/project/ludwig) (📥 2.1K / month · 📦 6 · ⏱️ 30.07.2024):

pip install ludwig

Sonnet (🥉32 · ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 14.02.2025):

git clone https://github.com/deepmind/sonnet

- [PyPi](https://pypi.org/project/dm-sonnet) (📥 21K / month · 📦 19 · ⏱️ 02.01.2024):

pip install dm-sonnet

- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 39K · ⏱️ 16.06.2023):

conda install -c conda-forge sonnet

Vowpal Wabbit (🥉32 · ⭐ 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3

- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 340 · 🔀 1.9K · 📦 1 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):

git clone https://github.com/VowpalWabbit/vowpal_wabbit

- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 38K / month · 📦 40 · ⏱️ 08.08.2024):

pip install vowpalwabbit

- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 320K · ⏱️ 27.11.2024):

conda install -c conda-forge vowpalwabbit

Haiku (🥉31 · ⭐ 3K) - JAX-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 85 · 🔀 240 · 📦 2.3K · 📋 250 - 28% open · ⏱️ 29.01.2025):

git clone https://github.com/deepmind/dm-haiku

- [PyPi](https://pypi.org/project/dm-haiku) (📥 300K / month · 📦 180 · ⏱️ 16.10.2024):

pip install dm-haiku

- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 29K · ⏱️ 23.12.2024):

conda install -c conda-forge dm-haiku

Geomstats (🥉31 · ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT

- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 95 · 🔀 250 · 📦 130 · 📋 570 - 36% open · ⏱️ 08.02.2025):

git clone https://github.com/geomstats/geomstats

- [PyPi](https://pypi.org/project/geomstats) (📥 3.9K / month · 📦 12 · ⏱️ 09.09.2024):

pip install geomstats

- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 5.5K · ⏱️ 01.01.2025):

conda install -c conda-forge geomstats

tensorflow-upstream (🥉31 · ⭐ 690) - TensorFlow ROCm port. Apache-2

- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 4.8K · 🔀 97 · 📥 27 · 📋 390 - 9% open · ⏱️ 20.02.2025):

git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream

- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.5K / month · 📦 9 · ⏱️ 10.01.2024):

pip install tensorflow-rocm

Determined (🥉28 · ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2

- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 12K · 📋 450 - 22% open · ⏱️ 05.02.2025):

git clone https://github.com/determined-ai/determined

- [PyPi](https://pypi.org/project/determined) (📥 24K / month · 📦 4 · ⏱️ 14.02.2025):

pip install determined

NuPIC (🥉27 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT

- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.6K · 📥 18 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):

git clone https://github.com/numenta/nupic

- [PyPi](https://pypi.org/project/nupic) (📥 860 / month · ⏱️ 01.09.2016):

pip install nupic

Neural Network Libraries (🥉27 · ⭐ 2.7K) - Neural Network Libraries. Apache-2

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 15.11.2024):

git clone https://github.com/sony/nnabla

- [PyPi](https://pypi.org/project/nnabla) (📥 12K / month · 📦 44 · ⏱️ 29.05.2024):

pip install nnabla

ktrain (🥉27 · ⭐ 1.2K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2

- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 17 · 🔀 270 · 📦 570 · 📋 500 - 0% open · ⏱️ 09.07.2024):

git clone https://github.com/amaiya/ktrain

- [PyPi](https://pypi.org/project/ktrain) (📥 6.3K / month · 📦 4 · ⏱️ 19.06.2024):

pip install ktrain

pyRiemann (🥉27 · ⭐ 660) - Machine learning for multivariate data through the Riemannian.. BSD-3

- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 36 · 🔀 160 · 📦 430 · 📋 110 - 2% open · ⏱️ 18.02.2025):

git clone https://github.com/pyRiemann/pyRiemann

- [PyPi](https://pypi.org/project/pyriemann) (📥 45K / month · 📦 28 · ⏱️ 12.02.2025):

pip install pyriemann

- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 11K · ⏱️ 12.02.2025):

conda install -c conda-forge pyriemann

Towhee (🥉24 · ⭐ 3.3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2

- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 38 · 🔀 250 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):

git clone https://github.com/towhee-io/towhee

- [PyPi](https://pypi.org/project/towhee) (📥 16K / month · ⏱️ 04.12.2023):

pip install towhee

Neural Tangents (🥉24 · ⭐ 2.3K · 💤) - Fast and Easy Infinite Neural Networks in Python. Apache-2

- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 30 · 🔀 240 · 📥 540 · 📦 120 · 📋 160 - 38% open · ⏱️ 01.03.2024):

git clone https://github.com/google/neural-tangents

- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.5K / month · 📦 1 · ⏱️ 11.12.2023):

pip install neural-tangents

Runhouse (🥉24 · ⭐ 1K) - The Runhouse Python client. Distribute and run AI workloads magically.. Apache-2

- [GitHub](https://github.com/run-house/runhouse) (👨‍💻 16 · 🔀 38 · 📥 69 · 📋 51 - 17% open · ⏱️ 20.02.2025):

git clone https://github.com/run-house/runhouse

- [PyPi](https://pypi.org/project/runhouse) (📥 33K / month · 📦 1 · ⏱️ 19.02.2025):

pip install runhouse

fklearn (🥉23 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2

- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 65 - 61% open · ⏱️ 14.08.2024):

git clone https://github.com/nubank/fklearn

- [PyPi](https://pypi.org/project/fklearn) (📥 2.5K / month · ⏱️ 14.08.2024):

pip install fklearn

ThunderSVM (🥉22 · ⭐ 1.6K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 37 · 🔀 220 · 📥 2.9K · 📋 230 - 35% open · ⏱️ 01.04.2024):

git clone https://github.com/Xtra-Computing/thundersvm

- [PyPi](https://pypi.org/project/thundersvm) (📥 1.3K / month · ⏱️ 13.03.2020):

pip install thundersvm

mace (🥉21 · ⭐ 5K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2

- [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):

git clone https://github.com/XiaoMi/mace

chefboost (🥉21 · ⭐ 470) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT

- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 7 · 🔀 100 · 📦 66 · ⏱️ 30.10.2024):

git clone https://github.com/serengil/chefboost

- [PyPi](https://pypi.org/project/chefboost) (📥 6.3K / month · ⏱️ 30.10.2024):

pip install chefboost

NeoML (🥉19 · ⭐ 770) - Machine learning framework for both deep learning and traditional.. Apache-2

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 30.09.2024):

git clone https://github.com/neoml-lib/neoml

- [PyPi](https://pypi.org/project/neoml) (📥 420 / month · ⏱️ 26.12.2023):

pip install neoml

Show 22 hidden projects...

- MXNet (🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - dlib (🥈38 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - Theano (🥈37 · ⭐ 9.9K · 💀) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - MindsDB (🥈33 · ⭐ 27K) - AGIs query engine - Platform for building AI that can.. ❗️MulanPSL-1.0 - tensorpack (🥈33 · ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Chainer (🥈33 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT - Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (🥉31 · ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (🥉29 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - EvaDB (🥉27 · ⭐ 2.7K · 💀) - Database system for AI-powered apps. Apache-2 - SHOGUN (🥉26 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3 - xLearn (🥉24 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (🥉24 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - Objax (🥉21 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. Apache-2 - Torchbearer (🥉21 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - elegy (🥉19 · ⭐ 470 · 💀) - A High Level API for Deep Learning in JAX. MIT - ThunderGBM (🥉18 · ⭐ 690 · 💀) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - StarSpace (🥉16 · ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT - nanodl (🥉14 · ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT

Data Visualization¶

General-purpose and task-specific data visualization libraries.

Matplotlib (🥇49 · ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.8K · 🔀 7.7K · 📦 1.6M · 📋 11K - 14% open · ⏱️ 19.02.2025):

git clone https://github.com/matplotlib/matplotlib

- [PyPi](https://pypi.org/project/matplotlib) (📥 72M / month · 📦 53K · ⏱️ 14.12.2024):

pip install matplotlib

- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 28M · ⏱️ 16.12.2024):

conda install -c conda-forge matplotlib

Plotly (🥇46 · ⭐ 17K) - The interactive graphing library for Python. MIT

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 280 · 🔀 2.6K · 📥 40 · 📦 370K · 📋 3.1K - 19% open · ⏱️ 19.02.2025):

git clone https://github.com/plotly/plotly.py

- [PyPi](https://pypi.org/project/plotly) (📥 19M / month · 📦 7.3K · ⏱️ 28.01.2025):

pip install plotly

- [Conda](https://anaconda.org/conda-forge/plotly) (📥 8.4M · ⏱️ 31.01.2025):

conda install -c conda-forge plotly

- [npm](https://www.npmjs.com/package/plotlywidget) (📥 68K / month · 📦 9 · ⏱️ 12.01.2021):

npm install plotlywidget

Bokeh (🥇45 · ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 710 · 🔀 4.2K · 📦 98K · 📋 7.9K - 10% open · ⏱️ 18.02.2025):

git clone https://github.com/bokeh/bokeh

- [PyPi](https://pypi.org/project/bokeh) (📥 4M / month · 📦 1.9K · ⏱️ 13.02.2025):

pip install bokeh

- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 16M · ⏱️ 06.02.2025):

conda install -c conda-forge bokeh

dash (🥇43 · ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT

- [GitHub](https://github.com/plotly/dash) (👨‍💻 170 · 🔀 2.1K · 📥 88 · 📦 78K · 📋 1.9K - 27% open · ⏱️ 14.02.2025):

git clone https://github.com/plotly/dash

- [PyPi](https://pypi.org/project/dash) (📥 4.7M / month · 📦 1.5K · ⏱️ 18.02.2025):

pip install dash

- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.7M · ⏱️ 24.01.2025):

conda install -c conda-forge dash

Seaborn (🥇42 · ⭐ 13K) - Statistical data visualization in Python. BSD-3

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 1.9K · 📥 470 · 📦 570K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):

git clone https://github.com/mwaskom/seaborn

- [PyPi](https://pypi.org/project/seaborn) (📥 22M / month · 📦 11K · ⏱️ 25.01.2024):

pip install seaborn

- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 12M · ⏱️ 09.12.2024):

conda install -c conda-forge seaborn

Altair (🥇42 · ⭐ 9.6K · 📉) - Declarative visualization library for Python. BSD-3

- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 790 · 📥 220 · 📦 200K · 📋 2.1K - 6% open · ⏱️ 17.02.2025):

git clone https://github.com/altair-viz/altair

- [PyPi](https://pypi.org/project/altair) (📥 25M / month · 📦 920 · ⏱️ 23.11.2024):

pip install altair

- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.6M · ⏱️ 15.12.2024):

conda install -c conda-forge altair

FiftyOne (🥈38 · ⭐ 9.2K) - Visualize, create, and debug image and video datasets.. Apache-2

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 150 · 🔀 590 · 📦 830 · 📋 1.6K - 32% open · ⏱️ 20.02.2025):

git clone https://github.com/voxel51/fiftyone

- [PyPi](https://pypi.org/project/fiftyone) (📥 71K / month · 📦 25 · ⏱️ 24.01.2025):

pip install fiftyone

PyVista (🥈38 · ⭐ 2.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 170 · 🔀 530 · 📥 870 · 📦 4.1K · 📋 1.8K - 36% open · ⏱️ 18.02.2025):

git clone https://github.com/pyvista/pyvista

- [PyPi](https://pypi.org/project/pyvista) (📥 420K / month · 📦 580 · ⏱️ 27.11.2024):

pip install pyvista

- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 630K · ⏱️ 15.12.2024):

conda install -c conda-forge pyvista

pandas-profiling (🥈37 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT

- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 130 · 🔀 1.7K · 📥 260 · 📦 5.4K · 📋 820 - 28% open · ⏱️ 18.02.2025):

git clone https://github.com/ydataai/pandas-profiling

- [PyPi](https://pypi.org/project/pandas-profiling) (📥 420K / month · 📦 180 · ⏱️ 03.02.2023):

pip install pandas-profiling

- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 490K · ⏱️ 16.06.2023):

conda install -c conda-forge pandas-profiling

HoloViews (🥈37 · ⭐ 2.8K) - With Holoviews, your data visualizes itself. BSD-3

- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 150 · 🔀 400 · 📦 14K · 📋 3.4K - 33% open · ⏱️ 20.02.2025):

git clone https://github.com/holoviz/holoviews

- [PyPi](https://pypi.org/project/holoviews) (📥 460K / month · 📦 420 · ⏱️ 19.02.2025):

pip install holoviews

- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2M · ⏱️ 19.02.2025):

conda install -c conda-forge holoviews

- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 270 / month · 📦 5 · ⏱️ 14.01.2025):

npm install @pyviz/jupyterlab_pyviz

pyecharts (🥈36 · ⭐ 15K) - Python Echarts Plotting Library. MIT

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 72 · 📦 5K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):

git clone https://github.com/pyecharts/pyecharts

- [PyPi](https://pypi.org/project/pyecharts) (📥 320K / month · 📦 220 · ⏱️ 24.01.2025):

pip install pyecharts

PyQtGraph (🥈36 · ⭐ 4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 11K · 📋 1.3K - 32% open · ⏱️ 06.02.2025):

git clone https://github.com/pyqtgraph/pyqtgraph

- [PyPi](https://pypi.org/project/pyqtgraph) (📥 350K / month · 📦 1K · ⏱️ 29.04.2024):

pip install pyqtgraph

- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 650K · ⏱️ 11.12.2024):

conda install -c conda-forge pyqtgraph

Graphviz (🥈36 · ⭐ 1.7K · 💤) - Simple Python interface for Graphviz. MIT

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 23 · 🔀 210 · 📦 82K · 📋 180 - 6% open · ⏱️ 13.05.2024):

git clone https://github.com/xflr6/graphviz

- [PyPi](https://pypi.org/project/graphviz) (📥 15M / month · 📦 2.9K · ⏱️ 21.03.2024):

pip install graphviz

- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 52K · ⏱️ 18.02.2025):

conda install -c anaconda python-graphviz

plotnine (🥈35 · ⭐ 4.1K) - A Grammar of Graphics for Python. MIT

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 230 · 📦 11K · 📋 700 - 11% open · ⏱️ 20.02.2025):

git clone https://github.com/has2k1/plotnine

- [PyPi](https://pypi.org/project/plotnine) (📥 2.8M / month · 📦 340 · ⏱️ 02.01.2025):

pip install plotnine

- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 440K · ⏱️ 02.01.2025):

conda install -c conda-forge plotnine

cartopy (🥈35 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3

- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 130 · 🔀 370 · 📦 6.6K · 📋 1.3K - 23% open · ⏱️ 24.01.2025):

git clone https://github.com/SciTools/cartopy

- [PyPi](https://pypi.org/project/cartopy) (📥 430K / month · 📦 720 · ⏱️ 08.10.2024):

pip install cartopy

- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.5M · ⏱️ 07.10.2024):

conda install -c conda-forge cartopy

wordcloud (🥈34 · ⭐ 10K) - A little word cloud generator in Python. MIT

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 72 · 🔀 2.3K · 📦 21 · 📋 550 - 23% open · ⏱️ 10.11.2024):

git clone https://github.com/amueller/word_cloud

- [PyPi](https://pypi.org/project/wordcloud) (📥 1.7M / month · 📦 550 · ⏱️ 10.11.2024):

pip install wordcloud

- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 630K · ⏱️ 02.12.2024):

conda install -c conda-forge wordcloud

Perspective (🥈34 · ⭐ 8.8K) - A data visualization and analytics component, especially.. Apache-2

- [GitHub](https://github.com/finos/perspective) (👨‍💻 98 · 🔀 1.2K · 📥 9K · 📦 160 · 📋 860 - 12% open · ⏱️ 14.02.2025):

git clone https://github.com/finos/perspective

- [PyPi](https://pypi.org/project/perspective-python) (📥 15K / month · 📦 28 · ⏱️ 10.02.2025):

pip install perspective-python

- [Conda](https://anaconda.org/conda-forge/perspective) (📥 1.9M · ⏱️ 10.02.2025):

conda install -c conda-forge perspective

- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 700 / month · 📦 6 · ⏱️ 10.02.2025):

npm install @finos/perspective-jupyterlab

datashader (🥈34 · ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 61 · 🔀 370 · 📦 5.5K · 📋 600 - 23% open · ⏱️ 17.02.2025):

git clone https://github.com/holoviz/datashader

- [PyPi](https://pypi.org/project/datashader) (📥 170K / month · 📦 230 · ⏱️ 29.01.2025):

pip install datashader

- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.3M · ⏱️ 30.01.2025):

conda install -c conda-forge datashader

UMAP (🥈33 · ⭐ 7.6K) - Uniform Manifold Approximation and Projection. BSD-3

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 820 · 📦 1 · 📋 840 - 59% open · ⏱️ 29.11.2024):

git clone https://github.com/lmcinnes/umap

- [PyPi](https://pypi.org/project/umap-learn) (📥 1.7M / month · 📦 1.1K · ⏱️ 28.10.2024):

pip install umap-learn

- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 2.8M · ⏱️ 11.02.2025):

conda install -c conda-forge umap-learn

VisPy (🥈33 · ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3

- [GitHub](https://github.com/vispy/vispy) (👨‍💻 200 · 🔀 620 · 📦 1.9K · 📋 1.5K - 24% open · ⏱️ 22.01.2025):

git clone https://github.com/vispy/vispy

- [PyPi](https://pypi.org/project/vispy) (📥 110K / month · 📦 170 · ⏱️ 17.06.2024):

pip install vispy

- [Conda](https://anaconda.org/conda-forge/vispy) (📥 740K · ⏱️ 04.09.2024):

conda install -c conda-forge vispy

- [npm](https://www.npmjs.com/package/vispy) (📥 33 / month · 📦 3 · ⏱️ 15.03.2020):

npm install vispy

lets-plot (🥈32 · ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 53 · 📥 3.2K · 📦 160 · 📋 680 - 24% open · ⏱️ 20.02.2025):

git clone https://github.com/JetBrains/lets-plot

- [PyPi](https://pypi.org/project/lets-plot) (📥 24K / month · 📦 15 · ⏱️ 19.02.2025):

pip install lets-plot

hvPlot (🥈32 · ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 51 · 🔀 110 · 📦 6.6K · 📋 850 - 43% open · ⏱️ 11.02.2025):

git clone https://github.com/holoviz/hvplot

- [PyPi](https://pypi.org/project/hvplot) (📥 200K / month · 📦 220 · ⏱️ 16.12.2024):

pip install hvplot

- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 720K · ⏱️ 16.12.2024):

conda install -c conda-forge hvplot

mpld3 (🥉31 · ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3

- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 53 · 🔀 360 · 📦 7K · 📋 370 - 59% open · ⏱️ 30.10.2024):

git clone https://github.com/mpld3/mpld3

- [PyPi](https://pypi.org/project/mpld3) (📥 350K / month · 📦 150 · ⏱️ 23.12.2023):

pip install mpld3

- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 220K · ⏱️ 19.12.2024):

conda install -c conda-forge mpld3

- [npm](https://www.npmjs.com/package/mpld3) (📥 1K / month · 📦 9 · ⏱️ 23.12.2023):

npm install mpld3

D-Tale (🥉30 · ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 30 · 🔀 410 · 📦 1.4K · 📋 600 - 10% open · ⏱️ 13.12.2024):

git clone https://github.com/man-group/dtale

- [PyPi](https://pypi.org/project/dtale) (📥 99K / month · 📦 48 · ⏱️ 13.12.2024):

pip install dtale

- [Conda](https://anaconda.org/conda-forge/dtale) (📥 390K · ⏱️ 13.12.2024):

conda install -c conda-forge dtale

bqplot (🥉30 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):

git clone https://github.com/bqplot/bqplot

- [PyPi](https://pypi.org/project/bqplot) (📥 180K / month · 📦 110 · ⏱️ 24.12.2024):

pip install bqplot

- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.5M · ⏱️ 16.12.2024):

conda install -c conda-forge bqplot

- [npm](https://www.npmjs.com/package/bqplot) (📥 2.1K / month · 📦 21 · ⏱️ 24.12.2024):

npm install bqplot

AutoViz (🥉26 · ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. Apache-2

- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 17 · 🔀 200 · 📦 820 · 📋 98 - 2% open · ⏱️ 10.06.2024):

git clone https://github.com/AutoViML/AutoViz

- [PyPi](https://pypi.org/project/autoviz) (📥 17K / month · 📦 11 · ⏱️ 10.06.2024):

pip install autoviz

- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 77K · ⏱️ 17.01.2025):

conda install -c conda-forge autoviz

openTSNE (🥉26 · ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 13 · 🔀 170 · 📦 980 · 📋 140 - 7% open · ⏱️ 24.10.2024):

git clone https://github.com/pavlin-policar/openTSNE

- [PyPi](https://pypi.org/project/opentsne) (📥 41K / month · 📦 47 · ⏱️ 13.08.2024):

pip install opentsne

- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 400K · ⏱️ 16.11.2024):

conda install -c conda-forge opentsne

data-validation (🥉26 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 27 · 🔀 170 · 📥 950 · 📋 180 - 21% open · ⏱️ 30.01.2025):

git clone https://github.com/tensorflow/data-validation

- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 160K / month · 📦 31 · ⏱️ 15.10.2024):

pip install tensorflow-data-validation

Chartify (🥉25 · ⭐ 3.6K) - Python library that makes it easy for data scientists to create.. Apache-2

- [GitHub](https://github.com/spotify/chartify) (👨‍💻 27 · 🔀 320 · 📦 80 · 📋 83 - 61% open · ⏱️ 16.10.2024):

git clone https://github.com/spotify/chartify

- [PyPi](https://pypi.org/project/chartify) (📥 1.4K / month · 📦 9 · ⏱️ 16.10.2024):

pip install chartify

- [Conda](https://anaconda.org/conda-forge/chartify) (📥 36K · ⏱️ 16.06.2023):

conda install -c conda-forge chartify

HyperTools (🥉25 · ⭐ 1.8K · 💤) - A Python toolbox for gaining geometric insights into high-.. MIT

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 22 · 🔀 160 · 📥 68 · 📦 500 · 📋 200 - 34% open · ⏱️ 19.03.2024):

git clone https://github.com/ContextLab/hypertools

- [PyPi](https://pypi.org/project/hypertools) (📥 470 / month · 📦 2 · ⏱️ 12.02.2022):

pip install hypertools

Plotly-Resampler (🥉25 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT

- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 71 · 📦 1.7K · 📋 180 - 31% open · ⏱️ 15.12.2024):

git clone https://github.com/predict-idlab/plotly-resampler

- [PyPi](https://pypi.org/project/plotly-resampler) (📥 420K / month · 📦 24 · ⏱️ 27.03.2024):

pip install plotly-resampler

- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 96K · ⏱️ 05.12.2024):

conda install -c conda-forge plotly-resampler

python-ternary (🥉25 · ⭐ 750 · 💤) - Ternary plotting library for python with matplotlib. MIT

- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 28 · 🔀 160 · 📥 35 · 📦 200 · 📋 140 - 24% open · ⏱️ 12.06.2024):

git clone https://github.com/marcharper/python-ternary

- [PyPi](https://pypi.org/project/python-ternary) (📥 22K / month · 📦 32 · ⏱️ 17.02.2021):

pip install python-ternary

- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 98K · ⏱️ 03.01.2025):

conda install -c conda-forge python-ternary

Multicore-TSNE (🥉23 · ⭐ 1.9K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3

- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨‍💻 18 · 🔀 230 · 📦 490 · 📋 69 - 65% open · ⏱️ 06.02.2024):

git clone https://github.com/DmitryUlyanov/Multicore-TSNE

- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 1.5K / month · 📦 22 · ⏱️ 09.01.2019):

pip install MulticoreTSNE

- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 68K · ⏱️ 11.10.2023):

conda install -c conda-forge multicore-tsne

vega (🥉23 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3

- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):

git clone https://github.com/vega/ipyvega

- [PyPi](https://pypi.org/project/vega) (📥 11K / month · 📦 17 · ⏱️ 25.09.2024):

pip install vega

- [Conda](https://anaconda.org/conda-forge/vega) (📥 710K · ⏱️ 25.09.2024):

conda install -c conda-forge vega

PyWaffle (🥉22 · ⭐ 600 · 💤) - Make Waffle Charts in Python. MIT

- [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 110 · 📦 460 · 📋 22 - 27% open · ⏱️ 16.06.2024):

git clone https://github.com/gyli/PyWaffle

- [PyPi](https://pypi.org/project/pywaffle) (📥 11K / month · 📦 6 · ⏱️ 16.06.2024):

pip install pywaffle

- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 15K · ⏱️ 16.01.2025):

conda install -c conda-forge pywaffle

Popmon (🥉22 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT

- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):

git clone https://github.com/ing-bank/popmon

- [PyPi](https://pypi.org/project/popmon) (📥 8.7K / month · 📦 4 · ⏱️ 24.01.2025):

pip install popmon

vegafusion (🥉21 · ⭐ 350) - Serverside scaling for Vega and Altair visualizations. BSD-3

- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 5 · 🔀 18 · 📥 10K · 📋 140 - 37% open · ⏱️ 25.11.2024):

git clone https://github.com/vegafusion/vegafusion

- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 2.2K / month · 📦 2 · ⏱️ 09.05.2024):

pip install vegafusion-jupyter

- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 380K · ⏱️ 31.10.2024):

conda install -c conda-forge vegafusion-python-embed

- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 91 / month · 📦 3 · ⏱️ 09.05.2024):

npm install vegafusion-jupyter

ivis (🥉19 · ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2

- [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 10 · 🔀 44 · 📦 36 · 📋 60 - 5% open · ⏱️ 29.09.2024):

git clone https://github.com/beringresearch/ivis

- [PyPi](https://pypi.org/project/ivis) (📥 1.2K / month · 📦 2 · ⏱️ 13.06.2024):

pip install ivis

animatplot (🥉18 · ⭐ 410) - A python package for animating plots build on matplotlib. MIT

- [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 6 · 🔀 38 · 📦 72 · 📋 37 - 45% open · ⏱️ 29.08.2024):

git clone https://github.com/t-makaro/animatplot

- [PyPi](https://pypi.org/project/animatplot) (📥 430 / month · 📦 4 · ⏱️ 29.08.2024):

pip install animatplot

- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 16K · ⏱️ 01.09.2024):

conda install -c conda-forge animatplot

Show 16 hidden projects...

- missingno (🥉29 · ⭐ 4K · 💀) - Missing data visualization module for Python. MIT - Cufflinks (🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas. MIT - Facets Overview (🥉27 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. Apache-2 - Sweetviz (🥉27 · ⭐ 3K · 💀) - Visualize and compare datasets, target values and associations, with.. MIT - pythreejs (🥉27 · ⭐ 960 · 💀) - A Jupyter - Three.js bridge. BSD-3 - ridgeplot (🥉25 · ⭐ 220) - Beautiful ridgeline plots in Python. MIT - HiPlot (🥉24 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (🥉23 · ⭐ 3.2K · 💀) - A GUI for Pandas DataFrames. ❗️MIT-0 - Pandas-Bokeh (🥉23 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (🥉23 · ⭐ 700 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (🥉22 · ⭐ 580 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (🥉21 · ⭐ 850 · 💀) - python partial dependence plot toolbox. MIT - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉13 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

Text Data & NLP¶

Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.

transformers (🥇52 · ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2

- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 3.1K · 🔀 28K · 📦 290K · 📋 17K - 8% open · ⏱️ 20.02.2025):

git clone https://github.com/huggingface/transformers

- [PyPi](https://pypi.org/project/transformers) (📥 45M / month · 📦 7.7K · ⏱️ 17.02.2025):

pip install transformers

- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.5M · ⏱️ 17.02.2025):

conda install -c conda-forge transformers

nltk (🥇45 · ⭐ 14K · 📈) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 470 · 🔀 2.9K · 📦 350K · 📋 1.9K - 14% open · ⏱️ 20.02.2025):

git clone https://github.com/nltk/nltk

- [PyPi](https://pypi.org/project/nltk) (📥 25M / month · 📦 4.7K · ⏱️ 18.08.2024):

pip install nltk

- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3M · ⏱️ 16.12.2024):

conda install -c conda-forge nltk

spaCy (🥇44 · ⭐ 31K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 760 · 🔀 4.4K · 📥 1.5K · 📦 120K · 📋 5.7K - 3% open · ⏱️ 03.02.2025):

git clone https://github.com/explosion/spaCy

- [PyPi](https://pypi.org/project/spacy) (📥 12M / month · 📦 2.9K · ⏱️ 14.01.2025):

pip install spacy

- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.3M · ⏱️ 24.11.2024):

conda install -c conda-forge spacy

litellm (🥇44 · ⭐ 18K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s

- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 410 · 🔀 2.2K · 📥 410 · 📦 7.7K · 📋 4.7K - 26% open · ⏱️ 20.02.2025):

git clone https://github.com/BerriAI/litellm

- [PyPi](https://pypi.org/project/litellm) (📥 5.6M / month · 📦 840 · ⏱️ 20.02.2025):

pip install litellm

sentence-transformers (🥇42 · ⭐ 16K) - State-of-the-Art Text Embeddings. Apache-2

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 210 · 🔀 2.5K · 📦 73K · 📋 2.3K - 52% open · ⏱️ 14.02.2025):

git clone https://github.com/UKPLab/sentence-transformers

- [PyPi](https://pypi.org/project/sentence-transformers) (📥 7.4M / month · 📦 2.1K · ⏱️ 29.01.2025):

pip install sentence-transformers

- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 550K · ⏱️ 30.01.2025):

conda install -c conda-forge sentence-transformers

flair (🥇41 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 3.8K · 📋 2.4K - 4% open · ⏱️ 05.02.2025):

git clone https://github.com/flairNLP/flair

- [PyPi](https://pypi.org/project/flair) (📥 150K / month · 📦 150 · ⏱️ 05.02.2025):

pip install flair

- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 39K · ⏱️ 26.12.2024):

conda install -c conda-forge python-flair

Tokenizers (🥇40 · ⭐ 9.4K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 110 · 🔀 820 · 📥 73 · 📦 140K · 📋 1K - 6% open · ⏱️ 11.02.2025):

git clone https://github.com/huggingface/tokenizers

- [PyPi](https://pypi.org/project/tokenizers) (📥 37M / month · 📦 1.1K · ⏱️ 27.11.2024):

pip install tokenizers

- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 2.6M · ⏱️ 27.11.2024):

conda install -c conda-forge tokenizers

Rasa (🥇39 · ⭐ 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 590 · 🔀 4.7K · 📦 4.8K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):

git clone https://github.com/RasaHQ/rasa

- [PyPi](https://pypi.org/project/rasa) (📥 250K / month · 📦 60 · ⏱️ 14.01.2025):

pip install rasa

gensim (🥇38 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1

- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 5.8K · 📦 71K · 📋 1.9K - 20% open · ⏱️ 14.02.2025):

git clone https://github.com/RaRe-Technologies/gensim

- [PyPi](https://pypi.org/project/gensim) (📥 4.4M / month · 📦 1.4K · ⏱️ 19.07.2024):

pip install gensim

- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.5M · ⏱️ 03.09.2024):

conda install -c conda-forge gensim

ChatterBot (🥇38 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3

- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 110 · 🔀 4.5K · 📦 6.1K · 📋 1.7K - 15% open · ⏱️ 19.02.2025):

git clone https://github.com/gunthercox/ChatterBot

- [PyPi](https://pypi.org/project/chatterbot) (📥 35K / month · 📦 18 · ⏱️ 19.02.2025):

pip install chatterbot

TextBlob (🥇38 · ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT

- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 120 · 📦 50K · 📋 280 - 34% open · ⏱️ 11.02.2025):

git clone https://github.com/sloria/TextBlob

- [PyPi](https://pypi.org/project/textblob) (📥 1.2M / month · 📦 400 · ⏱️ 13.01.2025):

pip install textblob

- [Conda](https://anaconda.org/conda-forge/textblob) (📥 280K · ⏱️ 16.06.2023):

conda install -c conda-forge textblob

fairseq (🥈37 · ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.4K · 📥 380 · 📦 4K · 📋 4.3K - 29% open · ⏱️ 18.10.2024):

git clone https://github.com/facebookresearch/fairseq

- [PyPi](https://pypi.org/project/fairseq) (📥 120K / month · 📦 120 · ⏱️ 27.06.2022):

pip install fairseq

- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 130K · ⏱️ 15.02.2025):

conda install -c conda-forge fairseq

NeMo (🥈37 · ⭐ 13K) - A scalable generative AI framework built for researchers and.. Apache-2

- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 390 · 🔀 2.7K · 📥 340K · 📦 21 · 📋 2.5K - 5% open · ⏱️ 20.02.2025):

git clone https://github.com/NVIDIA/NeMo

- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 77K / month · 📦 14 · ⏱️ 17.02.2025):

pip install nemo-toolkit

sentencepiece (🥈37 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 89 · 🔀 1.2K · 📥 52K · 📦 95K · 📋 760 - 5% open · ⏱️ 18.08.2024):

git clone https://github.com/google/sentencepiece

- [PyPi](https://pypi.org/project/sentencepiece) (📥 23M / month · 📦 1.7K · ⏱️ 19.02.2024):

pip install sentencepiece

- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.4M · ⏱️ 31.12.2024):

conda install -c conda-forge sentencepiece

haystack (🥈36 · ⭐ 19K · 📈) - AI orchestration framework to build customizable, production-.. Apache-2

- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 280 · 🔀 2.1K · 📦 870 · 📋 3.7K - 2% open · ⏱️ 20.02.2025):

git clone https://github.com/deepset-ai/haystack

- [PyPi](https://pypi.org/project/haystack) (📥 5.5K / month · 📦 5 · ⏱️ 15.12.2021):

pip install haystack

TensorFlow Text (🥈36 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 170 · 🔀 350 · 📦 8.1K · 📋 360 - 52% open · ⏱️ 19.02.2025):

git clone https://github.com/tensorflow/text

- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.9M / month · 📦 220 · ⏱️ 16.12.2024):

pip install tensorflow-text

spark-nlp (🥈35 · ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 110 · 🔀 720 · 📦 560 · 📋 910 - 4% open · ⏱️ 30.01.2025):

git clone https://github.com/JohnSnowLabs/spark-nlp

- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.3M / month · 📦 37 · ⏱️ 30.01.2025):

pip install spark-nlp

fastText (🥈34 · ⭐ 26K · 💤) - Library for fast text representation and classification. MIT

- [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 68 · 🔀 4.7K · 📦 7.3K · 📋 1.2K - 47% open · ⏱️ 13.03.2024):

git clone https://github.com/facebookresearch/fastText

- [PyPi](https://pypi.org/project/fasttext) (📥 1.4M / month · 📦 250 · ⏱️ 12.06.2024):

pip install fasttext

- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 120K · ⏱️ 19.05.2024):

conda install -c conda-forge fasttext

stanza (🥈34 · ⭐ 7.4K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 69 · 🔀 900 · 📦 3.5K · 📋 920 - 10% open · ⏱️ 24.12.2024):

git clone https://github.com/stanfordnlp/stanza

- [PyPi](https://pypi.org/project/stanza) (📥 300K / month · 📦 200 · ⏱️ 24.12.2024):

pip install stanza

- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.4K · ⏱️ 16.06.2023):

conda install -c stanfordnlp stanza

qdrant (🥈33 · ⭐ 22K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2

- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 130 · 🔀 1.5K · 📥 330K · 📦 120 · 📋 1.4K - 24% open · ⏱️ 17.02.2025):

git clone https://github.com/qdrant/qdrant

OpenNMT (🥈33 · ⭐ 6.8K · 💤) - Open Source Neural Machine Translation and (Large) Language.. MIT

- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.2K · 📦 310 · 📋 1.5K - 1% open · ⏱️ 27.06.2024):

git clone https://github.com/OpenNMT/OpenNMT-py

- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 16K / month · 📦 23 · ⏱️ 18.03.2024):

pip install OpenNMT-py

rubrix (🥈33 · ⭐ 4.3K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2

- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 410 · 📦 2.9K · 📋 2.2K - 2% open · ⏱️ 17.02.2025):

git clone https://github.com/recognai/rubrix

- [PyPi](https://pypi.org/project/rubrix) (📥 3.8K / month · ⏱️ 24.10.2022):

pip install rubrix

- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 42K · ⏱️ 16.06.2023):

conda install -c conda-forge rubrix

torchtext (🥈33 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3

- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 14.08.2024):

git clone https://github.com/pytorch/text

- [PyPi](https://pypi.org/project/torchtext) (📥 610K / month · 📦 280 · ⏱️ 24.04.2024):

pip install torchtext

jellyfish (🥈33 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT

- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 34 · 🔀 160 · 📦 13K · 📋 140 - 4% open · ⏱️ 31.12.2024):

git clone https://github.com/jamesturk/jellyfish

- [PyPi](https://pypi.org/project/jellyfish) (📥 6.1M / month · 📦 280 · ⏱️ 14.12.2024):

pip install jellyfish

- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.2M · ⏱️ 17.12.2024):

conda install -c conda-forge jellyfish

ftfy (🥈32 · ⭐ 3.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 20 · 🔀 120 · 📥 38 · 📦 27K · 📋 150 - 6% open · ⏱️ 30.10.2024):

git clone https://github.com/rspeer/python-ftfy

- [PyPi](https://pypi.org/project/ftfy) (📥 5.9M / month · 📦 570 · ⏱️ 26.10.2024):

pip install ftfy

- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 320K · ⏱️ 23.12.2024):

conda install -c conda-forge ftfy

snowballstemmer (🥈31 · ⭐ 770) - Snowball compiler and stemming algorithms. BSD-3

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 35 · 🔀 170 · 📦 10 · 📋 91 - 27% open · ⏱️ 19.02.2025):

git clone https://github.com/snowballstem/snowball

- [PyPi](https://pypi.org/project/snowballstemmer) (📥 17M / month · 📦 450 · ⏱️ 16.11.2021):

pip install snowballstemmer

- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.3M · ⏱️ 16.06.2023):

conda install -c conda-forge snowballstemmer

DeepPavlov (🥈29 · ⭐ 6.8K) - An open source library for deep learning end-to-end dialog.. Apache-2

- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 77 · 🔀 1.2K · 📦 420 · 📋 640 - 4% open · ⏱️ 26.11.2024):

git clone https://github.com/deepmipt/DeepPavlov

- [PyPi](https://pypi.org/project/deeppavlov) (📥 11K / month · 📦 4 · ⏱️ 12.08.2024):

pip install deeppavlov

Dedupe (🥈29 · ⭐ 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 550 · 📦 350 · 📋 820 - 9% open · ⏱️ 01.11.2024):

git clone https://github.com/dedupeio/dedupe

- [PyPi](https://pypi.org/project/dedupe) (📥 82K / month · 📦 19 · ⏱️ 15.08.2024):

pip install dedupe

- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 97K · ⏱️ 16.06.2023):

conda install -c conda-forge dedupe

Sumy (🥈29 · ⭐ 3.6K · 💤) - Module for automatic summarization of text documents and HTML pages. Apache-2

- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 32 · 🔀 530 · 📦 3.6K · 📋 120 - 18% open · ⏱️ 16.05.2024):

git clone https://github.com/miso-belica/sumy

- [PyPi](https://pypi.org/project/sumy) (📥 130K / month · 📦 31 · ⏱️ 23.10.2022):

pip install sumy

- [Conda](https://anaconda.org/conda-forge/sumy) (📥 11K · ⏱️ 03.01.2025):

conda install -c conda-forge sumy

TextDistance (🥈29 · ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 17 · 🔀 250 · 📥 1.1K · 📦 7.9K · ⏱️ 09.09.2024):

git clone https://github.com/life4/textdistance

- [PyPi](https://pypi.org/project/textdistance) (📥 950K / month · 📦 99 · ⏱️ 16.07.2024):

pip install textdistance

- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 740K · ⏱️ 05.01.2025):

conda install -c conda-forge textdistance

spacy-transformers (🥈29 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy

- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 23 · 🔀 170 · 📥 110 · 📦 2.1K · ⏱️ 06.02.2025):

git clone https://github.com/explosion/spacy-transformers

- [PyPi](https://pypi.org/project/spacy-transformers) (📥 200K / month · 📦 98 · ⏱️ 06.02.2025):

pip install spacy-transformers

- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 100K · ⏱️ 09.02.2025):

conda install -c conda-forge spacy-transformers

Opik (🥈28 · ⭐ 5.1K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2

- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 36 · 🔀 340 · 📥 11 · 📋 160 - 23% open · ⏱️ 20.02.2025):

git clone https://github.com/comet-ml/opik

- [PyPi](https://pypi.org/project/opik) (📥 36K / month · 📦 4 · ⏱️ 19.02.2025):

pip install opik

SciSpacy (🥈28 · ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 37 · 🔀 230 · 📦 1.1K · 📋 320 - 9% open · ⏱️ 23.11.2024):

git clone https://github.com/allenai/scispacy

- [PyPi](https://pypi.org/project/scispacy) (📥 31K / month · 📦 34 · ⏱️ 27.10.2024):

pip install scispacy

CLTK (🥈28 · ⭐ 850) - The Classical Language Toolkit. MIT

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 330 · 📥 110 · 📦 290 · 📋 580 - 6% open · ⏱️ 01.12.2024):

git clone https://github.com/cltk/cltk

- [PyPi](https://pypi.org/project/cltk) (📥 4.3K / month · 📦 17 · ⏱️ 01.12.2024):

pip install cltk

english-words (🥉27 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense

- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 73% open · ⏱️ 06.01.2025):

git clone https://github.com/dwyl/english-words

- [PyPi](https://pypi.org/project/english-words) (📥 33K / month · 📦 14 · ⏱️ 24.05.2023):

pip install english-words

DeepKE (🥉26 · ⭐ 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT

- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 33 · 🔀 690 · 📦 24 · 📋 600 - 1% open · ⏱️ 13.02.2025):

git clone https://github.com/zjunlp/deepke

- [PyPi](https://pypi.org/project/deepke) (📥 950 / month · ⏱️ 21.09.2023):

pip install deepke

scattertext (🥉26 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2

- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 290 · 📦 650 · 📋 100 - 21% open · ⏱️ 23.09.2024):

git clone https://github.com/JasonKessler/scattertext

- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 5 · ⏱️ 23.09.2024):

pip install scattertext

- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 110K · ⏱️ 16.06.2023):

conda install -c conda-forge scattertext

PyTextRank (🥉26 · ⭐ 2.2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. MIT

- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 19 · 🔀 340 · 📦 810 · 📋 100 - 12% open · ⏱️ 21.05.2024):

git clone https://github.com/DerwenAI/pytextrank

- [PyPi](https://pypi.org/project/pytextrank) (📥 69K / month · 📦 19 · ⏱️ 21.02.2024):

pip install pytextrank

detoxify (🥉24 · ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2

- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 14 · 🔀 120 · 📥 890K · 📦 790 · 📋 66 - 56% open · ⏱️ 21.01.2025):

git clone https://github.com/unitaryai/detoxify

- [PyPi](https://pypi.org/project/detoxify) (📥 28K / month · 📦 30 · ⏱️ 01.02.2024):

pip install detoxify

T5 (🥉23 · ⭐ 6.3K · 💤) - Code for the paper Exploring the Limits of Transfer Learning with.. Apache-2

- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 59 · 🔀 760 · 📋 450 - 23% open · ⏱️ 28.06.2024):

git clone https://github.com/google-research/text-to-text-transfer-transformer

- [PyPi](https://pypi.org/project/t5) (📥 40K / month · 📦 2 · ⏱️ 18.10.2021):

pip install t5

Sockeye (🥉22 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2

- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):

git clone https://github.com/awslabs/sockeye

- [PyPi](https://pypi.org/project/sockeye) (📥 1.4K / month · ⏱️ 03.03.2023):

pip install sockeye

finetune (🥉22 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0

- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 23 · 🔀 79 · 📦 14 · 📋 140 - 15% open · ⏱️ 10.02.2025):

git clone https://github.com/IndicoDataSolutions/finetune

- [PyPi](https://pypi.org/project/finetune) (📥 600 / month · 📦 2 · ⏱️ 29.09.2023):

pip install finetune

small-text (🥉22 · ⭐ 600) - Active Learning for Text Classification in Python. MIT

- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 9 · 🔀 68 · 📦 33 · 📋 65 - 26% open · ⏱️ 21.01.2025):

git clone https://github.com/webis-de/small-text

- [PyPi](https://pypi.org/project/small-text) (📥 830 / month · ⏱️ 24.11.2024):

pip install small-text

- [Conda](https://anaconda.org/conda-forge/small-text) (📥 13K · ⏱️ 05.01.2025):

conda install -c conda-forge small-text

happy-transformer (🥉22 · ⭐ 530 · 💤) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface

- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 68 · 📦 300 · 📋 130 - 16% open · ⏱️ 19.03.2024):

git clone https://github.com/EricFillion/happy-transformer

- [PyPi](https://pypi.org/project/happytransformer) (📥 2.7K / month · 📦 5 · ⏱️ 05.08.2023):

pip install happytransformer

fast-bert (🥉21 · ⭐ 1.9K) - Super easy library for BERT based NLP models. Apache-2

- [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):

git clone https://github.com/utterworks/fast-bert

- [PyPi](https://pypi.org/project/fast-bert) (📥 1.6K / month · ⏱️ 19.08.2024):

pip install fast-bert

UForm (🥉19 · ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2

- [GitHub](https://github.com/unum-cloud/uform) (👨‍💻 19 · 🔀 63 · 📥 540 · 📦 6 · 📋 32 - 31% open · ⏱️ 03.01.2025):

git clone https://github.com/unum-cloud/uform

- [PyPi](https://pypi.org/project/uform) (📥 920 / month · 📦 2 · ⏱️ 03.01.2025):

pip install uform

VizSeq (🥉16 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT

- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 4 · 🔀 61 · 📦 12 · 📋 16 - 43% open · ⏱️ 28.09.2024):

git clone https://github.com/facebookresearch/vizseq

- [PyPi](https://pypi.org/project/vizseq) (📥 220 / month · ⏱️ 07.08.2020):

pip install vizseq

Show 56 hidden projects...

- AllenNLP (🥈36 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 - ParlAI (🥈32 · ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (🥈32 · ⭐ 9.2K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (🥈30 · ⭐ 4.5K · 💀) - Data augmentation for NLP. MIT - GluonNLP (🥈29 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - langid (🥈29 · ⭐ 2.4K · 💀) - Stand-alone language identification system. BSD-3 - vaderSentiment (🥈28 · ⭐ 4.6K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (🥈28 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - Ciphey (🥉27 · ⭐ 19K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - textacy (🥉27 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed - FARM (🥉27 · ⭐ 1.7K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - pySBD (🥉27 · ⭐ 830 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - flashtext (🥉26 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT - polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - underthesea (🥉26 · ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - PyText (🥉25 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 - OpenPrompt (🥉25 · ⭐ 4.5K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (🥉25 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (🥉25 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - pytorch-nlp (🥉25 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (🥉24 · ⭐ 3.8K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (🥉24 · ⭐ 2.8K · 💀) - Toolkit for creating, sharing and using natural language.. Apache-2 - Kashgari (🥉24 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - sense2vec (🥉24 · ⭐ 1.6K · 💀) - Contextually-keyed word vectors. MIT - jiant (🥉23 · ⭐ 1.7K · 💀) - jiant is an nlp toolkit. MIT - whoosh (🥉23 · ⭐ 610 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (🥉22 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - YouTokenToMe (🥉22 · ⭐ 960 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT - stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - anaGo (🥉21 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - DeepMatcher (🥉20 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - lightseq (🥉20 · ⭐ 3.2K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - DELTA (🥉20 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - textpipe (🥉20 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (🥉20 · ⭐ 220) - A Python module to convert natural language numerics into ints and.. MIT - NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (🥉18 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (🥉18 · ⭐ 570 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (🥉18 · ⭐ 410 · 💀) - TextAugment: Text Augmentation Library. MIT - Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - OpenNRE (🥉16 · ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - skift (🥉16 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT - BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution. MIT - Translate (🥉15 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 - NeuralQA (🥉15 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - Headliner (🥉15 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - TransferNLP (🥉14 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (🥉14 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - textvec (🥉13 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (🥉12 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

Image Data¶

Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.

Pillow (🥇48 · ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL

- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 480 · 🔀 2.3K · 📦 2.1M · 📋 3.3K - 3% open · ⏱️ 19.02.2025):

git clone https://github.com/python-pillow/Pillow

- [PyPi](https://pypi.org/project/Pillow) (📥 130M / month · 📦 11K · ⏱️ 02.01.2025):

pip install Pillow

- [Conda](https://anaconda.org/conda-forge/pillow) (📥 50M · ⏱️ 03.01.2025):

conda install -c conda-forge pillow

PyTorch Image Models (🥇42 · ⭐ 33K) - The largest collection of PyTorch image encoders /.. Apache-2

- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 170 · 🔀 4.8K · 📥 7.5M · 📦 47K · 📋 960 - 5% open · ⏱️ 17.02.2025):

git clone https://github.com/rwightman/pytorch-image-models

- [PyPi](https://pypi.org/project/timm) (📥 6.5M / month · 📦 1.1K · ⏱️ 19.01.2025):

pip install timm

- [Conda](https://anaconda.org/conda-forge/timm) (📥 320K · ⏱️ 20.01.2025):

conda install -c conda-forge timm

MoviePy (🥇42 · ⭐ 13K · 📉) - Video editing with Python. MIT

- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 180 · 🔀 1.6K · 📦 55K · 📋 2K - 23% open · ⏱️ 06.02.2025):

git clone https://github.com/Zulko/moviepy

- [PyPi](https://pypi.org/project/moviepy) (📥 2.7M / month · 📦 1K · ⏱️ 10.01.2025):

pip install moviepy

- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 290K · ⏱️ 16.06.2023):

conda install -c conda-forge moviepy

torchvision (🥇41 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3

- [GitHub](https://github.com/pytorch/vision) (👨‍💻 620 · 🔀 7K · 📥 40K · 📦 21 · 📋 3.6K - 30% open · ⏱️ 20.02.2025):

git clone https://github.com/pytorch/vision

- [PyPi](https://pypi.org/project/torchvision) (📥 15M / month · 📦 6.5K · ⏱️ 29.01.2025):

pip install torchvision

- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.4M · ⏱️ 16.02.2025):

conda install -c conda-forge torchvision

Albumentations (🥇41 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT

- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 160 · 🔀 1.7K · 📦 32K · 📋 1.2K - 13% open · ⏱️ 18.02.2025):

git clone https://github.com/albumentations-team/albumentations

- [PyPi](https://pypi.org/project/albumentations) (📥 6.2M / month · 📦 650 · ⏱️ 11.02.2025):

pip install albumentations

- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 230K · ⏱️ 12.02.2025):

conda install -c conda-forge albumentations

deepface (🥇39 · ⭐ 18K · 📈) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT

- [GitHub](https://github.com/serengil/deepface) (👨‍💻 82 · 🔀 2.4K · 📦 5.6K · 📋 1.2K - 0% open · ⏱️ 19.02.2025):

git clone https://github.com/serengil/deepface

- [PyPi](https://pypi.org/project/deepface) (📥 470K / month · 📦 44 · ⏱️ 17.08.2024):

pip install deepface

Kornia (🥈37 · ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2

- [GitHub](https://github.com/kornia/kornia) (👨‍💻 280 · 🔀 980 · 📥 1.7K · 📦 14K · 📋 960 - 30% open · ⏱️ 14.02.2025):

git clone https://github.com/kornia/kornia

- [PyPi](https://pypi.org/project/kornia) (📥 1.9M / month · 📦 310 · ⏱️ 11.01.2025):

pip install kornia

- [Conda](https://anaconda.org/conda-forge/kornia) (📥 180K · ⏱️ 11.01.2025):

conda install -c conda-forge kornia

opencv-python (🥈37 · ⭐ 4.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT

- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 53 · 🔀 870 · 📦 510K · 📋 840 - 16% open · ⏱️ 16.01.2025):

git clone https://github.com/opencv/opencv-python

- [PyPi](https://pypi.org/project/opencv-python) (📥 16M / month · 📦 12K · ⏱️ 16.01.2025):

pip install opencv-python

imageio (🥈37 · ⭐ 1.6K · 📉) - Python library for reading and writing image data. BSD-2

- [GitHub](https://github.com/imageio/imageio) (👨‍💻 120 · 🔀 300 · 📥 1.5K · 📦 160K · 📋 610 - 16% open · ⏱️ 20.01.2025):

git clone https://github.com/imageio/imageio

- [PyPi](https://pypi.org/project/imageio) (📥 24M / month · 📦 2.6K · ⏱️ 20.01.2025):

pip install imageio

- [Conda](https://anaconda.org/conda-forge/imageio) (📥 7.5M · ⏱️ 30.01.2025):

conda install -c conda-forge imageio

MMDetection (🥈36 · ⭐ 30K · 💤) - OpenMMLab Detection Toolbox and Benchmark. Apache-2

- [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 480 · 🔀 9.5K · 📦 3.5K · 📋 8.6K - 21% open · ⏱️ 05.02.2024):

git clone https://github.com/open-mmlab/mmdetection

- [PyPi](https://pypi.org/project/mmdet) (📥 190K / month · 📦 82 · ⏱️ 05.01.2024):

pip install mmdet

InsightFace (🥈36 · ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT

- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 64 · 🔀 5.4K · 📥 6.6M · 📦 3.4K · 📋 2.5K - 45% open · ⏱️ 18.02.2025):

git clone https://github.com/deepinsight/insightface

- [PyPi](https://pypi.org/project/insightface) (📥 230K / month · 📦 30 · ⏱️ 17.12.2022):

pip install insightface

detectron2 (🥈34 · ⭐ 31K) - Detectron2 is a platform for object detection, segmentation.. Apache-2

- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 280 · 🔀 7.5K · 📦 2.3K · 📋 3.6K - 14% open · ⏱️ 14.01.2025):

git clone https://github.com/facebookresearch/detectron2

- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):

pip install detectron2

- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 610K · ⏱️ 06.11.2024):

conda install -c conda-forge detectron2

Wand (🥈34 · ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT

- [GitHub](https://github.com/emcconville/wand) (👨‍💻 110 · 🔀 200 · 📥 52K · 📦 20K · 📋 430 - 6% open · ⏱️ 02.02.2025):

git clone https://github.com/emcconville/wand

- [PyPi](https://pypi.org/project/wand) (📥 1M / month · 📦 260 · ⏱️ 03.11.2023):

pip install wand

- [Conda](https://anaconda.org/conda-forge/wand) (📥 100K · ⏱️ 16.06.2023):

conda install -c conda-forge wand

PaddleSeg (🥈33 · ⭐ 8.9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 130 · 🔀 1.7K · 📦 1.4K · 📋 2.2K - 0% open · ⏱️ 25.12.2024):

git clone https://github.com/PaddlePaddle/PaddleSeg

- [PyPi](https://pypi.org/project/paddleseg) (📥 2K / month · 📦 7 · ⏱️ 30.11.2022):

pip install paddleseg

ImageHash (🥈32 · ⭐ 3.5K) - A Python Perceptual Image Hashing Module. BSD-2

- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 27 · 🔀 340 · 📦 16K · 📋 150 - 15% open · ⏱️ 09.10.2024):

git clone https://github.com/JohannesBuchner/imagehash

- [PyPi](https://pypi.org/project/ImageHash) (📥 1.5M / month · 📦 270 · ⏱️ 01.02.2025):

pip install ImageHash

- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 430K · ⏱️ 03.02.2025):

conda install -c conda-forge imagehash

lightly (🥈32 · ⭐ 3.3K) - A python library for self-supervised learning on images. MIT

- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 64 · 🔀 290 · 📦 390 · 📋 600 - 13% open · ⏱️ 19.02.2025):

git clone https://github.com/lightly-ai/lightly

- [PyPi](https://pypi.org/project/lightly) (📥 40K / month · 📦 20 · ⏱️ 18.02.2025):

pip install lightly

vit-pytorch (🥈31 · ⭐ 22K) - Implementation of Vision Transformer, a simple way to achieve.. MIT

- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 23 · 🔀 3.2K · 📦 600 · 📋 280 - 49% open · ⏱️ 19.01.2025):

git clone https://github.com/lucidrains/vit-pytorch

- [PyPi](https://pypi.org/project/vit-pytorch) (📥 22K / month · 📦 17 · ⏱️ 19.01.2025):

pip install vit-pytorch

PaddleDetection (🥈30 · ⭐ 13K · 📈) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 180 · 🔀 2.9K · 📋 5.5K - 22% open · ⏱️ 13.02.2025):

git clone https://github.com/PaddlePaddle/PaddleDetection

- [PyPi](https://pypi.org/project/paddledet) (📥 1.1K / month · 📦 2 · ⏱️ 19.09.2022):

pip install paddledet

imageai (🥈30 · ⭐ 8.7K · 💤) - A python library built to empower developers to build applications.. MIT

- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 19 · 🔀 2.2K · 📥 960K · 📦 1.7K · 📋 760 - 41% open · ⏱️ 20.02.2024):

git clone https://github.com/OlafenwaMoses/ImageAI

- [PyPi](https://pypi.org/project/imageai) (📥 10K / month · 📦 19 · ⏱️ 02.01.2023):

pip install imageai

- [Conda](https://anaconda.org/conda-forge/imageai) (📥 8.8K · ⏱️ 16.06.2023):

conda install -c conda-forge imageai

CellProfiler (🥈30 · ⭐ 960) - An open-source application for biological image analysis. BSD-3

- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 140 · 🔀 390 · 📥 8.4K · 📦 27 · 📋 3.3K - 9% open · ⏱️ 10.02.2025):

git clone https://github.com/CellProfiler/CellProfiler

- [PyPi](https://pypi.org/project/cellprofiler) (📥 1.1K / month · 📦 2 · ⏱️ 16.09.2024):

pip install cellprofiler

sahi (🥉29 · ⭐ 4.3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT

- [GitHub](https://github.com/obss/sahi) (👨‍💻 48 · 🔀 610 · 📥 32K · 📦 1.6K · ⏱️ 18.12.2024):

git clone https://github.com/obss/sahi

- [PyPi](https://pypi.org/project/sahi) (📥 160K / month · 📦 31 · ⏱️ 16.12.2024):

pip install sahi

- [Conda](https://anaconda.org/conda-forge/sahi) (📥 90K · ⏱️ 18.12.2024):

conda install -c conda-forge sahi

doctr (🥉29 · ⭐ 4.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2

- [GitHub](https://github.com/mindee/doctr) (👨‍💻 56 · 🔀 470 · 📥 4.9M · 📋 390 - 6% open · ⏱️ 03.02.2025):

git clone https://github.com/mindee/doctr

- [PyPi](https://pypi.org/project/python-doctr) (📥 78K / month · 📦 14 · ⏱️ 30.01.2025):

pip install python-doctr

Face Alignment (🥉28 · ⭐ 7.2K) - 2D and 3D Face alignment library build using pytorch. BSD-3

- [GitHub](https://github.com/1adrianb/face-alignment) (👨‍💻 26 · 🔀 1.4K · 📦 21 · 📋 320 - 24% open · ⏱️ 30.08.2024):

git clone https://github.com/1adrianb/face-alignment

- [PyPi](https://pypi.org/project/face-alignment) (📥 65K / month · 📦 10 · ⏱️ 17.08.2023):

pip install face-alignment

mtcnn (🥉28 · ⭐ 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT

- [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 16 · 🔀 530 · 📥 32 · 📦 7.3K · 📋 130 - 37% open · ⏱️ 08.10.2024):

git clone https://github.com/ipazc/mtcnn

- [PyPi](https://pypi.org/project/mtcnn) (📥 140K / month · 📦 73 · ⏱️ 08.10.2024):

pip install mtcnn

- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 14K · ⏱️ 16.06.2023):

conda install -c conda-forge mtcnn

facenet-pytorch (🥉27 · ⭐ 4.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT

- [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 18 · 🔀 940 · 📥 1.6M · 📦 2.8K · 📋 190 - 41% open · ⏱️ 02.08.2024):

git clone https://github.com/timesler/facenet-pytorch

- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 97K / month · 📦 51 · ⏱️ 29.04.2024):

pip install facenet-pytorch

vidgear (🥉27 · ⭐ 3.5K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2

- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 14 · 🔀 260 · 📥 2.2K · 📦 680 · 📋 300 - 2% open · ⏱️ 22.06.2024):

git clone https://github.com/abhiTronix/vidgear

- [PyPi](https://pypi.org/project/vidgear) (📥 21K / month · 📦 15 · ⏱️ 22.06.2024):

pip install vidgear

mahotas (🥉27 · ⭐ 860 · 💤) - Computer Vision in Python. MIT

- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 35 · 🔀 150 · 📦 1.4K · 📋 91 - 23% open · ⏱️ 17.07.2024):

git clone https://github.com/luispedro/mahotas

- [PyPi](https://pypi.org/project/mahotas) (📥 19K / month · 📦 63 · ⏱️ 17.07.2024):

pip install mahotas

- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 600K · ⏱️ 18.07.2024):

conda install -c conda-forge mahotas

Norfair (🥉26 · ⭐ 2.4K · 💤) - Lightweight Python library for adding real-time multi-object.. BSD-3

- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 31 · 🔀 250 · 📥 340 · 📦 270 · 📋 170 - 14% open · ⏱️ 27.07.2024):

git clone https://github.com/tryolabs/norfair

- [PyPi](https://pypi.org/project/norfair) (📥 24K / month · 📦 9 · ⏱️ 30.05.2022):

pip install norfair

Image Deduplicator (🥉25 · ⭐ 5.3K) - Finding duplicate images made easy!. Apache-2

- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 16 · 🔀 460 · 📦 170 · 📋 130 - 31% open · ⏱️ 19.12.2024):

git clone https://github.com/idealo/imagededup

- [PyPi](https://pypi.org/project/imagededup) (📥 13K / month · 📦 5 · ⏱️ 28.04.2023):

pip install imagededup

pytorchvideo (🥉25 · ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2

- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):

git clone https://github.com/facebookresearch/pytorchvideo

- [PyPi](https://pypi.org/project/pytorchvideo) (📥 44K / month · 📦 24 · ⏱️ 20.01.2022):

pip install pytorchvideo

tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2

- [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):

git clone https://github.com/tensorflow/graphics

- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 90K / month · 📦 11 · ⏱️ 03.12.2021):

pip install tensorflow-graphics

kubric (🥉25 · ⭐ 2.4K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2

- [GitHub](https://github.com/google-research/kubric) (👨‍💻 31 · 🔀 230 · 📦 7 · 📋 190 - 33% open · ⏱️ 29.11.2024):

git clone https://github.com/google-research/kubric

- [PyPi](https://pypi.org/project/kubric-nightly) (📥 8.2K / month · ⏱️ 27.12.2023):

pip install kubric-nightly

pyvips (🥉25 · ⭐ 680) - python binding for libvips using cffi. MIT

- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 16 · 🔀 50 · 📦 950 · 📋 450 - 42% open · ⏱️ 29.10.2024):

git clone https://github.com/libvips/pyvips

- [PyPi](https://pypi.org/project/pyvips) (📥 68K / month · 📦 77 · ⏱️ 28.04.2024):

pip install pyvips

- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 200K · ⏱️ 06.09.2024):

conda install -c conda-forge pyvips

MMF (🥉24 · ⭐ 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3

- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 920 · 📦 21 · 📋 690 - 21% open · ⏱️ 03.02.2025):

git clone https://github.com/facebookresearch/mmf

- [PyPi](https://pypi.org/project/mmf) (📥 500 / month · 📦 1 · ⏱️ 12.06.2020):

pip install mmf

segmentation_models (🥉24 · ⭐ 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT

- [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):

git clone https://github.com/qubvel/segmentation_models

- [PyPi](https://pypi.org/project/segmentation_models) (📥 33K / month · 📦 28 · ⏱️ 10.01.2020):

pip install segmentation_models

vissl (🥉23 · ⭐ 3.3K · 💤) - VISSL is FAIRs library of extensible, modular and scalable.. MIT

- [GitHub](https://github.com/facebookresearch/vissl) (👨‍💻 38 · 🔀 330 · 📦 59 · 📋 190 - 43% open · ⏱️ 03.03.2024):

git clone https://github.com/facebookresearch/vissl

- [PyPi](https://pypi.org/project/vissl) (📥 200 / month · 📦 1 · ⏱️ 02.11.2021):

pip install vissl

ffcv (🥉23 · ⭐ 2.9K · 💤) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2

- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 31 · 🔀 180 · 📦 61 · 📋 290 - 38% open · ⏱️ 06.05.2024):

git clone https://github.com/libffcv/ffcv

- [PyPi](https://pypi.org/project/ffcv) (📥 860 / month · 📦 1 · ⏱️ 28.01.2022):

pip install ffcv

icevision (🥉22 · ⭐ 860) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2

- [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):

git clone https://github.com/airctic/icevision

- [PyPi](https://pypi.org/project/icevision) (📥 3.1K / month · 📦 6 · ⏱️ 10.02.2022):

pip install icevision

DE⫶TR (🥉21 · ⭐ 14K · 💤) - End-to-End Object Detection with Transformers. Apache-2

- [GitHub](https://github.com/facebookresearch/detr) (👨‍💻 27 · 🔀 2.4K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):

git clone https://github.com/facebookresearch/detr

Image Super-Resolution (🥉21 · ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2

- [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 11 · 🔀 750 · 📋 220 - 48% open · ⏱️ 18.12.2024):

git clone https://github.com/idealo/image-super-resolution

- [PyPi](https://pypi.org/project/ISR) (📥 6.2K / month · 📦 5 · ⏱️ 08.01.2020):

pip install ISR

- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 270 · ⭐ 1 · ⏱️ 01.04.2019):

docker pull idealo/image-super-resolution-gpu

PySlowFast (🥉20 · ⭐ 6.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2

- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 34 · 🔀 1.2K · 📦 23 · 📋 700 - 58% open · ⏱️ 26.11.2024):

git clone https://github.com/facebookresearch/SlowFast

- [PyPi](https://pypi.org/project/pyslowfast) (📥 56 / month · ⏱️ 15.01.2020):

pip install pyslowfast

scenic (🥉18 · ⭐ 3.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2

- [GitHub](https://github.com/google-research/scenic) (👨‍💻 91 · 🔀 440 · 📋 270 - 55% open · ⏱️ 31.01.2025):

git clone https://github.com/google-research/scenic

Show 22 hidden projects...

- scikit-image (🥇42 · ⭐ 6.2K) - Image processing in Python. ❗Unlicensed - glfw (🥈37 · ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (🥈36 · ⭐ 15K · 💀) - Image augmentation for machine learning experiments. MIT - Face Recognition (🥈35 · ⭐ 54K · 💀) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (🥈34 · ⭐ 9K) - PyTorch3D is FAIRs library of reusable components for deep.. ❗Unlicensed - imutils (🥈32 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT - GluonCV (🥉28 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 - layout-parser (🥉28 · ⭐ 5.1K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Augmentor (🥉26 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT - Pillow-SIMD (🥉25 · ⭐ 2.2K) - The friendly PIL fork. ❗️PIL - Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using.. MIT - Classy Vision (🥉22 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT - image-match (🥉21 · ⭐ 3K · 💀) - Quickly search over billions of images. Apache-2 - detecto (🥉21 · ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT - nude.py (🥉20 · ⭐ 930 · 💀) - Nudity detection with Python. MIT - solt (🥉18 · ⭐ 260) - Streaming over lightweight data transformations. MIT - pycls (🥉17 · ⭐ 2.1K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (🥉17 · ⭐ 780 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (🥉17 · ⭐ 230 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (🥉15 · ⭐ 190 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface

Graph Data¶

Libraries for graph processing, clustering, embedding, and machine learning tasks.

networkx (🥇45 · ⭐ 15K) - Network Analysis in Python. BSD-3

- [GitHub](https://github.com/networkx/networkx) (👨‍💻 760 · 🔀 3.3K · 📥 79 · 📦 350K · 📋 3.4K - 10% open · ⏱️ 19.02.2025):

git clone https://github.com/networkx/networkx

- [PyPi](https://pypi.org/project/networkx) (📥 69M / month · 📦 9.6K · ⏱️ 21.10.2024):

pip install networkx

- [Conda](https://anaconda.org/conda-forge/networkx) (📥 20M · ⏱️ 25.12.2024):

conda install -c conda-forge networkx

PyTorch Geometric (🥇41 · ⭐ 22K · 📈) - Graph Neural Network Library for PyTorch. MIT

- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 540 · 🔀 3.8K · 📦 7.9K · 📋 3.8K - 29% open · ⏱️ 20.02.2025):

git clone https://github.com/pyg-team/pytorch_geometric

- [PyPi](https://pypi.org/project/torch-geometric) (📥 540K / month · 📦 360 · ⏱️ 26.09.2024):

pip install torch-geometric

- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 140K · ⏱️ 19.12.2024):

conda install -c conda-forge pytorch_geometric

dgl (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2

- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 300 · 🔀 3K · 📦 340 · 📋 2.9K - 18% open · ⏱️ 11.02.2025):

git clone https://github.com/dmlc/dgl

- [PyPi](https://pypi.org/project/dgl) (📥 97K / month · 📦 150 · ⏱️ 13.05.2024):

pip install dgl

pygraphistry (🥈31 · ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3

- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 45 · 🔀 210 · 📦 140 · 📋 360 - 53% open · ⏱️ 06.02.2025):

git clone https://github.com/graphistry/pygraphistry

- [PyPi](https://pypi.org/project/graphistry) (📥 18K / month · 📦 6 · ⏱️ 06.02.2025):

pip install graphistry

PyKEEN (🥈31 · ⭐ 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT

- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 42 · 🔀 190 · 📥 230 · 📦 290 · 📋 580 - 19% open · ⏱️ 20.02.2025):

git clone https://github.com/pykeen/pykeen

- [PyPi](https://pypi.org/project/pykeen) (📥 13K / month · 📦 19 · ⏱️ 29.10.2024):

pip install pykeen

ogb (🥈28 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT

- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 2.3K · 📋 300 - 9% open · ⏱️ 09.12.2024):

git clone https://github.com/snap-stanford/ogb

- [PyPi](https://pypi.org/project/ogb) (📥 33K / month · 📦 22 · ⏱️ 02.11.2022):

pip install ogb

- [Conda](https://anaconda.org/conda-forge/ogb) (📥 47K · ⏱️ 22.12.2024):

conda install -c conda-forge ogb

pytorch_geometric_temporal (🥈26 · ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT

- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 36 · 🔀 380 · 📋 200 - 20% open · ⏱️ 09.02.2025):

git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal

- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 2.8K / month · 📦 7 · ⏱️ 04.09.2022):

pip install torch-geometric-temporal

AmpliGraph (🥈26 · ⭐ 2.2K · 💤) - Python library for Representation Learning on Knowledge.. Apache-2

- [GitHub](https://github.com/Accenture/AmpliGraph) (👨‍💻 21 · 🔀 250 · 📦 63 · 📋 230 - 13% open · ⏱️ 28.02.2024):

git clone https://github.com/Accenture/AmpliGraph

- [PyPi](https://pypi.org/project/ampligraph) (📥 1.6K / month · 📦 2 · ⏱️ 26.02.2024):

pip install ampligraph

PyTorch-BigGraph (🥈23 · ⭐ 3.4K · 💤) - Generate embeddings from large-scale graph-structured.. BSD-3

- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 32 · 🔀 450 · 📥 220 · 📋 200 - 32% open · ⏱️ 03.03.2024):

git clone https://github.com/facebookresearch/PyTorch-BigGraph

- [PyPi](https://pypi.org/project/torchbiggraph) (📥 290K / month · 📦 2 · ⏱️ 14.10.2019):

pip install torchbiggraph

Node2Vec (🥈23 · ⭐ 1.3K) - Implementation of the node2vec algorithm. MIT

- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 16 · 🔀 250 · 📦 810 · 📋 93 - 5% open · ⏱️ 02.08.2024):

git clone https://github.com/eliorc/node2vec

- [PyPi](https://pypi.org/project/node2vec) (📥 23K / month · 📦 31 · ⏱️ 02.08.2024):

pip install node2vec

- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 34K · ⏱️ 16.06.2023):

conda install -c conda-forge node2vec

torch-cluster (🥈23 · ⭐ 850) - PyTorch Extension Library of Optimized Graph Cluster.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 38 · 🔀 150 · 📋 180 - 17% open · ⏱️ 10.01.2025):

git clone https://github.com/rusty1s/pytorch_cluster

- [PyPi](https://pypi.org/project/torch-cluster) (📥 17K / month · 📦 62 · ⏱️ 12.10.2023):

pip install torch-cluster

- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 320K · ⏱️ 12.02.2025):

conda install -c conda-forge pytorch_cluster

AutoGL (🥉15 · ⭐ 1.1K · 💤) - An autoML framework & toolkit for machine learning on graphs. Apache-2

- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 16 · 🔀 120 · 📋 39 - 35% open · ⏱️ 05.02.2024):

git clone https://github.com/THUMNLab/AutoGL

- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020):

pip install auto-graph-learning

GraphVite (🥉14 · ⭐ 1.2K · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

- [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨‍💻 1 · 🔀 150 · 📋 110 - 46% open · ⏱️ 14.06.2024):

git clone https://github.com/DeepGraphLearning/graphvite

- [Conda](https://anaconda.org/milagraph/graphvite) (📥 5K · ⏱️ 16.06.2023):

conda install -c milagraph graphvite

Show 23 hidden projects...

- igraph (🥇33 · ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 - Spektral (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. MIT - StellarGraph (🥈27 · ⭐ 3K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (🥈27 · ⭐ 2.7K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - Karate Club (🥈23 · ⭐ 2.2K · 💤) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - jraph (🥈23 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - graph4nlp (🥉22 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - graph-nets (🥉21 · ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow. Apache-2 - pyRDF2Vec (🥉21 · ⭐ 250 · 💀) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (🥉20 · ⭐ 1.9K · 💤) - A library for graph deep learning research. ❗️GPL-3.0 - deepsnap (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. MIT - GraphGym (🥉18 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - Sematch (🥉18 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - DeepGraph (🥉18 · ⭐ 290 · 💤) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - kglib (🥉17 · ⭐ 550 · 💀) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - Euler (🥉16 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 - ptgnn (🥉15 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library. MIT - GraphEmbedding (🥉14 · ⭐ 3.8K · 💀) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (🥉14 · ⭐ 3.5K · 💀) - Representation learning on large graphs using stochastic.. MIT - OpenNE (🥉14 · ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). MIT - OpenKE (🥉13 · ⭐ 3.9K · 💀) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

Audio Data¶

Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.

speechbrain (🥇40 · ⭐ 9.4K) - A PyTorch-based Speech Toolkit. Apache-2

- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 260 · 🔀 1.4K · 📦 2.9K · 📋 1.2K - 12% open · ⏱️ 13.02.2025):

git clone https://github.com/speechbrain/speechbrain

- [PyPi](https://pypi.org/project/speechbrain) (📥 3.9M / month · 📦 67 · ⏱️ 30.10.2024):

pip install speechbrain

espnet (🥇38 · ⭐ 8.8K) - End-to-End Speech Processing Toolkit. Apache-2

- [GitHub](https://github.com/espnet/espnet) (👨‍💻 490 · 🔀 2.2K · 📥 84 · 📦 420 · 📋 2.5K - 14% open · ⏱️ 05.02.2025):

git clone https://github.com/espnet/espnet

- [PyPi](https://pypi.org/project/espnet) (📥 20K / month · 📦 12 · ⏱️ 04.12.2024):

pip install espnet

SpeechRecognition (🥇36 · ⭐ 8.6K) - Speech recognition module for Python, supporting several.. BSD-3

- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 53 · 🔀 2.4K · 📦 21 · 📋 660 - 48% open · ⏱️ 30.01.2025):

git clone https://github.com/Uberi/speech_recognition

- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.4M / month · 📦 650 · ⏱️ 25.01.2025):

pip install SpeechRecognition

- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 230K · ⏱️ 25.01.2025):

conda install -c conda-forge speechrecognition

Coqui TTS (🥈35 · ⭐ 38K · 💤) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0

- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 170 · 🔀 4.5K · 📥 4.5M · 📦 2.3K · 📋 1.2K - 7% open · ⏱️ 10.02.2024):

git clone https://github.com/coqui-ai/TTS

- [PyPi](https://pypi.org/project/tts) (📥 180K / month · 📦 53 · ⏱️ 12.12.2023):

pip install tts

- [Conda](https://anaconda.org/conda-forge/tts) (📥 23K · ⏱️ 16.06.2023):

conda install -c conda-forge tts

torchaudio (🥈35 · ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2

- [GitHub](https://github.com/pytorch/audio) (👨‍💻 230 · 🔀 680 · 📋 1K - 27% open · ⏱️ 18.02.2025):

git clone https://github.com/pytorch/audio

- [PyPi](https://pypi.org/project/torchaudio) (📥 7.7M / month · 📦 1.6K · ⏱️ 29.01.2025):

pip install torchaudio

spleeter (🥈33 · ⭐ 26K) - Deezer source separation library including pretrained models. MIT

- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 22 · 🔀 2.9K · 📥 3.8M · 📦 900 · 📋 800 - 29% open · ⏱️ 24.01.2025):

git clone https://github.com/deezer/spleeter

- [PyPi](https://pypi.org/project/spleeter) (📥 24K / month · 📦 12 · ⏱️ 10.06.2022):

pip install spleeter

- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 100K · ⏱️ 16.06.2023):

conda install -c conda-forge spleeter

librosa (🥈33 · ⭐ 7.4K) - Python library for audio and music analysis. ISC

- [GitHub](https://github.com/librosa/librosa) (👨‍💻 120 · 🔀 970 · 📋 1.2K - 4% open · ⏱️ 20.02.2025):

git clone https://github.com/librosa/librosa

- [PyPi](https://pypi.org/project/librosa) (📥 2.8M / month · 📦 1.6K · ⏱️ 11.02.2025):

pip install librosa

- [Conda](https://anaconda.org/conda-forge/librosa) (📥 860K · ⏱️ 19.12.2024):

conda install -c conda-forge librosa

Magenta (🥈32 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2

- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 560 · 📋 1K - 41% open · ⏱️ 17.01.2025):

git clone https://github.com/magenta/magenta

- [PyPi](https://pypi.org/project/magenta) (📥 11K / month · 📦 5 · ⏱️ 01.08.2022):

pip install magenta

python-soundfile (🥈32 · ⭐ 740) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3

- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 37 · 🔀 110 · 📥 21K · 📦 53K · 📋 260 - 46% open · ⏱️ 25.01.2025):

git clone https://github.com/bastibe/python-soundfile

- [PyPi](https://pypi.org/project/soundfile) (📥 4.9M / month · 📦 1.1K · ⏱️ 25.01.2025):

pip install soundfile

- [Conda](https://anaconda.org/anaconda/pysoundfile):

conda install -c anaconda pysoundfile

Porcupine (🥈30 · ⭐ 3.9K) - On-device wake word detection powered by deep learning. Apache-2

- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 42 · 🔀 510 · 📦 40 · 📋 570 - 0% open · ⏱️ 15.02.2025):

git clone https://github.com/Picovoice/Porcupine

- [PyPi](https://pypi.org/project/pvporcupine) (📥 19K / month · 📦 38 · ⏱️ 05.02.2025):

pip install pvporcupine

audiomentations (🥉29 · ⭐ 2K) - A Python library for audio data augmentation. Inspired by.. MIT

- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 31 · 🔀 190 · 📦 680 · 📋 190 - 25% open · ⏱️ 18.02.2025):

git clone https://github.com/iver56/audiomentations

- [PyPi](https://pypi.org/project/audiomentations) (📥 55K / month · 📦 25 · ⏱️ 12.02.2025):

pip install audiomentations

Madmom (🥉27 · ⭐ 1.4K) - Python audio and music signal processing library. BSD-3

- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 24 · 🔀 210 · 📦 470 · 📋 280 - 24% open · ⏱️ 25.08.2024):

git clone https://github.com/CPJKU/madmom

- [PyPi](https://pypi.org/project/madmom) (📥 2.9K / month · 📦 27 · ⏱️ 14.11.2018):

pip install madmom

tinytag (🥉27 · ⭐ 730) - Python library for reading audio file metadata. MIT

- [GitHub](https://github.com/tinytag/tinytag) (👨‍💻 27 · 🔀 100 · 📦 1.1K · 📋 120 - 3% open · ⏱️ 26.01.2025):

git clone https://github.com/devsnd/tinytag

- [PyPi](https://pypi.org/project/tinytag) (📥 49K / month · 📦 110 · ⏱️ 03.11.2024):

pip install tinytag

DDSP (🥉24 · ⭐ 3K) - DDSP: Differentiable Digital Signal Processing. Apache-2

- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 32 · 🔀 340 · 📦 62 · 📋 170 - 28% open · ⏱️ 23.09.2024):

git clone https://github.com/magenta/ddsp

- [PyPi](https://pypi.org/project/ddsp) (📥 3.5K / month · 📦 1 · ⏱️ 25.05.2022):

pip install ddsp

- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 21K · ⏱️ 16.06.2023):

conda install -c conda-forge ddsp

Julius (🥉23 · ⭐ 440 · 📈) - Fast PyTorch based DSP for audio and 1D signals. MIT

- [GitHub](https://github.com/adefossez/julius) (👨‍💻 3 · 🔀 25 · 📦 2.4K · 📋 11 - 18% open · ⏱️ 17.02.2025):

git clone https://github.com/adefossez/julius

- [PyPi](https://pypi.org/project/julius) (📥 300K / month · 📦 44 · ⏱️ 20.09.2022):

pip install julius

nnAudio (🥉22 · ⭐ 1.1K · 💤) - Audio processing by using pytorch 1D convolution network. MIT

- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 15 · 🔀 91 · 📦 300 · 📋 63 - 28% open · ⏱️ 13.02.2024):

git clone https://github.com/KinWaiCheuk/nnAudio

- [PyPi](https://pypi.org/project/nnAudio) (📥 36K / month · 📦 4 · ⏱️ 13.02.2024):

pip install nnAudio

Show 13 hidden projects...

- Pydub (🥇36 · ⭐ 9.2K · 💀) - Manipulate audio with a simple and easy high level interface. MIT - DeepSpeech (🥈33 · ⭐ 26K · 💀) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - audioread (🥉29 · ⭐ 500 · 💀) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - pyAudioAnalysis (🥉28 · ⭐ 6K · 💀) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - Essentia (🥉28 · ⭐ 3K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (🥉27 · ⭐ 3.4K · 💀) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (🥉26 · ⭐ 9.6K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (🥉26 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT - Dejavu (🥉23 · ⭐ 6.5K · 💀) - Audio fingerprinting and recognition in Python. MIT - kapre (🥉22 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors. MIT - TimeSide (🥉21 · ⭐ 380) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 - Muda (🥉18 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC - textlesslib (🥉10 · ⭐ 530 · 💀) - Library for Textless Spoken Language Processing. MIT

Geospatial Data¶

Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.

pydeck (🥇43 · ⭐ 12K) - WebGL2 powered visualization framework. MIT

- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 280 · 🔀 2.1K · 📦 8.7K · 📋 3.1K - 11% open · ⏱️ 20.02.2025):

git clone https://github.com/visgl/deck.gl

- [PyPi](https://pypi.org/project/pydeck) (📥 6.4M / month · 📦 120 · ⏱️ 10.05.2024):

pip install pydeck

- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 700K · ⏱️ 31.01.2025):

conda install -c conda-forge pydeck

- [npm](https://www.npmjs.com/package/deck.gl) (📥 540K / month · 📦 320 · ⏱️ 17.02.2025):

npm install deck.gl

Shapely (🥇40 · ⭐ 4K) - Manipulation and analysis of geometric objects. BSD-3

- [GitHub](https://github.com/shapely/shapely) (👨‍💻 170 · 🔀 570 · 📥 3.8K · 📦 95K · 📋 1.3K - 22% open · ⏱️ 20.02.2025):

git clone https://github.com/shapely/shapely

- [PyPi](https://pypi.org/project/shapely) (📥 40M / month · 📦 3.6K · ⏱️ 31.01.2025):

pip install shapely

- [Conda](https://anaconda.org/conda-forge/shapely) (📥 11M · ⏱️ 31.01.2025):

conda install -c conda-forge shapely

folium (🥇39 · ⭐ 7K) - Python Data. Leaflet.js Maps. MIT

- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 170 · 🔀 2.2K · 📦 52K · 📋 1.1K - 7% open · ⏱️ 03.02.2025):

git clone https://github.com/python-visualization/folium

- [PyPi](https://pypi.org/project/folium) (📥 1.7M / month · 📦 820 · ⏱️ 06.01.2025):

pip install folium

- [Conda](https://anaconda.org/conda-forge/folium) (📥 3.5M · ⏱️ 07.01.2025):

conda install -c conda-forge folium

GeoPandas (🥈38 · ⭐ 4.6K) - Python tools for geographic data. BSD-3

- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 240 · 🔀 940 · 📥 2.9K · 📦 49K · 📋 1.7K - 25% open · ⏱️ 18.02.2025):

git clone https://github.com/geopandas/geopandas

- [PyPi](https://pypi.org/project/geopandas) (📥 6.4M / month · 📦 2.8K · ⏱️ 02.07.2024):

pip install geopandas

- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.4M · ⏱️ 16.12.2024):

conda install -c conda-forge geopandas

Rasterio (🥈36 · ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3

- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 160 · 🔀 540 · 📥 1K · 📦 15K · 📋 1.9K - 7% open · ⏱️ 17.01.2025):

git clone https://github.com/rasterio/rasterio

- [PyPi](https://pypi.org/project/rasterio) (📥 2.3M / month · 📦 1.5K · ⏱️ 02.12.2024):

pip install rasterio

- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.3M · ⏱️ 02.12.2024):

conda install -c conda-forge rasterio

pyproj (🥈36 · ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT

- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 69 · 🔀 220 · 📦 39K · 📋 630 - 5% open · ⏱️ 17.02.2025):

git clone https://github.com/pyproj4/pyproj

- [PyPi](https://pypi.org/project/pyproj) (📥 8.8M / month · 📦 1.9K · ⏱️ 16.02.2025):

pip install pyproj

- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 9.7M · ⏱️ 16.02.2025):

conda install -c conda-forge pyproj

ArcGIS API (🥈35 · ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2

- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 96 · 🔀 1.1K · 📥 14K · 📦 900 · 📋 820 - 7% open · ⏱️ 19.02.2025):

git clone https://github.com/Esri/arcgis-python-api

- [PyPi](https://pypi.org/project/arcgis) (📥 81K / month · 📦 40 · ⏱️ 01.10.2024):

pip install arcgis

- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):

docker pull esridocker/arcgis-api-python-notebook

Fiona (🥈35 · ⭐ 1.2K · 📉) - Fiona reads and writes geographic data files. BSD-3

- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 77 · 🔀 210 · 📦 25K · 📋 810 - 4% open · ⏱️ 07.01.2025):

git clone https://github.com/Toblerity/Fiona

- [PyPi](https://pypi.org/project/fiona) (📥 4.3M / month · 📦 380 · ⏱️ 16.09.2024):

pip install fiona

- [Conda](https://anaconda.org/conda-forge/fiona) (📥 6.6M · ⏱️ 06.12.2024):

conda install -c conda-forge fiona

ipyleaflet (🥉31 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT

- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 92 · 🔀 360 · 📦 14K · 📋 660 - 45% open · ⏱️ 05.12.2024):

git clone https://github.com/jupyter-widgets/ipyleaflet

- [PyPi](https://pypi.org/project/ipyleaflet) (📥 170K / month · 📦 280 · ⏱️ 22.07.2024):

pip install ipyleaflet

- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.4M · ⏱️ 16.12.2024):

conda install -c conda-forge ipyleaflet

- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 5.7K / month · 📦 9 · ⏱️ 22.07.2024):

npm install jupyter-leaflet

PySAL (🥉31 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3

- [GitHub](https://github.com/pysal/pysal) (👨‍💻 79 · 🔀 300 · 📦 1.7K · 📋 660 - 2% open · ⏱️ 06.02.2025):

git clone https://github.com/pysal/pysal

- [PyPi](https://pypi.org/project/pysal) (📥 32K / month · 📦 59 · ⏱️ 06.02.2025):

pip install pysal

- [Conda](https://anaconda.org/conda-forge/pysal) (📥 600K · ⏱️ 06.02.2025):

conda install -c conda-forge pysal

geojson (🥉30 · ⭐ 940) - Python bindings and utilities for GeoJSON. BSD-3

- [GitHub](https://github.com/jazzband/geojson) (👨‍💻 58 · 🔀 120 · 📦 19K · 📋 100 - 23% open · ⏱️ 21.12.2024):

git clone https://github.com/jazzband/geojson

- [PyPi](https://pypi.org/project/geojson) (📥 2.6M / month · 📦 720 · ⏱️ 21.12.2024):

pip install geojson

- [Conda](https://anaconda.org/conda-forge/geojson) (📥 920K · ⏱️ 22.12.2024):

conda install -c conda-forge geojson

GeoViews (🥉29 · ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3

- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 33 · 🔀 77 · 📦 1.2K · 📋 350 - 30% open · ⏱️ 13.02.2025):

git clone https://github.com/holoviz/geoviews

- [PyPi](https://pypi.org/project/geoviews) (📥 16K / month · 📦 63 · ⏱️ 17.12.2024):

pip install geoviews

- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 280K · ⏱️ 18.12.2024):

conda install -c conda-forge geoviews

pymap3d (🥉25 · ⭐ 400) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2

- [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 19 · 🔀 87 · 📦 480 · 📋 60 - 15% open · ⏱️ 08.01.2025):

git clone https://github.com/geospace-code/pymap3d

- [PyPi](https://pypi.org/project/pymap3d) (📥 280K / month · 📦 44 · ⏱️ 11.02.2024):

pip install pymap3d

- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 93K · ⏱️ 25.12.2024):

conda install -c conda-forge pymap3d

Mapbox GL (🥉24 · ⭐ 670) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT

- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨‍💻 23 · 🔀 140 · 📦 240 · 📋 110 - 38% open · ⏱️ 06.02.2025):

git clone https://github.com/mapbox/mapboxgl-jupyter

- [PyPi](https://pypi.org/project/mapboxgl) (📥 10K / month · 📦 12 · ⏱️ 02.06.2019):

pip install mapboxgl

Show 8 hidden projects...

- geopy (🥈33 · ⭐ 4.6K · 💀) - Geocoding library for Python. MIT - Geocoder (🥈33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT - Satpy (🥉32 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (🥉27 · ⭐ 990 · 💤) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (🥉26 · ⭐ 520 · 💀) - A package built to support working with spatial data using open.. BSD-3 - prettymaps (🥉24 · ⭐ 12K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - gmaps (🥉22 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (🥉20 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT

Financial Data¶

Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.

yfinance (🥇42 · ⭐ 16K) - Download market data from Yahoo! Finances API. Apache-2

- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 130 · 🔀 2.5K · 📦 62K · 📋 1.5K - 9% open · ⏱️ 18.02.2025):

git clone https://github.com/ranaroussi/yfinance

- [PyPi](https://pypi.org/project/yfinance) (📥 4.5M / month · 📦 850 · ⏱️ 18.02.2025):

pip install yfinance

- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 16.06.2023):

conda install -c ranaroussi yfinance

Qlib (🥇31 · ⭐ 17K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT

- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 140 · 🔀 2.7K · 📥 780 · 📦 21 · 📋 950 - 26% open · ⏱️ 09.01.2025):

git clone https://github.com/microsoft/qlib

- [PyPi](https://pypi.org/project/pyqlib) (📥 5.4K / month · 📦 1 · ⏱️ 23.12.2024):

pip install pyqlib

bt (🥇31 · ⭐ 2.4K) - bt - flexible backtesting for Python. MIT

- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 34 · 🔀 440 · 📦 1.6K · 📋 350 - 23% open · ⏱️ 12.02.2025):

git clone https://github.com/pmorissette/bt

- [PyPi](https://pypi.org/project/bt) (📥 7.1K / month · 📦 13 · ⏱️ 12.02.2025):

pip install bt

- [Conda](https://anaconda.org/conda-forge/bt) (📥 73K · ⏱️ 21.09.2024):

conda install -c conda-forge bt

ffn (🥈29 · ⭐ 2.2K) - ffn - a financial function library for Python. MIT

- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 36 · 🔀 310 · 📦 520 · 📋 130 - 16% open · ⏱️ 12.02.2025):

git clone https://github.com/pmorissette/ffn

- [PyPi](https://pypi.org/project/ffn) (📥 16K / month · 📦 22 · ⏱️ 11.02.2025):

pip install ffn

- [Conda](https://anaconda.org/conda-forge/ffn) (📥 16K · ⏱️ 12.02.2025):

conda install -c conda-forge ffn

IB-insync (🥈27 · ⭐ 2.9K · 💤) - Python sync/async framework for Interactive Brokers API. BSD-2

- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 36 · 🔀 800 · 📋 590 - 3% open · ⏱️ 14.03.2024):

git clone https://github.com/erdewit/ib_insync

- [PyPi](https://pypi.org/project/ib_insync) (📥 43K / month · 📦 44 · ⏱️ 21.11.2022):

pip install ib_insync

- [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 54K · ⏱️ 16.06.2023):

conda install -c conda-forge ib-insync

stockstats (🥈27 · ⭐ 1.3K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3

- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 10 · 🔀 300 · 📦 1.2K · 📋 130 - 11% open · ⏱️ 02.02.2025):

git clone https://github.com/jealous/stockstats

- [PyPi](https://pypi.org/project/stockstats) (📥 12K / month · 📦 12 · ⏱️ 02.02.2025):

pip install stockstats

TensorTrade (🥉26 · ⭐ 4.7K · 💤) - An open source reinforcement learning framework for.. Apache-2

- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 61 · 🔀 1K · 📦 67 · 📋 260 - 20% open · ⏱️ 09.06.2024):

git clone https://github.com/tensortrade-org/tensortrade

- [PyPi](https://pypi.org/project/tensortrade) (📥 2.1K / month · 📦 1 · ⏱️ 10.05.2021):

pip install tensortrade

- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 4.5K · ⏱️ 16.06.2023):

conda install -c conda-forge tensortrade

Alpha Vantage (🥉26 · ⭐ 4.4K · 💤) - A python wrapper for Alpha Vantage API for financial data. MIT

- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 44 · 🔀 750 · 📋 290 - 0% open · ⏱️ 18.07.2024):

git clone https://github.com/RomelTorres/alpha_vantage

- [PyPi](https://pypi.org/project/alpha_vantage) (📥 52K / month · 📦 35 · ⏱️ 18.07.2024):

pip install alpha_vantage

- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 8.5K · ⏱️ 09.08.2024):

conda install -c conda-forge alpha_vantage

tf-quant-finance (🥉21 · ⭐ 4.7K) - High-performance TensorFlow library for quantitative.. Apache-2

- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 48 · 🔀 580 · 📋 63 - 55% open · ⏱️ 10.02.2025):

git clone https://github.com/google/tf-quant-finance

- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 850 / month · 📦 3 · ⏱️ 19.08.2022):

pip install tf-quant-finance

finmarketpy (🥉21 · ⭐ 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2

- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 18 · 🔀 510 · 📥 57 · 📦 16 · 📋 30 - 86% open · ⏱️ 09.11.2024):

git clone https://github.com/cuemacro/finmarketpy

- [PyPi](https://pypi.org/project/finmarketpy) (📥 350 / month · ⏱️ 19.05.2024):

pip install finmarketpy

Show 15 hidden projects...

- zipline (🥇32 · ⭐ 18K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (🥇31 · ⭐ 5.8K · 💀) - Portfolio and risk analytics in Python. Apache-2 - ta (🥇31 · ⭐ 4.5K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT - arch (🥇31 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - backtrader (🥈29 · ⭐ 16K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Backtesting.py (🥈27 · ⭐ 6K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Alphalens (🥈27 · ⭐ 3.5K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (🥈27 · ⭐ 1.3K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2 - Enigma Catalyst (🥉26 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (🥉24 · ⭐ 4.5K · 💀) - Python Algorithmic Trading Library. Apache-2 - FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (🥉22 · ⭐ 5.1K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (🥉22 · ⭐ 1.5K · 💀) - A program for financial portfolio management, analysis and.. MIT - surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0

Time Series Data¶

Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.

sktime (🥇40 · ⭐ 8.2K) - A unified framework for machine learning with time series. BSD-3

- [GitHub](https://github.com/sktime/sktime) (👨‍💻 440 · 🔀 1.5K · 📥 110 · 📦 3.9K · 📋 2.7K - 38% open · ⏱️ 20.02.2025):

git clone https://github.com/alan-turing-institute/sktime

- [PyPi](https://pypi.org/project/sktime) (📥 830K / month · 📦 130 · ⏱️ 05.02.2025):

pip install sktime

- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 18.02.2025):

conda install -c conda-forge sktime-all-extras

StatsForecast (🥇34 · ⭐ 4.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2

- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 50 · 🔀 300 · 📦 1.5K · 📋 360 - 29% open · ⏱️ 18.02.2025):

git clone https://github.com/Nixtla/statsforecast

- [PyPi](https://pypi.org/project/statsforecast) (📥 940K / month · 📦 68 · ⏱️ 18.02.2025):

pip install statsforecast

- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 160K · ⏱️ 18.02.2025):

conda install -c conda-forge statsforecast

Prophet (🥇33 · ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT

- [GitHub](https://github.com/facebook/prophet) (👨‍💻 180 · 🔀 4.5K · 📥 2.9K · 📦 21 · 📋 2.2K - 19% open · ⏱️ 20.10.2024):

git clone https://github.com/facebook/prophet

- [PyPi](https://pypi.org/project/fbprophet) (📥 170K / month · 📦 91 · ⏱️ 05.09.2020):

pip install fbprophet

- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.4M · ⏱️ 04.10.2024):

conda install -c conda-forge prophet

tsfresh (🥈32 · ⭐ 8.6K) - Automatic extraction of relevant features from time series:. MIT

- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 99 · 🔀 1.2K · 📦 21 · 📋 550 - 12% open · ⏱️ 16.02.2025):

git clone https://github.com/blue-yonder/tsfresh

- [PyPi](https://pypi.org/project/tsfresh) (📥 240K / month · 📦 100 · ⏱️ 16.02.2025):

pip install tsfresh

- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.4M · ⏱️ 16.02.2025):

conda install -c conda-forge tsfresh

Darts (🥈32 · ⭐ 8.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2

- [GitHub](https://github.com/unit8co/darts) (👨‍💻 130 · 🔀 910 · 📋 1.6K - 15% open · ⏱️ 19.02.2025):

git clone https://github.com/unit8co/darts

- [PyPi](https://pypi.org/project/u8darts) (📥 85K / month · 📦 10 · ⏱️ 14.02.2025):

pip install u8darts

- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 71K · ⏱️ 21.12.2024):

conda install -c conda-forge u8darts-all

- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.2K · ⏱️ 14.02.2025):

docker pull unit8/darts

pytorch-forecasting (🥈32 · ⭐ 4.1K) - Time series forecasting with PyTorch. MIT

- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨‍💻 64 · 🔀 650 · 📦 500 · 📋 820 - 60% open · ⏱️ 17.02.2025):

git clone https://github.com/jdb78/pytorch-forecasting

- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 87K / month · 📦 22 · ⏱️ 06.02.2025):

pip install pytorch-forecasting

- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 73K · ⏱️ 12.01.2025):

conda install -c conda-forge pytorch-forecasting

STUMPY (🥈32 · ⭐ 3.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3

- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 41 · 🔀 330 · 📦 1.1K · 📋 530 - 13% open · ⏱️ 01.02.2025):

git clone https://github.com/TDAmeritrade/stumpy

- [PyPi](https://pypi.org/project/stumpy) (📥 290K / month · 📦 30 · ⏱️ 09.07.2024):

pip install stumpy

- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 21.12.2024):

conda install -c conda-forge stumpy

NeuralForecast (🥈32 · ⭐ 3.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2

- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 49 · 🔀 380 · 📦 300 · 📋 600 - 19% open · ⏱️ 18.02.2025):

git clone https://github.com/Nixtla/neuralforecast

- [PyPi](https://pypi.org/project/neuralforecast) (📥 76K / month · 📦 25 · ⏱️ 22.01.2025):

pip install neuralforecast

- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 32K · ⏱️ 23.01.2025):

conda install -c conda-forge neuralforecast

pmdarima (🥈31 · ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT

- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 23 · 🔀 240 · 📦 11K · 📋 340 - 19% open · ⏱️ 07.11.2024):

git clone https://github.com/alkaline-ml/pmdarima

- [PyPi](https://pypi.org/project/pmdarima) (📥 2.8M / month · 📦 150 · ⏱️ 23.10.2023):

pip install pmdarima

- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.3M · ⏱️ 14.07.2024):

conda install -c conda-forge pmdarima

GluonTS (🥈30 · ⭐ 4.8K) - Probabilistic time series modeling in Python. Apache-2

- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 120 · 🔀 760 · 📋 970 - 34% open · ⏱️ 05.11.2024):

git clone https://github.com/awslabs/gluon-ts

- [PyPi](https://pypi.org/project/gluonts) (📥 610K / month · 📦 33 · ⏱️ 11.11.2024):

pip install gluonts

- [Conda](https://anaconda.org/anaconda/gluonts) (📥 1.5K · ⏱️ 16.12.2024):

conda install -c anaconda gluonts

tslearn (🥈30 · ⭐ 2.9K · 💤) - The machine learning toolkit for time series analysis in Python. BSD-2

- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 43 · 🔀 340 · 📦 1.6K · 📋 340 - 41% open · ⏱️ 01.07.2024):

git clone https://github.com/tslearn-team/tslearn

- [PyPi](https://pypi.org/project/tslearn) (📥 380K / month · 📦 79 · ⏱️ 12.12.2023):

pip install tslearn

- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.5M · ⏱️ 26.07.2024):

conda install -c conda-forge tslearn

skforecast (🥈29 · ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3

- [GitHub](https://github.com/skforecast/skforecast) (👨‍💻 17 · 🔀 150 · 📦 410 · 📋 190 - 13% open · ⏱️ 28.11.2024):

git clone https://github.com/JoaquinAmatRodrigo/skforecast

- [PyPi](https://pypi.org/project/skforecast) (📥 110K / month · 📦 15 · ⏱️ 11.11.2024):

pip install skforecast

Streamz (🥉28 · ⭐ 1.3K) - Real-time stream processing for python. BSD-3

- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 49 · 🔀 150 · 📦 520 · 📋 270 - 44% open · ⏱️ 22.11.2024):

git clone https://github.com/python-streamz/streamz

- [PyPi](https://pypi.org/project/streamz) (📥 18K / month · 📦 57 · ⏱️ 27.07.2022):

pip install streamz

- [Conda](https://anaconda.org/conda-forge/streamz) (📥 1.7M · ⏱️ 20.12.2024):

conda install -c conda-forge streamz

NeuralProphet (🥉27 · ⭐ 4K) - NeuralProphet: A simple forecasting package. MIT

- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 56 · 🔀 490 · 📋 560 - 10% open · ⏱️ 13.09.2024):

git clone https://github.com/ourownstory/neural_prophet

- [PyPi](https://pypi.org/project/neuralprophet) (📥 65K / month · 📦 8 · ⏱️ 26.06.2024):

pip install neuralprophet

TSFEL (🥉23 · ⭐ 980) - An intuitive library to extract features from time series. BSD-3

- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 20 · 🔀 140 · 📦 180 · 📋 82 - 12% open · ⏱️ 17.10.2024):

git clone https://github.com/fraunhoferportugal/tsfel

- [PyPi](https://pypi.org/project/tsfel) (📥 13K / month · 📦 7 · ⏱️ 12.09.2024):

pip install tsfel

greykite (🥉20 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2

- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 10 · 🔀 110 · 📥 36 · 📦 39 · 📋 110 - 27% open · ⏱️ 20.02.2025):

git clone https://github.com/linkedin/greykite

- [PyPi](https://pypi.org/project/greykite) (📥 6.6K / month · ⏱️ 12.01.2024):

pip install greykite

tsflex (🥉20 · ⭐ 410) - Flexible time series feature extraction & processing. MIT

- [GitHub](https://github.com/predict-idlab/tsflex) (👨‍💻 6 · 🔀 26 · 📦 19 · 📋 56 - 58% open · ⏱️ 06.09.2024):

git clone https://github.com/predict-idlab/tsflex

- [PyPi](https://pypi.org/project/tsflex) (📥 890 / month · 📦 2 · ⏱️ 06.09.2024):

pip install tsflex

- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 30K · ⏱️ 08.04.2024):

conda install -c conda-forge tsflex

pydlm (🥉19 · ⭐ 480) - A python library for Bayesian time series modeling. BSD-3

- [GitHub](https://github.com/wwrechard/pydlm) (👨‍💻 7 · 🔀 98 · 📦 39 · 📋 56 - 73% open · ⏱️ 07.09.2024):

git clone https://github.com/wwrechard/pydlm

- [PyPi](https://pypi.org/project/pydlm) (📥 39K / month · 📦 2 · ⏱️ 13.08.2024):

pip install pydlm

Auto TS (🥉17 · ⭐ 740 · 💤) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2

- [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 13 · 🔀 120 · 📋 90 - 2% open · ⏱️ 05.05.2024):

git clone https://github.com/AutoViML/Auto_TS

- [PyPi](https://pypi.org/project/auto-ts) (📥 6.8K / month · ⏱️ 05.05.2024):

pip install auto-ts

Show 10 hidden projects...

- pyts (🥉27 · ⭐ 1.8K · 💀) - A Python package for time series classification. BSD-3 - PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3 - luminol (🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2 - ADTK (🥉22 · ⭐ 1.1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - seglearn (🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:. BSD-3 - tick (🥉20 · ⭐ 500 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (🥉15 · ⭐ 510 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (🥉14 · ⭐ 350 · 💀) - A Python package for time series augmentation. Apache-2 - tslumen (🥉8 · ⭐ 69 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2

Medical Data¶

Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.

MNE (🥇39 · ⭐ 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3

- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 390 · 🔀 1.3K · 📦 5.1K · 📋 5K - 11% open · ⏱️ 17.02.2025):

git clone https://github.com/mne-tools/mne-python

- [PyPi](https://pypi.org/project/mne) (📥 150K / month · 📦 420 · ⏱️ 18.12.2024):

pip install mne

- [Conda](https://anaconda.org/conda-forge/mne) (📥 500K · ⏱️ 07.01.2025):

conda install -c conda-forge mne

Nilearn (🥇39 · ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3

- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 250 · 🔀 600 · 📥 290 · 📦 3.8K · 📋 2.3K - 13% open · ⏱️ 20.02.2025):

git clone https://github.com/nilearn/nilearn

- [PyPi](https://pypi.org/project/nilearn) (📥 72K / month · 📦 310 · ⏱️ 23.12.2024):

pip install nilearn

- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 320K · ⏱️ 23.12.2024):

conda install -c conda-forge nilearn

MONAI (🥈36 · ⭐ 6.1K) - AI Toolkit for Healthcare Imaging. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 220 · 🔀 1.1K · 📦 3.5K · 📋 3.2K - 12% open · ⏱️ 20.02.2025):

git clone https://github.com/Project-MONAI/MONAI

- [PyPi](https://pypi.org/project/monai) (📥 230K / month · 📦 140 · ⏱️ 10.12.2024):

pip install monai

- [Conda](https://anaconda.org/conda-forge/monai) (📥 41K · ⏱️ 23.12.2024):

conda install -c conda-forge monai

NiBabel (🥈36 · ⭐ 680) - Python package to access a cacophony of neuro-imaging file formats. MIT

- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 110 · 🔀 260 · 📦 25K · 📋 540 - 23% open · ⏱️ 16.02.2025):

git clone https://github.com/nipy/nibabel

- [PyPi](https://pypi.org/project/nibabel) (📥 620K / month · 📦 1.2K · ⏱️ 23.10.2024):

pip install nibabel

- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 860K · ⏱️ 12.12.2024):

conda install -c conda-forge nibabel

NIPYPE (🥈35 · ⭐ 760 · 📉) - Workflows and interfaces for neuroimaging packages. Apache-2

- [GitHub](https://github.com/nipy/nipype) (👨‍💻 260 · 🔀 530 · 📦 5.8K · 📋 1.4K - 30% open · ⏱️ 18.01.2025):

git clone https://github.com/nipy/nipype

- [PyPi](https://pypi.org/project/nipype) (📥 280K / month · 📦 150 · ⏱️ 17.12.2024):

pip install nipype

- [Conda](https://anaconda.org/conda-forge/nipype) (📥 760K · ⏱️ 18.12.2024):

conda install -c conda-forge nipype

Hail (🥈34 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT

- [GitHub](https://github.com/hail-is/hail) (👨‍💻 97 · 🔀 250 · 📦 160 · 📋 2.5K - 10% open · ⏱️ 19.02.2025):

git clone https://github.com/hail-is/hail

- [PyPi](https://pypi.org/project/hail) (📥 110K / month · 📦 34 · ⏱️ 04.10.2024):

pip install hail

Lifelines (🥈33 · ⭐ 2.4K) - Survival analysis in Python. MIT

- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 3.4K · 📋 980 - 27% open · ⏱️ 29.10.2024):

git clone https://github.com/CamDavidsonPilon/lifelines

- [PyPi](https://pypi.org/project/lifelines) (📥 2.6M / month · 📦 160 · ⏱️ 29.10.2024):

pip install lifelines

- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 400K · ⏱️ 19.12.2024):

conda install -c conda-forge lifelines

DeepVariant (🥉26 · ⭐ 3.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3

- [GitHub](https://github.com/google/deepvariant) (👨‍💻 36 · 🔀 730 · 📥 4.8K · 📋 870 - 0% open · ⏱️ 09.12.2024):

git clone https://github.com/google/deepvariant

- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 74K · ⏱️ 16.06.2023):

conda install -c bioconda deepvariant

Brainiak (🥉20 · ⭐ 350) - Brain Imaging Analysis Kit. Apache-2

- [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 35 · 🔀 140 · 📋 230 - 39% open · ⏱️ 06.01.2025):

git clone https://github.com/brainiak/brainiak

- [PyPi](https://pypi.org/project/brainiak) (📥 2.3K / month · ⏱️ 07.01.2025):

pip install brainiak

- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.9K · ⭐ 1 · ⏱️ 07.01.2025):

docker pull brainiak/brainiak

Show 10 hidden projects...

- DIPY (🥈32 · ⭐ 730) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (🥉25 · ⭐ 390) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (🥉23 · ⭐ 580 · 💤) - Medical image processing in Python. ❗️GPL-3.0 - Glow (🥉21 · ⭐ 270) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - MedicalTorch (🥉15 · ⭐ 860 · 💀) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (🥉14 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (🥉14 · ⭐ 130 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (🥉12 · ⭐ 2K · 💀) - Many studies have shown that the performance on deep learning is.. MIT

Tabular Data¶

Libraries for processing tabular and structured data.

pytorch_tabular (🥇24 · ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT

- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 25 · 🔀 150 · 📥 54 · 📋 160 - 6% open · ⏱️ 18.12.2024):

git clone https://github.com/manujosephv/pytorch_tabular

- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 6.9K / month · 📦 9 · ⏱️ 28.11.2024):

pip install pytorch_tabular

miceforest (🥈23 · ⭐ 370) - Multiple Imputation with LightGBM in Python. MIT

- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨‍💻 8 · 🔀 30 · 📦 200 · 📋 86 - 9% open · ⏱️ 02.08.2024):

git clone https://github.com/AnotherSamWilson/miceforest

- [PyPi](https://pypi.org/project/miceforest) (📥 62K / month · 📦 9 · ⏱️ 02.08.2024):

pip install miceforest

- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 18K · ⏱️ 16.06.2023):

conda install -c conda-forge miceforest

upgini (🥉21 · ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3

- [GitHub](https://github.com/upgini/upgini) (👨‍💻 13 · 🔀 25 · 📦 9 · ⏱️ 20.02.2025):

git clone https://github.com/upgini/upgini

- [PyPi](https://pypi.org/project/upgini) (📥 11K / month · ⏱️ 20.02.2025):

pip install upgini

carefree-learn (🥉17 · ⭐ 410 · 💤) - Deep Learning PyTorch. MIT

- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 38 · 📦 8 · 📋 82 - 2% open · ⏱️ 18.03.2024):

git clone https://github.com/carefree0910/carefree-learn

- [PyPi](https://pypi.org/project/carefree-learn) (📥 700 / month · ⏱️ 09.01.2024):

pip install carefree-learn

Show 1 hidden projects...

- deltapy (🥉13 · ⭐ 540 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

Optical Character Recognition¶

Libraries for optical character recognition (OCR) and text extraction from images or videos.

PaddleOCR (🥇41 · ⭐ 47K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 270 · 🔀 7.9K · 📥 1.3M · 📦 4.4K · 📋 9.6K - 1% open · ⏱️ 20.02.2025):

git clone https://github.com/PaddlePaddle/PaddleOCR

- [PyPi](https://pypi.org/project/paddleocr) (📥 330K / month · 📦 110 · ⏱️ 22.10.2024):

pip install paddleocr

OCRmyPDF (🥇38 · ⭐ 18K · 📈) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0

- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 100 · 🔀 1.2K · 📥 7.2K · 📦 1.2K · 📋 1.2K - 9% open · ⏱️ 07.02.2025):

git clone https://github.com/ocrmypdf/OCRmyPDF

- [PyPi](https://pypi.org/project/ocrmypdf) (📥 190K / month · 📦 42 · ⏱️ 08.02.2025):

pip install ocrmypdf

- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 91K · ⏱️ 16.06.2023):

conda install -c conda-forge ocrmypdf

EasyOCR (🥈35 · ⭐ 26K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2

- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 130 · 🔀 3.2K · 📥 18M · 📦 11K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):

git clone https://github.com/JaidedAI/EasyOCR

- [PyPi](https://pypi.org/project/easyocr) (📥 760K / month · 📦 250 · ⏱️ 24.09.2024):

pip install easyocr

Tesseract (🥈31 · ⭐ 6K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2

- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 49 · 🔀 720 · 📋 370 - 2% open · ⏱️ 17.02.2025):

git clone https://github.com/madmaze/pytesseract

- [PyPi](https://pypi.org/project/pytesseract) (📥 2.7M / month · 📦 970 · ⏱️ 16.08.2024):

pip install pytesseract

- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 650K · ⏱️ 07.01.2025):

conda install -c conda-forge pytesseract

tesserocr (🥈31 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT

- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 31 · 🔀 260 · 📥 860 · 📦 1.2K · 📋 280 - 17% open · ⏱️ 12.02.2025):

git clone https://github.com/sirfz/tesserocr

- [PyPi](https://pypi.org/project/tesserocr) (📥 100K / month · 📦 43 · ⏱️ 12.02.2025):

pip install tesserocr

- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 230K · ⏱️ 13.09.2024):

conda install -c conda-forge tesserocr

MMOCR (🥉26 · ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2

- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 750 · 📦 200 · 📋 930 - 20% open · ⏱️ 27.11.2024):

git clone https://github.com/open-mmlab/mmocr

- [PyPi](https://pypi.org/project/mmocr) (📥 5K / month · 📦 4 · ⏱️ 05.05.2022):

pip install mmocr

Show 6 hidden projects...

- keras-ocr (🥉25 · ⭐ 1.4K · 💀) - A packaged and flexible version of the CRAFT text detector.. MIT - calamari (🥉23 · ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (🥉21 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (🥉21 · ⭐ 1.1K · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (🥉10 · ⭐ 640 · 💀) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

Data Containers & Structures¶

General-purpose data containers & structures as well as utilities & extensions for pandas.

🔗 best-of-python - Data Containers ( ⭐ 3.8K) - Collection of data-container, dataframe, and pandas-..

Data Loading & Extraction¶

Libraries for loading, collecting, and extracting data from a variety of data sources and formats.

🔗 best-of-python - Data Extraction ( ⭐ 3.8K) - Collection of data-loading and -extraction libraries.

Web Scraping & Crawling¶

Libraries for web scraping, crawling, downloading, and mining as well as libraries.

🔗 best-of-web-python - Web Scraping ( ⭐ 2.5K · 💤) - Collection of web-scraping and crawling libraries.

Data Pipelines & Streaming¶

Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.

🔗 best-of-python - Data Pipelines ( ⭐ 3.8K) - Libraries for data batch- and stream-processing,..

Show 1 hidden projects...

- pyclugen (🥇10 · ⭐ 8) - Multidimensional cluster generation in Python. MIT

Distributed Machine Learning¶

Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.

Ray (🥇47 · ⭐ 36K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2

- [GitHub](https://github.com/ray-project/ray) (👨‍💻 1.2K · 🔀 6K · 📥 250 · 📦 21K · 📋 20K - 21% open · ⏱️ 20.02.2025):

git clone https://github.com/ray-project/ray

- [PyPi](https://pypi.org/project/ray) (📥 5.9M / month · 📦 880 · ⏱️ 11.02.2025):

pip install ray

- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 680K · ⏱️ 15.02.2025):

conda install -c conda-forge ray-tune

dask (🥇44 · ⭐ 13K) - Parallel computing with task scheduling. BSD-3

- [GitHub](https://github.com/dask/dask) (👨‍💻 620 · 🔀 1.7K · 📦 70K · 📋 5.5K - 20% open · ⏱️ 20.02.2025):

git clone https://github.com/dask/dask

- [PyPi](https://pypi.org/project/dask) (📥 10M / month · 📦 2.7K · ⏱️ 13.02.2025):

pip install dask

- [Conda](https://anaconda.org/conda-forge/dask) (📥 13M · ⏱️ 14.02.2025):

conda install -c conda-forge dask

DeepSpeed (🥇41 · ⭐ 37K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2

- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨‍💻 370 · 🔀 4.2K · 📦 11K · 📋 3.1K - 35% open · ⏱️ 19.02.2025):

git clone https://github.com/microsoft/DeepSpeed

- [PyPi](https://pypi.org/project/deepspeed) (📥 590K / month · 📦 240 · ⏱️ 21.01.2025):

pip install deepspeed

- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 22K · ⭐ 4 · ⏱️ 02.09.2022):

docker pull deepspeed/deepspeed

dask.distributed (🥇40 · ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3

- [GitHub](https://github.com/dask/distributed) (👨‍💻 330 · 🔀 730 · 📦 38K · 📋 4K - 38% open · ⏱️ 13.02.2025):

git clone https://github.com/dask/distributed

- [PyPi](https://pypi.org/project/distributed) (📥 4.1M / month · 📦 920 · ⏱️ 13.02.2025):

pip install distributed

- [Conda](https://anaconda.org/conda-forge/distributed) (📥 17M · ⏱️ 14.02.2025):

conda install -c conda-forge distributed

metrics (🥈36 · ⭐ 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2

- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 270 · 🔀 420 · 📥 6.3K · 📦 37K · 📋 920 - 10% open · ⏱️ 18.02.2025):

git clone https://github.com/Lightning-AI/metrics

- [PyPi](https://pypi.org/project/metrics) (📥 5.4K / month · 📦 2 · ⏱️ 28.04.2018):

pip install metrics

- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 1.8M · ⏱️ 26.12.2024):

conda install -c conda-forge torchmetrics

horovod (🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2

- [GitHub](https://github.com/horovod/horovod) (👨‍💻 170 · 🔀 2.2K · 📦 1.3K · 📋 2.3K - 17% open · ⏱️ 01.02.2025):

git clone https://github.com/horovod/horovod

- [PyPi](https://pypi.org/project/horovod) (📥 90K / month · 📦 33 · ⏱️ 12.06.2023):

pip install horovod

H2O-3 (🥈34 · ⭐ 7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2

- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 270 · 🔀 2K · 📦 21 · 📋 9.6K - 29% open · ⏱️ 20.02.2025):

git clone https://github.com/h2oai/h2o-3

- [PyPi](https://pypi.org/project/h2o) (📥 190K / month · 📦 49 · ⏱️ 02.11.2024):

pip install h2o

ColossalAI (🥈32 · ⭐ 40K) - Making large AI models cheaper, faster and more accessible. Apache-2

- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 190 · 🔀 4.4K · 📦 470 · 📋 1.7K - 25% open · ⏱️ 20.02.2025):

git clone https://github.com/hpcaitech/colossalai

BigDL (🥈32 · ⭐ 7.2K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2

- [GitHub](https://github.com/intel/ipex-llm) (👨‍💻 120 · 🔀 1.3K · 📥 2.6K · 📋 2.8K - 38% open · ⏱️ 20.02.2025):

git clone https://github.com/intel-analytics/BigDL

- [PyPi](https://pypi.org/project/bigdl) (📥 9K / month · 📦 2 · ⏱️ 24.03.2024):

pip install bigdl

- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 5 · ⏱️ 20.04.2021):

<dependency>
    <groupId>com.intel.analytics.bigdl</groupId>
    <artifactId>bigdl-SPARK_2.4</artifactId>
    <version>[VERSION]</version>
</dependency>

FairScale (🥈31 · ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3

- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 76 · 🔀 280 · 📦 7.5K · 📋 390 - 26% open · ⏱️ 12.01.2025):

git clone https://github.com/facebookresearch/fairscale

- [PyPi](https://pypi.org/project/fairscale) (📥 480K / month · 📦 150 · ⏱️ 11.12.2022):

pip install fairscale

- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 400K · ⏱️ 28.11.2023):

conda install -c conda-forge fairscale

dask-ml (🥈30 · ⭐ 920) - Scalable Machine Learning with Dask. BSD-3

- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 80 · 🔀 260 · 📦 1.2K · 📋 540 - 51% open · ⏱️ 07.02.2025):

git clone https://github.com/dask/dask-ml

- [PyPi](https://pypi.org/project/dask-ml) (📥 92K / month · 📦 100 · ⏱️ 08.02.2025):

pip install dask-ml

- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 950K · ⏱️ 08.02.2025):

conda install -c conda-forge dask-ml

mpi4py (🥈30 · ⭐ 840) - Python bindings for MPI. BSD-3

- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 27 · 🔀 120 · 📥 30K · 📋 200 - 3% open · ⏱️ 16.02.2025):

git clone https://github.com/mpi4py/mpi4py

- [PyPi](https://pypi.org/project/mpi4py) (📥 330K / month · 📦 830 · ⏱️ 13.02.2025):

pip install mpi4py

- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 3.5M · ⏱️ 14.02.2025):

conda install -c conda-forge mpi4py

SynapseML (🥈29 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 830 · 📋 790 - 48% open · ⏱️ 06.02.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/synapseml) (📥 330K / month · 📦 7 · ⏱️ 10.01.2025):

pip install synapseml

Submit it (🥉28 · ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT

- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 25 · 🔀 130 · 📦 3.9K · 📋 130 - 39% open · ⏱️ 18.09.2024):

git clone https://github.com/facebookincubator/submitit

- [PyPi](https://pypi.org/project/submitit) (📥 420K / month · 📦 49 · ⏱️ 18.09.2024):

pip install submitit

- [Conda](https://anaconda.org/conda-forge/submitit) (📥 48K · ⏱️ 19.11.2024):

conda install -c conda-forge submitit

Apache Singa (🥉24 · ⭐ 3.4K) - a distributed deep learning platform. Apache-2

- [GitHub](https://github.com/apache/singa) (👨‍💻 96 · 🔀 1.2K · 📦 5 · 📋 140 - 36% open · ⏱️ 30.12.2024):

git clone https://github.com/apache/singa

- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 940 · ⏱️ 16.06.2023):

conda install -c nusdbsystem singa

- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 8.8K · ⭐ 4 · ⏱️ 31.05.2022):

docker pull apache/singa

Hivemind (🥉24 · ⭐ 2.1K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT

- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 33 · 🔀 170 · 📦 120 · 📋 180 - 43% open · ⏱️ 05.11.2024):

git clone https://github.com/learning-at-home/hivemind

- [PyPi](https://pypi.org/project/hivemind) (📥 950 / month · 📦 10 · ⏱️ 31.08.2023):

pip install hivemind

MMLSpark (🥉23 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 830 · 📋 790 - 48% open · ⏱️ 06.02.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):

pip install mmlspark

analytics-zoo (🥉22 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2

- [GitHub](https://github.com/intel/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 09.01.2025):

git clone https://github.com/intel-analytics/analytics-zoo

- [PyPi](https://pypi.org/project/analytics-zoo) (📥 1.4K / month · 📦 1 · ⏱️ 22.08.2022):

pip install analytics-zoo

Show 18 hidden projects...

- DEAP (🥈34 · ⭐ 6K · 📉) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈29 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (🥉28 · ⭐ 1.8K · 💀) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (🥉26 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (🥉25 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (🥉22 · ⭐ 1.6K · 💀) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - BytePS (🥉21 · ⭐ 3.7K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (🥉21 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (🥉20 · ⭐ 270 · 💀) - Massively parallel self-organizing maps: accelerate training on.. MIT - launchpad (🥉19 · ⭐ 320 · 💀) - Launchpad is a library that simplifies writing.. Apache-2 - mesh-transformer-jax (🥉18 · ⭐ 6.3K · 💀) - Model parallel transformers in JAX and Haiku. Apache-2 - Fiber (🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (🥉17 · ⭐ 780 · 💀) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (🥉17 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (🥉16 · ⭐ 720 · 💀) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (🥉14 · ⭐ 49 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉12 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (🥉11 · ⭐ 370 · 💀) - A library for distributed ML training with PyTorch. MIT

Hyperparameter Optimization & AutoML¶

Libraries for hyperparameter optimization, automl and neural architecture search.

Optuna (🥇43 · ⭐ 11K) - A hyperparameter optimization framework. MIT

- [GitHub](https://github.com/optuna/optuna) (👨‍💻 290 · 🔀 1.1K · 📦 22K · 📋 1.7K - 3% open · ⏱️ 19.02.2025):

git clone https://github.com/optuna/optuna

- [PyPi](https://pypi.org/project/optuna) (📥 3.4M / month · 📦 1.2K · ⏱️ 12.02.2025):

pip install optuna

- [Conda](https://anaconda.org/conda-forge/optuna) (📥 2.3M · ⏱️ 14.02.2025):

conda install -c conda-forge optuna

AutoGluon (🥇36 · ⭐ 8.5K) - Fast and Accurate ML in 3 Lines of Code. Apache-2

- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 130 · 🔀 960 · 📦 980 · 📋 1.6K - 24% open · ⏱️ 19.02.2025):

git clone https://github.com/autogluon/autogluon

- [PyPi](https://pypi.org/project/autogluon) (📥 170K / month · 📦 30 · ⏱️ 20.02.2025):

pip install autogluon

- [Conda](https://anaconda.org/conda-forge/autogluon) (📥 29K · ⏱️ 12.12.2024):

conda install -c conda-forge autogluon

- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 14K · ⭐ 17 · ⏱️ 07.03.2024):

docker pull autogluon/autogluon

Ax (🥇36 · ⭐ 2.4K) - Adaptive Experimentation Platform. MIT

- [GitHub](https://github.com/facebook/Ax) (👨‍💻 180 · 🔀 320 · 📦 900 · 📋 820 - 10% open · ⏱️ 19.02.2025):

git clone https://github.com/facebook/Ax

- [PyPi](https://pypi.org/project/ax-platform) (📥 130K / month · 📦 57 · ⏱️ 03.02.2025):

pip install ax-platform

- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 34K · ⏱️ 07.02.2025):

conda install -c conda-forge ax-platform

BoTorch (🥇34 · ⭐ 3.2K) - Bayesian optimization in PyTorch. MIT

- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 140 · 🔀 410 · 📦 1.3K · 📋 570 - 13% open · ⏱️ 19.02.2025):

git clone https://github.com/pytorch/botorch

- [PyPi](https://pypi.org/project/botorch) (📥 220K / month · 📦 100 · ⏱️ 03.02.2025):

pip install botorch

- [Conda](https://anaconda.org/conda-forge/botorch) (📥 140K · ⏱️ 04.02.2025):

conda install -c conda-forge botorch

Hyperopt (🥇33 · ⭐ 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3

- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1.1K · 📦 19K · 📋 720 - 19% open · ⏱️ 27.12.2024):

git clone https://github.com/hyperopt/hyperopt

- [PyPi](https://pypi.org/project/hyperopt) (📥 2.2M / month · 📦 450 · ⏱️ 17.11.2021):

pip install hyperopt

- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 820K · ⏱️ 20.12.2024):

conda install -c conda-forge hyperopt

nevergrad (🥇33 · ⭐ 4K) - A Python toolbox for performing gradient-free optimization. MIT

- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 57 · 🔀 360 · 📦 840 · 📋 310 - 39% open · ⏱️ 05.12.2024):

git clone https://github.com/facebookresearch/nevergrad

- [PyPi](https://pypi.org/project/nevergrad) (📥 110K / month · 📦 62 · ⏱️ 01.12.2024):

pip install nevergrad

- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 59K · ⏱️ 09.01.2024):

conda install -c conda-forge nevergrad

Bayesian Optimization (🥈32 · ⭐ 8.1K) - A Python implementation of global optimization with.. MIT

- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 47 · 🔀 1.6K · 📥 170 · 📦 3.3K · 📋 370 - 1% open · ⏱️ 27.12.2024):

git clone https://github.com/fmfn/BayesianOptimization

- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 340K / month · 📦 150 · ⏱️ 27.12.2024):

pip install bayesian-optimization

featuretools (🥈32 · ⭐ 7.4K) - An open source python library for automated feature engineering. BSD-3

- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 74 · 🔀 880 · 📦 1.9K · 📋 1K - 15% open · ⏱️ 13.11.2024):

git clone https://github.com/alteryx/featuretools

- [PyPi](https://pypi.org/project/featuretools) (📥 62K / month · 📦 74 · ⏱️ 14.05.2024):

pip install featuretools

- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 230K · ⏱️ 15.05.2024):

conda install -c conda-forge featuretools

AutoKeras (🥈31 · ⭐ 9.2K) - AutoML library for deep learning. Apache-2

- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 19K · 📦 800 · 📋 910 - 16% open · ⏱️ 16.12.2024):

git clone https://github.com/keras-team/autokeras

- [PyPi](https://pypi.org/project/autokeras) (📥 18K / month · 📦 13 · ⏱️ 20.03.2024):

pip install autokeras

Keras Tuner (🥈31 · ⭐ 2.9K · 💤) - A Hyperparameter Tuning Library for Keras. Apache-2

- [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 61 · 🔀 400 · 📦 5.2K · 📋 500 - 44% open · ⏱️ 24.06.2024):

git clone https://github.com/keras-team/keras-tuner

- [PyPi](https://pypi.org/project/keras-tuner) (📥 380K / month · 📦 120 · ⏱️ 04.03.2024):

pip install keras-tuner

- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 50K · ⏱️ 25.12.2024):

conda install -c conda-forge keras-tuner

mljar-supervised (🥈29 · ⭐ 3.1K) - Python package for AutoML on Tabular Data with Feature.. MIT

- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 29 · 🔀 410 · 📦 140 · 📋 670 - 20% open · ⏱️ 14.01.2025):

git clone https://github.com/mljar/mljar-supervised

- [PyPi](https://pypi.org/project/mljar-supervised) (📥 8.6K / month · 📦 6 · ⏱️ 14.01.2025):

pip install mljar-supervised

- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 36K · ⏱️ 14.01.2025):

conda install -c conda-forge mljar-supervised

lazypredict (🥈27 · ⭐ 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT

- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 18 · 🔀 350 · 📦 1.2K · 📋 140 - 69% open · ⏱️ 03.11.2024):

git clone https://github.com/shankarpandala/lazypredict

- [PyPi](https://pypi.org/project/lazypredict) (📥 17K / month · 📦 6 · ⏱️ 02.11.2024):

pip install lazypredict

- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 4.1K · ⏱️ 16.06.2023):

conda install -c conda-forge lazypredict

Talos (🥈25 · ⭐ 1.6K · 💤) - Hyperparameter Experiments with TensorFlow and Keras. MIT

- [GitHub](https://github.com/autonomio/talos) (👨‍💻 23 · 🔀 270 · 📦 200 · 📋 400 - 2% open · ⏱️ 22.04.2024):

git clone https://github.com/autonomio/talos

- [PyPi](https://pypi.org/project/talos) (📥 1.4K / month · 📦 8 · ⏱️ 21.04.2024):

pip install talos

FEDOT (🥈24 · ⭐ 660) - Automated modeling and machine learning framework FEDOT. BSD-3

- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 38 · 🔀 88 · 📦 57 · 📋 560 - 10% open · ⏱️ 19.02.2025):

git clone https://github.com/nccr-itmo/FEDOT

- [PyPi](https://pypi.org/project/fedot) (📥 1.8K / month · 📦 5 · ⏱️ 28.08.2024):

pip install fedot

featurewiz (🥉23 · ⭐ 600) - Use advanced feature engineering strategies and select best.. Apache-2

- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 18 · 🔀 91 · 📦 83 · ⏱️ 19.02.2025):

git clone https://github.com/AutoViML/featurewiz

- [PyPi](https://pypi.org/project/featurewiz) (📥 11K / month · 📦 4 · ⏱️ 19.02.2025):

pip install featurewiz

Hyperactive (🥉23 · ⭐ 510) - An optimization and data collection toolbox for convenient and fast.. MIT

- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 9 · 🔀 42 · 📥 300 · 📦 36 · 📋 79 - 18% open · ⏱️ 24.01.2025):

git clone https://github.com/SimonBlanke/Hyperactive

- [PyPi](https://pypi.org/project/hyperactive) (📥 2.2K / month · 📦 13 · ⏱️ 15.08.2024):

pip install hyperactive

Auto ViML (🥉22 · ⭐ 530) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2

- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 9 · 🔀 100 · 📦 28 · ⏱️ 30.01.2025):

git clone https://github.com/AutoViML/Auto_ViML

- [PyPi](https://pypi.org/project/autoviml) (📥 4.5K / month · 📦 3 · ⏱️ 30.01.2025):

pip install autoviml

AlphaPy (🥉21 · ⭐ 1.4K) - Python AutoML for Trading Systems and Sports Betting. Apache-2

- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 230 · 📦 8 · 📋 44 - 34% open · ⏱️ 15.12.2024):

git clone https://github.com/ScottfreeLLC/AlphaPy

- [PyPi](https://pypi.org/project/alphapy) (📥 1.4K / month · ⏱️ 29.08.2020):

pip install alphapy

opytimizer (🥉18 · ⭐ 610) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2

- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 42 · 📦 19 · ⏱️ 18.08.2024):

git clone https://github.com/gugarosa/opytimizer

- [PyPi](https://pypi.org/project/opytimizer) (📥 280 / month · ⏱️ 18.08.2024):

pip install opytimizer

shap-hypetune (🥉18 · ⭐ 570 · 💤) - A python package for simultaneous Hyperparameters Tuning and.. MIT

- [GitHub](https://github.com/cerlymarco/shap-hypetune) (👨‍💻 3 · 🔀 70 · 📦 21 · 📋 36 - 11% open · ⏱️ 21.02.2024):

git clone https://github.com/cerlymarco/shap-hypetune

- [PyPi](https://pypi.org/project/shap-hypetune) (📥 2.5K / month · 📦 2 · ⏱️ 21.02.2024):

pip install shap-hypetune

Show 32 hidden projects...

- TPOT (🥈32 · ⭐ 9.8K · 💤) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - scikit-optimize (🥈32 · ⭐ 2.8K · 💀) - Sequential model-based optimization with a.. BSD-3 - NNI (🥈31 · ⭐ 14K · 💀) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (🥈31 · ⭐ 7.7K · 💀) - Automated Machine Learning with scikit-learn. BSD-3 - Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - SMAC3 (🥈26 · ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (🥈25 · ⭐ 940 · 💀) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (🥈24 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥈24 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - lightwood (🥈24 · ⭐ 460) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (🥉23 · ⭐ 620 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - Orion (🥉23 · ⭐ 290 · 💀) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (🥉21 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (🥉21 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (🥉21 · ⭐ 610 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - sklearn-deap (🥉20 · ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - optunity (🥉20 · ⭐ 420 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (🥉19 · ⭐ 870 · 💀) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (🥉19 · ⭐ 530 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (🥉19 · ⭐ 340 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (🥉18 · ⭐ 1.6K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (🥉18 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (🥉17 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (🥉16 · ⭐ 1.9K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - Parfit (🥉15 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (🥉13 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉12 · ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. BSD-3 - model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT - Hypertunity (🥉10 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

Reinforcement Learning¶

Libraries for building and evaluating reinforcement learning & agent-based systems.

FinRL (🥇31 · ⭐ 11K) - FinRL: Financial Reinforcement Learning. MIT

- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 120 · 🔀 2.5K · 📦 64 · 📋 730 - 33% open · ⏱️ 19.02.2025):

git clone https://github.com/AI4Finance-Foundation/FinRL

- [PyPi](https://pypi.org/project/finrl) (📥 2.2K / month · ⏱️ 08.01.2022):

pip install finrl

TF-Agents (🥈28 · ⭐ 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2

- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 150 · 🔀 720 · 📋 670 - 29% open · ⏱️ 07.02.2025):

git clone https://github.com/tensorflow/agents

- [PyPi](https://pypi.org/project/tf-agents) (📥 44K / month · 📦 14 · ⏱️ 14.12.2023):

pip install tf-agents

Dopamine (🥈27 · ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2

- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 54% open · ⏱️ 04.11.2024):

git clone https://github.com/google/dopamine

- [PyPi](https://pypi.org/project/dopamine-rl) (📥 27K / month · 📦 10 · ⏱️ 31.10.2024):

pip install dopamine-rl

Acme (🥈27 · ⭐ 3.6K) - A library of reinforcement learning components and agents. Apache-2

- [GitHub](https://github.com/google-deepmind/acme) (👨‍💻 86 · 🔀 440 · 📦 230 · 📋 270 - 23% open · ⏱️ 14.01.2025):

git clone https://github.com/deepmind/acme

- [PyPi](https://pypi.org/project/dm-acme) (📥 1.5K / month · 📦 3 · ⏱️ 10.02.2022):

pip install dm-acme

- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 11K · ⏱️ 04.01.2025):

conda install -c conda-forge dm-acme

ViZDoom (🥈27 · ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT

- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 55 · 🔀 390 · 📥 12K · 📦 300 · 📋 460 - 6% open · ⏱️ 08.09.2024):

git clone https://github.com/mwydmuch/ViZDoom

- [PyPi](https://pypi.org/project/vizdoom) (📥 5.6K / month · 📦 15 · ⏱️ 20.08.2024):

pip install vizdoom

TensorForce (🥉26 · ⭐ 3.3K · 💤) - Tensorforce: a TensorFlow library for applied.. Apache-2

- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 85 · 🔀 530 · 📦 460 · 📋 680 - 6% open · ⏱️ 31.07.2024):

git clone https://github.com/tensorforce/tensorforce

- [PyPi](https://pypi.org/project/tensorforce) (📥 790 / month · 📦 4 · ⏱️ 30.08.2021):

pip install tensorforce

PARL (🥉24 · ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 46 · 🔀 810 · 📦 130 · 📋 540 - 24% open · ⏱️ 24.01.2025):

git clone https://github.com/PaddlePaddle/PARL

- [PyPi](https://pypi.org/project/parl) (📥 990 / month · 📦 1 · ⏱️ 13.05.2022):

pip install parl

RLax (🥉24 · ⭐ 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2

- [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 21 · 🔀 88 · 📦 300 · 📋 26 - 30% open · ⏱️ 15.01.2025):

git clone https://github.com/deepmind/rlax

- [PyPi](https://pypi.org/project/rlax) (📥 23K / month · 📦 11 · ⏱️ 09.01.2023):

pip install rlax

ReAgent (🥉22 · ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3

- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 19.02.2025):

git clone https://github.com/facebookresearch/ReAgent

- [PyPi](https://pypi.org/project/reagent) (📥 63 / month · ⏱️ 27.05.2020):

pip install reagent

PFRL (🥉22 · ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT

- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 20 · 🔀 150 · 📦 120 · 📋 79 - 41% open · ⏱️ 04.08.2024):

git clone https://github.com/pfnet/pfrl

- [PyPi](https://pypi.org/project/pfrl) (📥 380 / month · 📦 1 · ⏱️ 16.07.2023):

pip install pfrl

rliable (🥉13 · ⭐ 800) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2

- [GitHub](https://github.com/google-research/rliable) (👨‍💻 9 · 🔀 48 · 📦 180 · 📋 20 - 15% open · ⏱️ 12.08.2024):

git clone https://github.com/google-research/rliable

- [PyPi](https://pypi.org/project/rliable`):

pip install rliable`

Show 12 hidden projects...

- OpenAI Gym (🥇39 · ⭐ 35K · 💀) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (🥇29 · ⭐ 16K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras. MIT - TensorLayer (🥈27 · ⭐ 7.3K · 💀) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - garage (🥉25 · ⭐ 1.9K · 💀) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (🥉24 · ⭐ 4.2K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - Coach (🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (🥉18 · ⭐ 6.8K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (🥉17 · ⭐ 7.2K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (🥉13 · ⭐ 270 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom

Recommender Systems¶

Libraries for building and evaluating recommendation systems.

Recommenders (🥇34 · ⭐ 20K) - Best Practices on Recommendation Systems. MIT

- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 140 · 🔀 3.2K · 📥 680 · 📦 150 · 📋 880 - 18% open · ⏱️ 19.01.2025):

git clone https://github.com/microsoft/recommenders

- [PyPi](https://pypi.org/project/recommenders) (📥 19K / month · 📦 4 · ⏱️ 24.12.2024):

pip install recommenders

torchrec (🥇30 · ⭐ 2K) - Pytorch domain library for recommendation systems. BSD-3

- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 320 · 🔀 470 · 📦 180 · 📋 470 - 71% open · ⏱️ 20.02.2025):

git clone https://github.com/pytorch/torchrec

- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 1.9K / month · ⏱️ 12.05.2022):

pip install torchrec-nightly-cpu

Cornac (🥈28 · ⭐ 930) - A Comparative Framework for Multimodal Recommender Systems. Apache-2

- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 23 · 🔀 150 · 📦 260 · 📋 160 - 14% open · ⏱️ 18.02.2025):

git clone https://github.com/PreferredAI/cornac

- [PyPi](https://pypi.org/project/cornac) (📥 31K / month · 📦 18 · ⏱️ 24.12.2024):

pip install cornac

- [Conda](https://anaconda.org/conda-forge/cornac) (📥 760K · ⏱️ 24.12.2024):

conda install -c conda-forge cornac

scikit-surprise (🥈27 · ⭐ 6.5K · 💤) - A Python scikit for building and analyzing recommender.. BSD-3

- [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 46 · 🔀 1K · 📦 21 · 📋 400 - 21% open · ⏱️ 14.06.2024):

git clone https://github.com/NicolasHug/Surprise

- [PyPi](https://pypi.org/project/scikit-surprise) (📥 140K / month · 📦 37 · ⏱️ 19.05.2024):

pip install scikit-surprise

- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 460K · ⏱️ 20.05.2024):

conda install -c conda-forge scikit-surprise

RecBole (🥉25 · ⭐ 3.6K) - A unified, comprehensive and efficient recommendation library. MIT

- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 75 · 🔀 630 · 📋 1K - 28% open · ⏱️ 20.02.2025):

git clone https://github.com/RUCAIBox/RecBole

- [PyPi](https://pypi.org/project/recbole) (📥 41K / month · 📦 2 · ⏱️ 31.10.2023):

pip install recbole

- [Conda](https://anaconda.org/aibox/recbole) (📥 7.5K · ⏱️ 01.11.2023):

conda install -c aibox recbole

TF Ranking (🥉25 · ⭐ 2.8K · 💤) - Learning to Rank in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 36 · 🔀 480 · 📋 330 - 27% open · ⏱️ 18.03.2024):

git clone https://github.com/tensorflow/ranking

- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 51K / month · 📦 15 · ⏱️ 18.03.2024):

pip install tensorflow_ranking

TF Recommenders (🥉24 · ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2

- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 43 · 🔀 280 · 📋 450 - 59% open · ⏱️ 16.01.2025):

git clone https://github.com/tensorflow/recommenders

- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 210K / month · 📦 2 · ⏱️ 03.02.2023):

pip install tensorflow-recommenders

Show 10 hidden projects...

- implicit (🥈29 · ⭐ 3.6K · 💀) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (🥈28 · ⭐ 4.8K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (🥈27 · ⭐ 280) - Python recommendation toolkit. MIT - tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - recmetrics (🥉19 · ⭐ 580 · 💀) - A library of metrics for evaluating recommender systems. MIT - Spotlight (🥉18 · ⭐ 3K · 💀) - Deep recommender models using PyTorch. MIT - Case Recommender (🥉18 · ⭐ 490 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT - Collie (🥉17 · ⭐ 110 · 💀) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - OpenRec (🥉16 · ⭐ 420 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2

Privacy Machine Learning¶

Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.

PySyft (🥇36 · ⭐ 9.6K · 📉) - Perform data science on data that remains in someone elses.. Apache-2

- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 520 · 🔀 2K · 📥 2.1K · 📦 1 · 📋 3.4K - 1% open · ⏱️ 16.02.2025):

git clone https://github.com/OpenMined/PySyft

- [PyPi](https://pypi.org/project/syft) (📥 10K / month · 📦 4 · ⏱️ 16.02.2025):

pip install syft

Opacus (🥈32 · ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2

- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 85 · 🔀 360 · 📥 140 · 📦 1K · 📋 320 - 21% open · ⏱️ 18.02.2025):

git clone https://github.com/pytorch/opacus

- [PyPi](https://pypi.org/project/opacus) (📥 99K / month · 📦 42 · ⏱️ 18.02.2025):

pip install opacus

- [Conda](https://anaconda.org/conda-forge/opacus) (📥 21K · ⏱️ 19.02.2025):

conda install -c conda-forge opacus

TensorFlow Privacy (🥈25 · ⭐ 1.9K) - Library for training machine learning models with.. Apache-2

- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 60 · 🔀 440 · 📥 190 · 📋 210 - 55% open · ⏱️ 10.02.2025):

git clone https://github.com/tensorflow/privacy

- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 19K / month · 📦 21 · ⏱️ 14.02.2024):

pip install tensorflow-privacy

TFEncrypted (🥉24 · ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2

- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 29 · 🔀 210 · 📦 68 · 📋 440 - 32% open · ⏱️ 25.09.2024):

git clone https://github.com/tf-encrypted/tf-encrypted

- [PyPi](https://pypi.org/project/tf-encrypted) (📥 760 / month · 📦 9 · ⏱️ 16.11.2022):

pip install tf-encrypted

FATE (🥉23 · ⭐ 5.8K) - An Industrial Grade Federated Learning Framework. Apache-2

- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 100 · 🔀 1.6K · 📋 2.1K - 3% open · ⏱️ 19.11.2024):

git clone https://github.com/FederatedAI/FATE

- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):

pip install ETAF

CrypTen (🥉23 · ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT

- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 39 · 🔀 280 · 📦 53 · 📋 280 - 28% open · ⏱️ 23.11.2024):

git clone https://github.com/facebookresearch/CrypTen

- [PyPi](https://pypi.org/project/crypten) (📥 600 / month · 📦 1 · ⏱️ 08.12.2022):

pip install crypten

Show 1 hidden projects...

- PipelineDP (🥉19 · ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2

Workflow & Experiment Tracking¶

Libraries to organize, track, and visualize machine learning experiments.

mlflow (🥇44 · ⭐ 20K) - Open source platform for the machine learning lifecycle. Apache-2

- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 820 · 🔀 4.3K · 📦 53K · 📋 4.4K - 38% open · ⏱️ 20.02.2025):

git clone https://github.com/mlflow/mlflow

- [PyPi](https://pypi.org/project/mlflow) (📥 14M / month · 📦 990 · ⏱️ 13.02.2025):

pip install mlflow

- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 3M · ⏱️ 13.02.2025):

conda install -c conda-forge mlflow

wandb client (🥇42 · ⭐ 9.5K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT

- [GitHub](https://github.com/wandb/wandb) (👨‍💻 210 · 🔀 700 · 📥 620 · 📦 67K · 📋 3.5K - 17% open · ⏱️ 20.02.2025):

git clone https://github.com/wandb/client

- [PyPi](https://pypi.org/project/wandb) (📥 16M / month · 📦 1.6K · ⏱️ 05.02.2025):

pip install wandb

- [Conda](https://anaconda.org/conda-forge/wandb) (📥 950K · ⏱️ 06.02.2025):

conda install -c conda-forge wandb

Tensorboard (🥇42 · ⭐ 6.8K) - TensorFlows Visualization Toolkit. Apache-2

- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 320 · 🔀 1.7K · 📦 290K · 📋 1.9K - 35% open · ⏱️ 18.02.2025):

git clone https://github.com/tensorflow/tensorboard

- [PyPi](https://pypi.org/project/tensorboard) (📥 23M / month · 📦 2.5K · ⏱️ 12.02.2025):

pip install tensorboard

- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 5.4M · ⏱️ 10.12.2024):

conda install -c conda-forge tensorboard

DVC (🥇41 · ⭐ 14K) - Data Versioning and ML Experiments. Apache-2

- [GitHub](https://github.com/iterative/dvc) (👨‍💻 310 · 🔀 1.2K · 📦 21K · 📋 4.8K - 5% open · ⏱️ 09.02.2025):

git clone https://github.com/iterative/dvc

- [PyPi](https://pypi.org/project/dvc) (📥 960K / month · 📦 140 · ⏱️ 15.02.2025):

pip install dvc

- [Conda](https://anaconda.org/conda-forge/dvc) (📥 2.6M · ⏱️ 15.02.2025):

conda install -c conda-forge dvc

SageMaker SDK (🥈40 · ⭐ 2.1K · 📉) - A library for training and deploying machine learning.. Apache-2

- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 470 · 🔀 1.2K · 📦 5.3K · 📋 1.6K - 21% open · ⏱️ 19.02.2025):

git clone https://github.com/aws/sagemaker-python-sdk

- [PyPi](https://pypi.org/project/sagemaker) (📥 23M / month · 📦 170 · ⏱️ 19.02.2025):

pip install sagemaker

- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 1.4M · ⏱️ 20.02.2025):

conda install -c conda-forge sagemaker-python-sdk

PyCaret (🥈36 · ⭐ 9.1K) - An open-source, low-code machine learning library in Python. MIT

- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 140 · 🔀 1.8K · 📥 720 · 📦 7.1K · 📋 2.3K - 16% open · ⏱️ 18.02.2025):

git clone https://github.com/pycaret/pycaret

- [PyPi](https://pypi.org/project/pycaret) (📥 290K / month · 📦 31 · ⏱️ 28.04.2024):

pip install pycaret

- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 64K · ⏱️ 20.01.2025):

conda install -c conda-forge pycaret

Metaflow (🥈35 · ⭐ 8.5K) - Open Source AI/ML Platform. Apache-2

- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 100 · 🔀 790 · 📦 800 · 📋 760 - 42% open · ⏱️ 19.02.2025):

git clone https://github.com/Netflix/metaflow

- [PyPi](https://pypi.org/project/metaflow) (📥 280K / month · 📦 50 · ⏱️ 11.02.2025):

pip install metaflow

- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 270K · ⏱️ 19.02.2025):

conda install -c conda-forge metaflow

tensorboardX (🥈34 · ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT

- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 82 · 🔀 860 · 📥 460 · 📦 54K · 📋 460 - 17% open · ⏱️ 01.01.2025):

git clone https://github.com/lanpa/tensorboardX

- [PyPi](https://pypi.org/project/tensorboardX) (📥 2.5M / month · 📦 620 · ⏱️ 20.08.2023):

pip install tensorboardX

- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.3M · ⏱️ 20.12.2024):

conda install -c conda-forge tensorboardx

snakemake (🥈34 · ⭐ 2.4K) - This is the development home of the workflow management system.. MIT

- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 350 · 🔀 560 · 📦 2.2K · 📋 1.9K - 61% open · ⏱️ 19.02.2025):

git clone https://github.com/snakemake/snakemake

- [PyPi](https://pypi.org/project/snakemake) (📥 64K / month · 📦 260 · ⏱️ 12.02.2025):

pip install snakemake

- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.3M · ⏱️ 12.02.2025):

conda install -c bioconda snakemake

ClearML (🥈33 · ⭐ 5.8K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2

- [GitHub](https://github.com/clearml/clearml) (👨‍💻 100 · 🔀 660 · 📥 3.1K · 📦 1.6K · 📋 1.1K - 46% open · ⏱️ 18.02.2025):

git clone https://github.com/allegroai/clearml

- [PyPi](https://pypi.org/project/clearml) (📥 380K / month · 📦 53 · ⏱️ 05.02.2025):

pip install clearml

- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020):

docker pull allegroai/trains

kaggle (🥈32 · ⭐ 6.4K) - Official Kaggle API. Apache-2

- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 49 · 🔀 1.1K · 📦 21 · 📋 500 - 30% open · ⏱️ 18.02.2025):

git clone https://github.com/Kaggle/kaggle-api

- [PyPi](https://pypi.org/project/kaggle) (📥 250K / month · 📦 230 · ⏱️ 06.02.2025):

pip install kaggle

- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 210K · ⏱️ 13.01.2025):

conda install -c conda-forge kaggle

aim (🥈32 · ⭐ 5.4K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2

- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 80 · 🔀 330 · 📦 810 · 📋 1.1K - 36% open · ⏱️ 18.02.2025):

git clone https://github.com/aimhubio/aim

- [PyPi](https://pypi.org/project/aim) (📥 190K / month · 📦 41 · ⏱️ 17.02.2025):

pip install aim

- [Conda](https://anaconda.org/conda-forge/aim) (📥 110K · ⏱️ 14.06.2024):

conda install -c conda-forge aim

AzureML SDK (🥈32 · ⭐ 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT

- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 64 · 🔀 2.5K · 📥 660 · 📋 1.5K - 26% open · ⏱️ 16.12.2024):

git clone https://github.com/Azure/MachineLearningNotebooks

- [PyPi](https://pypi.org/project/azureml-sdk) (📥 400K / month · 📦 31 · ⏱️ 10.12.2024):

pip install azureml-sdk

VisualDL (🥈29 · ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2

- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 36 · 🔀 630 · 📥 500 · 📦 2 · 📋 500 - 28% open · ⏱️ 22.01.2025):

git clone https://github.com/PaddlePaddle/VisualDL

- [PyPi](https://pypi.org/project/visualdl) (📥 150K / month · 📦 82 · ⏱️ 30.10.2024):

pip install visualdl

sacred (🥈29 · ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT

- [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 110 · 🔀 380 · 📦 3.4K · 📋 560 - 18% open · ⏱️ 26.11.2024):

git clone https://github.com/IDSIA/sacred

- [PyPi](https://pypi.org/project/sacred) (📥 22K / month · 📦 60 · ⏱️ 26.11.2024):

pip install sacred

- [Conda](https://anaconda.org/conda-forge/sacred) (📥 8K · ⏱️ 28.11.2023):

conda install -c conda-forge sacred

Neptune.ai (🥈29 · ⭐ 600) - The experiment tracker for foundation model training. Apache-2

- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 55 · 🔀 64 · 📦 750 · 📋 250 - 13% open · ⏱️ 14.02.2025):

git clone https://github.com/neptune-ai/neptune-client

- [PyPi](https://pypi.org/project/neptune-client) (📥 480K / month · 📦 77 · ⏱️ 31.10.2024):

pip install neptune-client

- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 320K · ⏱️ 31.10.2024):

conda install -c conda-forge neptune-client

livelossplot (🥉28 · ⭐ 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT

- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 1.8K · 📋 79 - 7% open · ⏱️ 03.01.2025):

git clone https://github.com/stared/livelossplot

- [PyPi](https://pypi.org/project/livelossplot) (📥 22K / month · 📦 16 · ⏱️ 03.01.2025):

pip install livelossplot

Labml (🥉27 · ⭐ 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT

- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 140 · 📦 200 · 📋 50 - 12% open · ⏱️ 20.02.2025):

git clone https://github.com/labmlai/labml

- [PyPi](https://pypi.org/project/labml) (📥 3.9K / month · 📦 14 · ⏱️ 15.09.2024):

pip install labml

ml-metadata (🥉26 · ⭐ 640) - For recording and retrieving metadata associated with ML.. Apache-2

- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 21 · 🔀 150 · 📥 3K · 📦 640 · 📋 120 - 38% open · ⏱️ 24.10.2024):

git clone https://github.com/google/ml-metadata

- [PyPi](https://pypi.org/project/ml-metadata) (📥 190K / month · 📦 31 · ⏱️ 01.10.2024):

pip install ml-metadata

TNT (🥉25 · ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3

- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 140 · 🔀 280 · 📋 150 - 56% open · ⏱️ 14.02.2025):

git clone https://github.com/pytorch/tnt

- [PyPi](https://pypi.org/project/torchnet) (📥 4.9K / month · 📦 24 · ⏱️ 29.07.2018):

pip install torchnet

gokart (🥉25 · ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT

- [GitHub](https://github.com/m3dev/gokart) (👨‍💻 44 · 🔀 61 · 📦 84 · 📋 88 - 26% open · ⏱️ 13.02.2025):

git clone https://github.com/m3dev/gokart

- [PyPi](https://pypi.org/project/gokart) (📥 4.6K / month · 📦 8 · ⏱️ 13.01.2025):

pip install gokart

quinn (🥉24 · ⭐ 660) - pyspark methods to enhance developer productivity. Apache-2

- [GitHub](https://github.com/mrpowers-io/quinn) (👨‍💻 31 · 🔀 98 · 📥 56 · 📦 90 · 📋 130 - 27% open · ⏱️ 06.12.2024):

git clone https://github.com/MrPowers/quinn

- [PyPi](https://pypi.org/project/quinn) (📥 710K / month · 📦 7 · ⏱️ 13.02.2024):

pip install quinn

keepsake (🥉18 · ⭐ 1.7K) - Version control for machine learning. Apache-2

- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 18 · 🔀 71 · 📋 190 - 66% open · ⏱️ 03.12.2024):

git clone https://github.com/replicate/keepsake

- [PyPi](https://pypi.org/project/keepsake) (📥 320 / month · 📦 1 · ⏱️ 25.01.2021):

pip install keepsake

CometML (🥉15) - Supercharging Machine Learning. MIT

- [GitHub]():

git clone https://github.com/comet-ml/examples

- [PyPi](https://pypi.org/project/comet_ml) (📥 210K / month · 📦 90 · ⏱️ 17.02.2025):

pip install comet_ml

- [Conda](https://anaconda.org/anaconda/comet_ml):

conda install -c anaconda comet_ml

Show 16 hidden projects...

- Catalyst (🥉28 · ⭐ 3.3K · 💀) - Accelerated deep learning R&D. Apache-2 - knockknock (🥉27 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - Guild AI (🥉23 · ⭐ 880 · 💀) - Experiment tracking, ML developer tools. Apache-2 - hiddenlayer (🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for.. MIT - SKLL (🥉22 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - Studio.ml (🥉22 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. Apache-2 - lore (🥉21 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - TensorWatch (🥉20 · ⭐ 3.4K · 💀) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (🥉20 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (🥉18 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT - chitra (🥉17 · ⭐ 220 · 💤) - A multi-functional library for full-stack Deep Learning... Apache-2 - steppy (🥉17 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (🥉16 · ⭐ 500 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 - ModelChimp (🥉13 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉9 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2

Model Serialization & Deployment¶

Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.

onnx (🥇43 · ⭐ 18K) - Open standard for machine learning interoperability. Apache-2

- [GitHub](https://github.com/onnx/onnx) (👨‍💻 340 · 🔀 3.7K · 📥 23K · 📦 40K · 📋 2.9K - 11% open · ⏱️ 20.02.2025):

git clone https://github.com/onnx/onnx

- [PyPi](https://pypi.org/project/onnx) (📥 5.7M / month · 📦 1.1K · ⏱️ 01.10.2024):

pip install onnx

- [Conda](https://anaconda.org/conda-forge/onnx) (📥 1.6M · ⏱️ 31.12.2024):

conda install -c conda-forge onnx

triton (🥇43 · ⭐ 15K) - Development repository for the Triton language and compiler. MIT

- [GitHub](https://github.com/triton-lang/triton) (👨‍💻 370 · 🔀 1.7K · 📦 54K · 📋 1.6K - 43% open · ⏱️ 20.02.2025):

git clone https://github.com/openai/triton

- [PyPi](https://pypi.org/project/triton) (📥 19M / month · 📦 340 · ⏱️ 22.01.2025):

pip install triton

huggingface_hub (🥈38 · ⭐ 2.4K) - The official Python client for the Huggingface Hub. Apache-2

- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 220 · 🔀 630 · 📋 1.1K - 15% open · ⏱️ 20.02.2025):

git clone https://github.com/huggingface/huggingface_hub

- [PyPi](https://pypi.org/project/huggingface_hub) (📥 62M / month · 📦 2.5K · ⏱️ 20.02.2025):

pip install huggingface_hub

- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 2.7M · ⏱️ 19.02.2025):

conda install -c conda-forge huggingface_hub

Core ML Tools (🥈36 · ⭐ 4.6K) - Core ML tools contain supporting tools for Core ML model.. BSD-3

- [GitHub](https://github.com/apple/coremltools) (👨‍💻 180 · 🔀 660 · 📥 13K · 📦 4.5K · 📋 1.5K - 24% open · ⏱️ 11.02.2025):

git clone https://github.com/apple/coremltools

- [PyPi](https://pypi.org/project/coremltools) (📥 650K / month · 📦 87 · ⏱️ 21.01.2025):

pip install coremltools

- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 89K · ⏱️ 27.12.2024):

conda install -c conda-forge coremltools

BentoML (🥈35 · ⭐ 7.4K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2

- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 220 · 🔀 810 · 📥 540 · 📦 2.4K · 📋 1.1K - 14% open · ⏱️ 20.02.2025):

git clone https://github.com/bentoml/BentoML

- [PyPi](https://pypi.org/project/bentoml) (📥 100K / month · 📦 34 · ⏱️ 20.02.2025):

pip install bentoml

TorchServe (🥈33 · ⭐ 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2

- [GitHub](https://github.com/pytorch/serve) (👨‍💻 220 · 🔀 870 · 📥 7.6K · 📦 820 · 📋 1.7K - 25% open · ⏱️ 13.02.2025):

git clone https://github.com/pytorch/serve

- [PyPi](https://pypi.org/project/torchserve) (📥 57K / month · 📦 22 · ⏱️ 30.09.2024):

pip install torchserve

- [Conda](https://anaconda.org/pytorch/torchserve) (📥 460K · ⏱️ 30.09.2024):

conda install -c pytorch torchserve

- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1.4M · ⭐ 31 · ⏱️ 30.09.2024):

docker pull pytorch/torchserve

hls4ml (🥈29 · ⭐ 1.4K) - Machine learning on FPGAs using HLS. Apache-2

- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 63 · 🔀 420 · 📦 40 · 📋 460 - 41% open · ⏱️ 19.02.2025):

git clone https://github.com/fastmachinelearning/hls4ml

- [PyPi](https://pypi.org/project/hls4ml) (📥 1.6K / month · 📦 1 · ⏱️ 09.12.2024):

pip install hls4ml

- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 9.8K · ⏱️ 16.06.2023):

conda install -c conda-forge hls4ml

Hummingbird (🥈25 · ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT

- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 40 · 🔀 280 · 📥 790 · 📋 330 - 20% open · ⏱️ 24.10.2024):

git clone https://github.com/microsoft/hummingbird

- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 5.2K / month · 📦 7 · ⏱️ 25.10.2024):

pip install hummingbird-ml

- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 55K · ⏱️ 20.11.2024):

conda install -c conda-forge hummingbird-ml

nebullvm (🥉21 · ⭐ 8.4K · 💤) - A collection of libraries to optimise AI model performances. Apache-2

- [GitHub](https://github.com/nebuly-ai/optimate) (👨‍💻 40 · 🔀 630 · 📋 200 - 49% open · ⏱️ 22.07.2024):

git clone https://github.com/nebuly-ai/nebullvm

- [PyPi](https://pypi.org/project/nebullvm) (📥 620 / month · 📦 2 · ⏱️ 18.06.2023):

pip install nebullvm

tfdeploy (🥉17 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3

- [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 04.01.2025):

git clone https://github.com/riga/tfdeploy

- [PyPi](https://pypi.org/project/tfdeploy) (📥 290 / month · ⏱️ 30.03.2017):

pip install tfdeploy

Show 10 hidden projects...

- mmdnn (🥈25 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (🥈25 · ⭐ 2.8K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (🥉23 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (🥉20 · ⭐ 300) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - Larq Compute Engine (🥉20 · ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (🥉19 · ⭐ 860 · 💀) - PyTorch to Keras model convertor. MIT - modelkit (🥉17 · ⭐ 150 · 💤) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉15 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (🥉13 · ⭐ 2.6K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

Model Interpretability¶

Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.

shap (🥇41 · ⭐ 23K) - A game theoretic approach to explain the output of any machine learning model. MIT

- [GitHub](https://github.com/shap/shap) (👨‍💻 260 · 🔀 3.3K · 📦 26K · 📋 2.6K - 26% open · ⏱️ 14.02.2025):

git clone https://github.com/slundberg/shap

- [PyPi](https://pypi.org/project/shap) (📥 8.3M / month · 📦 750 · ⏱️ 27.06.2024):

pip install shap

- [Conda](https://anaconda.org/conda-forge/shap) (📥 5.1M · ⏱️ 10.12.2024):

conda install -c conda-forge shap

Netron (🥇37 · ⭐ 29K) - Visualizer for neural network, deep learning and machine learning.. MIT

- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.8K · 📥 84K · 📦 650 · 📋 1.2K - 1% open · ⏱️ 19.02.2025):

git clone https://github.com/lutzroeder/netron

- [PyPi](https://pypi.org/project/netron) (📥 28K / month · 📦 83 · ⏱️ 14.02.2025):

pip install netron

arviz (🥇36 · ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2

- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 170 · 🔀 420 · 📥 180 · 📦 9.2K · 📋 880 - 20% open · ⏱️ 18.02.2025):

git clone https://github.com/arviz-devs/arviz

- [PyPi](https://pypi.org/project/arviz) (📥 1.7M / month · 📦 310 · ⏱️ 28.09.2024):

pip install arviz

- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.3M · ⏱️ 13.12.2024):

conda install -c conda-forge arviz

InterpretML (🥇34 · ⭐ 6.4K) - Fit interpretable models. Explain blackbox machine learning. MIT

- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 48 · 🔀 740 · 📦 830 · 📋 460 - 22% open · ⏱️ 17.02.2025):

git clone https://github.com/interpretml/interpret

- [PyPi](https://pypi.org/project/interpret) (📥 170K / month · 📦 50 · ⏱️ 06.01.2025):

pip install interpret

Captum (🥇34 · ⭐ 5.1K) - Model interpretability and understanding for PyTorch. BSD-3

- [GitHub](https://github.com/pytorch/captum) (👨‍💻 120 · 🔀 500 · 📦 2.9K · 📋 590 - 41% open · ⏱️ 20.02.2025):

git clone https://github.com/pytorch/captum

- [PyPi](https://pypi.org/project/captum) (📥 250K / month · 📦 130 · ⏱️ 05.12.2023):

pip install captum

- [Conda](https://anaconda.org/conda-forge/captum) (📥 110K · ⏱️ 14.01.2025):

conda install -c conda-forge captum

evaluate (🥈32 · ⭐ 2.1K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2

- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 130 · 🔀 260 · 📦 17K · 📋 360 - 60% open · ⏱️ 10.01.2025):

git clone https://github.com/huggingface/evaluate

- [PyPi](https://pypi.org/project/evaluate) (📥 2.5M / month · 📦 400 · ⏱️ 11.09.2024):

pip install evaluate

shapash (🥈31 · ⭐ 2.8K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2

- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 40 · 🔀 330 · 📦 190 · 📋 230 - 17% open · ⏱️ 13.02.2025):

git clone https://github.com/MAIF/shapash

- [PyPi](https://pypi.org/project/shapash) (📥 9K / month · 📦 4 · ⏱️ 13.02.2025):

pip install shapash

explainerdashboard (🥈31 · ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT

- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 21 · 🔀 330 · 📦 600 · 📋 240 - 15% open · ⏱️ 29.12.2024):

git clone https://github.com/oegedijk/explainerdashboard

- [PyPi](https://pypi.org/project/explainerdashboard) (📥 69K / month · 📦 13 · ⏱️ 29.12.2024):

pip install explainerdashboard

- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 61K · ⏱️ 18.03.2024):

conda install -c conda-forge explainerdashboard

fairlearn (🥈30 · ⭐ 2K) - A Python package to assess and improve fairness of machine learning.. MIT

- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 94 · 🔀 430 · 📦 3 · 📋 510 - 31% open · ⏱️ 20.02.2025):

git clone https://github.com/fairlearn/fairlearn

- [PyPi](https://pypi.org/project/fairlearn) (📥 130K / month · 📦 63 · ⏱️ 11.12.2024):

pip install fairlearn

- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 42K · ⏱️ 02.01.2025):

conda install -c conda-forge fairlearn

pyLDAvis (🥈30 · ⭐ 1.8K · 💤) - Python library for interactive topic model visualization... BSD-3

- [GitHub](https://github.com/bmabey/pyLDAvis) (👨‍💻 42 · 🔀 360 · 📦 6.9K · 📋 190 - 40% open · ⏱️ 29.04.2024):

git clone https://github.com/bmabey/pyLDAvis

- [PyPi](https://pypi.org/project/pyldavis) (📥 120K / month · 📦 100 · ⏱️ 23.04.2023):

pip install pyldavis

- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 92K · ⏱️ 14.01.2025):

conda install -c conda-forge pyldavis

DoWhy (🥈28 · ⭐ 7.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT

- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 100 · 🔀 940 · 📥 42 · 📦 520 · 📋 490 - 27% open · ⏱️ 21.01.2025):

git clone https://github.com/py-why/dowhy

- [PyPi](https://pypi.org/project/dowhy) (📥 42K / month · 📦 18 · ⏱️ 24.11.2024):

pip install dowhy

- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 39K · ⏱️ 25.11.2024):

conda install -c conda-forge dowhy

dtreeviz (🥈28 · ⭐ 3K) - A python library for decision tree visualization and model interpretation. MIT

- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 27 · 🔀 340 · 📦 1.4K · 📋 210 - 34% open · ⏱️ 29.08.2024):

git clone https://github.com/parrt/dtreeviz

- [PyPi](https://pypi.org/project/dtreeviz) (📥 120K / month · 📦 53 · ⏱️ 07.07.2022):

pip install dtreeviz

- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 98K · ⏱️ 13.07.2023):

conda install -c conda-forge dtreeviz

Model Analysis (🥈28 · ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 59 · 🔀 280 · 📋 97 - 39% open · ⏱️ 13.02.2025):

git clone https://github.com/tensorflow/model-analysis

- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 92K / month · 📦 19 · ⏱️ 05.12.2024):

pip install tensorflow-model-analysis

LIT (🥈27 · ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2

- [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 38 · 🔀 360 · 📦 42 · 📋 210 - 57% open · ⏱️ 20.12.2024):

git clone https://github.com/PAIR-code/lit

- [PyPi](https://pypi.org/project/lit-nlp) (📥 2.5K / month · 📦 3 · ⏱️ 20.12.2024):

pip install lit-nlp

- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 110K · ⏱️ 16.06.2023):

conda install -c conda-forge lit-nlp

Fairness 360 (🥈26 · ⭐ 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 73 · 🔀 840 · 📦 570 · 📋 300 - 65% open · ⏱️ 10.12.2024):

git clone https://github.com/Trusted-AI/AIF360

- [PyPi](https://pypi.org/project/aif360) (📥 21K / month · 📦 32 · ⏱️ 08.04.2024):

pip install aif360

- [Conda](https://anaconda.org/conda-forge/aif360) (📥 20K · ⏱️ 05.01.2025):

conda install -c conda-forge aif360

imodels (🥈26 · ⭐ 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT

- [GitHub](https://github.com/csinva/imodels) (👨‍💻 25 · 🔀 120 · 📦 110 · 📋 95 - 38% open · ⏱️ 18.02.2025):

git clone https://github.com/csinva/imodels

- [PyPi](https://pypi.org/project/imodels) (📥 24K / month · 📦 9 · ⏱️ 15.10.2024):

pip install imodels

responsible-ai-widgets (🥉25 · ⭐ 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT

- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 43 · 🔀 380 · 📋 320 - 26% open · ⏱️ 07.02.2025):

git clone https://github.com/microsoft/responsible-ai-toolbox

- [PyPi](https://pypi.org/project/raiwidgets) (📥 7.3K / month · 📦 6 · ⏱️ 08.07.2024):

pip install raiwidgets

CausalNex (🥉24 · ⭐ 2.3K · 💤) - A Python library that helps data scientists to infer.. Apache-2

- [GitHub](https://github.com/mckinsey/causalnex) (👨‍💻 40 · 🔀 260 · 📦 140 · 📋 140 - 17% open · ⏱️ 10.02.2024):

git clone https://github.com/quantumblacklabs/causalnex

- [PyPi](https://pypi.org/project/causalnex) (📥 2.5K / month · 📦 4 · ⏱️ 22.06.2023):

pip install causalnex

Explainability 360 (🥉24 · ⭐ 1.7K · 💤) - Interpretability and explainability of data and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 41 · 🔀 300 · 📦 110 · 📋 85 - 63% open · ⏱️ 16.07.2024):

git clone https://github.com/Trusted-AI/AIX360

- [PyPi](https://pypi.org/project/aix360) (📥 1.1K / month · 📦 1 · ⏱️ 31.07.2023):

pip install aix360

aequitas (🥉23 · ⭐ 710) - Bias Auditing & Fair ML Toolkit. MIT

- [GitHub](https://github.com/dssg/aequitas) (👨‍💻 22 · 🔀 120 · 📦 180 · 📋 99 - 51% open · ⏱️ 11.09.2024):

git clone https://github.com/dssg/aequitas

- [PyPi](https://pypi.org/project/aequitas) (📥 25K / month · 📦 8 · ⏱️ 30.01.2024):

pip install aequitas

What-If Tool (🥉22 · ⭐ 940 · 💤) - Source code/webpage/demos for the What-If Tool. Apache-2

- [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 20 · 🔀 170 · 📦 2 · 📋 150 - 61% open · ⏱️ 01.02.2024):

git clone https://github.com/PAIR-code/what-if-tool

- [PyPi](https://pypi.org/project/witwidget) (📥 7.7K / month · 📦 6 · ⏱️ 12.10.2021):

pip install witwidget

- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (📥 2.4M · ⏱️ 16.06.2023):

conda install -c conda-forge tensorboard-plugin-wit

- [npm](https://www.npmjs.com/package/wit-widget) (📥 350 / month · 📦 3 · ⏱️ 12.10.2021):

npm install wit-widget

random-forest-importances (🥉22 · ⭐ 610) - Code to compute permutation and drop-column.. MIT

- [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 15 · 🔀 130 · 📦 180 · 📋 39 - 20% open · ⏱️ 29.09.2024):

git clone https://github.com/parrt/random-forest-importances

- [PyPi](https://pypi.org/project/rfpimp) (📥 12K / month · 📦 5 · ⏱️ 28.01.2021):

pip install rfpimp

ecco (🥉21 · ⭐ 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3

- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 12 · 🔀 160 · 📥 140 · 📦 32 · 📋 64 - 51% open · ⏱️ 15.08.2024):

git clone https://github.com/jalammar/ecco

- [PyPi](https://pypi.org/project/ecco) (📥 750 / month · 📦 1 · ⏱️ 09.01.2022):

pip install ecco

- [Conda](https://anaconda.org/conda-forge/ecco) (📥 6.2K · ⏱️ 16.06.2023):

conda install -c conda-forge ecco

fairness-indicators (🥉21 · ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2

- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 36 · 🔀 80 · 📋 39 - 74% open · ⏱️ 22.01.2025):

git clone https://github.com/tensorflow/fairness-indicators

- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.5K / month · ⏱️ 22.01.2025):

pip install fairness-indicators

DiCE (🥉20 · ⭐ 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT

- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 19 · 🔀 190 · 📋 180 - 48% open · ⏱️ 22.11.2024):

git clone https://github.com/interpretml/DiCE

- [PyPi](https://pypi.org/project/dice-ml) (📥 31K / month · 📦 6 · ⏱️ 27.10.2023):

pip install dice-ml

LOFO (🥉19 · ⭐ 830) - Leave One Feature Out Importance. MIT

- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 6 · 🔀 87 · 📦 37 · 📋 30 - 13% open · ⏱️ 14.02.2025):

git clone https://github.com/aerdem4/lofo-importance

- [PyPi](https://pypi.org/project/lofo-importance) (📥 4.4K / month · 📦 5 · ⏱️ 14.02.2025):

pip install lofo-importance

ExplainX.ai (🥉15 · ⭐ 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT

- [GitHub](https://github.com/explainX/explainx) (👨‍💻 5 · 🔀 53 · 📥 20 · 📋 39 - 25% open · ⏱️ 21.08.2024):

git clone https://github.com/explainX/explainx

- [PyPi](https://pypi.org/project/explainx) (📥 890 / month · ⏱️ 04.02.2021):

pip install explainx

interpret-text (🥉14 · ⭐ 420 · 💤) - A library that incorporates state-of-the-art explainers.. MIT

- [GitHub](https://github.com/interpretml/interpret-text) (👨‍💻 18 · 🔀 69 · 📋 100 - 84% open · ⏱️ 05.02.2024):

git clone https://github.com/interpretml/interpret-text

- [PyPi](https://pypi.org/project/interpret-text) (📥 120 / month · ⏱️ 07.12.2021):

pip install interpret-text

Show 26 hidden projects...

- Lime (🥇33 · ⭐ 12K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (🥈29 · ⭐ 3.7K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - yellowbrick (🥈27 · ⭐ 4.3K · 💀) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - Alibi (🥈27 · ⭐ 2.4K) - Algorithms for explaining machine learning models. ❗️Intel - scikit-plot (🥈27 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT - DALEX (🥈27 · ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (🥈26 · ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (🥉25 · ⭐ 4.7K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 - keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT - iNNvestigate (🥉25 · ⭐ 1.3K · 💀) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - checklist (🥉24 · ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keract (🥉23 · ⭐ 1.1K · 💀) - Layers Outputs and Gradients in Keras. Made easy. MIT - TreeInterpreter (🥉23 · ⭐ 750 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - Quantus (🥉23 · ⭐ 580) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (🥉21 · ⭐ 850 · 💀) - Public facing deeplift repo. MIT - tcav (🥉20 · ⭐ 630 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - XAI (🥉19 · ⭐ 1.2K · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - sklearn-evaluation (🥉18 · ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,.. MIT - model-card-toolkit (🥉18 · ⭐ 430 · 💀) - A toolkit that streamlines and automates the.. Apache-2 - Anchor (🥉16 · ⭐ 800 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (🥉16 · ⭐ 740 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - Skater (🥉14 · ⭐ 1.1K · 💀) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Attribution Priors (🥉13 · ⭐ 120 · 💀) - Tools for training explainable models using.. MIT - bias-detector (🥉13 · ⭐ 43 · 💤) - Bias Detector is a python package for detecting bias in machine.. MIT - contextual-ai (🥉12 · ⭐ 86 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2

Vector Similarity Search (ANN)¶

Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.

🔗 ANN Benchmarks ( ⭐ 5.1K) - Benchmarks of approximate nearest neighbor libraries in Python.

Milvus (🥇42 · ⭐ 33K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2

- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 300 · 🔀 3K · 📥 310K · 📋 13K - 5% open · ⏱️ 20.02.2025):

git clone https://github.com/milvus-io/milvus

- [PyPi](https://pypi.org/project/pymilvus) (📥 1.6M / month · 📦 210 · ⏱️ 22.01.2025):

pip install pymilvus

- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 68M · ⭐ 72 · ⏱️ 20.02.2025):

docker pull milvusdb/milvus

Faiss (🥇41 · ⭐ 33K) - A library for efficient similarity search and clustering of dense vectors. MIT

- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 210 · 🔀 3.7K · 📦 4.4K · 📋 2.6K - 9% open · ⏱️ 20.02.2025):

git clone https://github.com/facebookresearch/faiss

- [PyPi](https://pypi.org/project/pymilvus) (📥 1.6M / month · 📦 210 · ⏱️ 22.01.2025):

pip install pymilvus

- [Conda](https://anaconda.org/conda-forge/faiss) (📥 2.2M · ⏱️ 20.12.2024):

conda install -c conda-forge faiss

Annoy (🥈34 · ⭐ 14K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2

- [GitHub](https://github.com/spotify/annoy) (👨‍💻 88 · 🔀 1.2K · 📦 4.8K · 📋 410 - 15% open · ⏱️ 29.07.2024):

git clone https://github.com/spotify/annoy

- [PyPi](https://pypi.org/project/annoy) (📥 830K / month · 📦 200 · ⏱️ 14.06.2023):

pip install annoy

- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 650K · ⏱️ 05.09.2024):

conda install -c conda-forge python-annoy

hnswlib (🥈31 · ⭐ 4.6K · 💤) - Header-only C++/python library for fast approximate nearest.. Apache-2

- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 72 · 🔀 670 · 📦 7.6K · 📋 410 - 60% open · ⏱️ 17.06.2024):

git clone https://github.com/nmslib/hnswlib

- [PyPi](https://pypi.org/project/hnswlib) (📥 660K / month · 📦 130 · ⏱️ 03.12.2023):

pip install hnswlib

- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 320K · ⏱️ 20.11.2024):

conda install -c conda-forge hnswlib

USearch (🥈31 · ⭐ 2.5K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2

- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 63 · 🔀 160 · 📥 52K · 📦 160 · 📋 200 - 40% open · ⏱️ 07.02.2025):

git clone https://github.com/unum-cloud/usearch

- [PyPi](https://pypi.org/project/usearch) (📥 170K / month · 📦 27 · ⏱️ 29.12.2024):

pip install usearch

- [npm](https://www.npmjs.com/package/usearch) (📥 9.9K / month · 📦 15 · ⏱️ 23.01.2025):

npm install usearch

- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 170 · ⭐ 1 · ⏱️ 21.11.2024):

docker pull unum/usearch

NMSLIB (🥉30 · ⭐ 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2

- [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 49 · 🔀 450 · 📦 1.3K · 📋 440 - 20% open · ⏱️ 21.09.2024):

git clone https://github.com/nmslib/nmslib

- [PyPi](https://pypi.org/project/nmslib) (📥 410K / month · 📦 63 · ⏱️ 03.02.2021):

pip install nmslib

- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 180K · ⏱️ 09.09.2024):

conda install -c conda-forge nmslib

PyNNDescent (🥉28 · ⭐ 910) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2

- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 29 · 🔀 110 · 📦 9.5K · 📋 140 - 52% open · ⏱️ 10.11.2024):

git clone https://github.com/lmcinnes/pynndescent

- [PyPi](https://pypi.org/project/pynndescent) (📥 1.7M / month · 📦 160 · ⏱️ 17.06.2024):

pip install pynndescent

- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 2.2M · ⏱️ 14.12.2024):

conda install -c conda-forge pynndescent

NGT (🥉24 · ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2

- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 16 · 🔀 120 · 📋 140 - 14% open · ⏱️ 29.01.2025):

git clone https://github.com/yahoojapan/NGT

- [PyPi](https://pypi.org/project/ngt) (📥 3.1K / month · 📦 12 · ⏱️ 23.01.2025):

pip install ngt

Show 4 hidden projects...

- NearPy (🥉21 · ⭐ 770 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - Magnitude (🥉20 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package. MIT - N2 (🥉20 · ⭐ 570 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - PySparNN (🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

Probabilistics & Statistics¶

Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.

PyMC3 (🥇41 · ⭐ 8.9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2

- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 510 · 🔀 2K · 📥 2K · 📦 5.6K · 📋 3.4K - 10% open · ⏱️ 10.02.2025):

git clone https://github.com/pymc-devs/pymc

- [PyPi](https://pypi.org/project/pymc3) (📥 300K / month · 📦 190 · ⏱️ 31.05.2024):

pip install pymc3

- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 640K · ⏱️ 21.12.2024):

conda install -c conda-forge pymc3

tensorflow-probability (🥇37 · ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2

- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 500 · 🔀 1.1K · 📦 3 · 📋 1.5K - 48% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/probability

- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 1M / month · 📦 620 · ⏱️ 08.11.2024):

pip install tensorflow-probability

- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 170K · ⏱️ 20.02.2025):

conda install -c conda-forge tensorflow-probability

patsy (🥇34 · ⭐ 960) - Describing statistical models in Python using symbolic formulas. BSD-2

- [GitHub](https://github.com/pydata/patsy) (👨‍💻 22 · 🔀 100 · 📦 120K · 📋 160 - 46% open · ⏱️ 11.02.2025):

git clone https://github.com/pydata/patsy

- [PyPi](https://pypi.org/project/patsy) (📥 15M / month · 📦 530 · ⏱️ 12.11.2024):

pip install patsy

- [Conda](https://anaconda.org/conda-forge/patsy) (📥 14M · ⏱️ 10.12.2024):

conda install -c conda-forge patsy

pgmpy (🥈33 · ⭐ 2.8K) - Python Library for learning (Structure and Parameter), inference.. MIT

- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 140 · 🔀 720 · 📥 590 · 📦 1.4K · 📋 970 - 30% open · ⏱️ 18.02.2025):

git clone https://github.com/pgmpy/pgmpy

- [PyPi](https://pypi.org/project/pgmpy) (📥 79K / month · 📦 53 · ⏱️ 09.08.2024):

pip install pgmpy

Pyro (🥈32 · ⭐ 8.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2

- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 16.02.2025):

git clone https://github.com/pyro-ppl/pyro

- [PyPi](https://pypi.org/project/pyro-ppl) (📥 330K / month · 📦 190 · ⏱️ 02.06.2024):

pip install pyro-ppl

- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 220K · ⏱️ 18.12.2024):

conda install -c conda-forge pyro-ppl

GPyTorch (🥈32 · ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT

- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 140 · 🔀 560 · 📦 2.7K · 📋 1.4K - 27% open · ⏱️ 07.02.2025):

git clone https://github.com/cornellius-gp/gpytorch

- [PyPi](https://pypi.org/project/gpytorch) (📥 280K / month · 📦 190 · ⏱️ 29.01.2025):

pip install gpytorch

- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 190K · ⏱️ 02.02.2025):

conda install -c conda-forge gpytorch

pandas-ta (🥈31 · ⭐ 5.8K · 💤) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT

- [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 45 · 🔀 1.1K · 📦 4.8K · 📋 620 - 17% open · ⏱️ 24.06.2024):

git clone https://github.com/twopirllc/pandas-ta

- [PyPi](https://pypi.org/project/pandas-ta) (📥 160K / month · 📦 140 · ⏱️ 28.07.2021):

pip install pandas-ta

- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 24K · ⏱️ 19.01.2025):

conda install -c conda-forge pandas-ta

hmmlearn (🥈30 · ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3

- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 49 · 🔀 740 · 📦 3.1K · 📋 450 - 15% open · ⏱️ 31.10.2024):

git clone https://github.com/hmmlearn/hmmlearn

- [PyPi](https://pypi.org/project/hmmlearn) (📥 140K / month · 📦 92 · ⏱️ 31.10.2024):

pip install hmmlearn

- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 340K · ⏱️ 31.10.2024):

conda install -c conda-forge hmmlearn

emcee (🥈30 · ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT

- [GitHub](https://github.com/dfm/emcee) (👨‍💻 75 · 🔀 430 · 📦 2.8K · 📋 300 - 19% open · ⏱️ 16.02.2025):

git clone https://github.com/dfm/emcee

- [PyPi](https://pypi.org/project/emcee) (📥 120K / month · 📦 440 · ⏱️ 19.04.2024):

pip install emcee

- [Conda](https://anaconda.org/conda-forge/emcee) (📥 390K · ⏱️ 13.12.2024):

conda install -c conda-forge emcee

GPflow (🥉29 · ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2

- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 84 · 🔀 440 · 📦 730 · 📋 840 - 18% open · ⏱️ 29.01.2025):

git clone https://github.com/GPflow/GPflow

- [PyPi](https://pypi.org/project/gpflow) (📥 63K / month · 📦 35 · ⏱️ 17.06.2024):

pip install gpflow

- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 41K · ⏱️ 26.06.2024):

conda install -c conda-forge gpflow

bambi (🥉28 · ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT

- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 46 · 🔀 130 · 📦 180 · 📋 430 - 20% open · ⏱️ 21.01.2025):

git clone https://github.com/bambinos/bambi

- [PyPi](https://pypi.org/project/bambi) (📥 33K / month · 📦 14 · ⏱️ 21.12.2024):

pip install bambi

- [Conda](https://anaconda.org/conda-forge/bambi) (📥 44K · ⏱️ 23.12.2024):

conda install -c conda-forge bambi

SALib (🥉28 · ⭐ 900) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT

- [GitHub](https://github.com/SALib/SALib) (👨‍💻 50 · 🔀 240 · 📦 1.4K · 📋 340 - 15% open · ⏱️ 06.01.2025):

git clone https://github.com/SALib/SALib

- [PyPi](https://pypi.org/project/salib) (📥 220K / month · 📦 130 · ⏱️ 19.08.2024):

pip install salib

- [Conda](https://anaconda.org/conda-forge/salib) (📥 200K · ⏱️ 27.12.2024):

conda install -c conda-forge salib

pomegranate (🥉27 · ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT

- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 75 · 🔀 590 · 📋 790 - 3% open · ⏱️ 07.02.2025):

git clone https://github.com/jmschrei/pomegranate

- [PyPi](https://pypi.org/project/pomegranate) (📥 15K / month · 📦 67 · ⏱️ 07.02.2025):

pip install pomegranate

- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 200K · ⏱️ 22.12.2024):

conda install -c conda-forge pomegranate

PyStan (🥉27 · ⭐ 350 · 💤) - PyStan, a Python interface to Stan, a platform for statistical.. ISC

- [GitHub](https://github.com/stan-dev/pystan) (👨‍💻 14 · 🔀 60 · 📦 10K · 📋 200 - 6% open · ⏱️ 03.07.2024):

git clone https://github.com/stan-dev/pystan

- [PyPi](https://pypi.org/project/pystan) (📥 740K / month · 📦 160 · ⏱️ 03.07.2024):

pip install pystan

- [Conda](https://anaconda.org/conda-forge/pystan) (📥 3M · ⏱️ 16.06.2023):

conda install -c conda-forge pystan

scikit-posthocs (🥉26 · ⭐ 360) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT

- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 15 · 🔀 40 · 📥 66 · 📦 1K · 📋 63 - 4% open · ⏱️ 18.12.2024):

git clone https://github.com/maximtrp/scikit-posthocs

- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 86K / month · 📦 63 · ⏱️ 18.12.2024):

pip install scikit-posthocs

- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 1M · ⏱️ 23.12.2024):

conda install -c conda-forge scikit-posthocs

Orbit (🥉24 · ⭐ 1.9K · 💤) - A Python package for Bayesian forecasting with object-oriented.. Apache-2

- [GitHub](https://github.com/uber/orbit) (👨‍💻 20 · 🔀 140 · 📦 67 · 📋 400 - 12% open · ⏱️ 10.07.2024):

git clone https://github.com/uber/orbit

- [PyPi](https://pypi.org/project/orbit-ml) (📥 8.8K / month · 📦 1 · ⏱️ 01.04.2024):

pip install orbit-ml

TorchUncertainty (🥉23 · ⭐ 350) - Open-source framework for uncertainty and deep.. Apache-2

- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (👨‍💻 10 · 🔀 24 · 📋 40 - 27% open · ⏱️ 21.01.2025):

git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty

- [PyPi](https://pypi.org/project/torch-uncertainty) (📥 1.5K / month · 📦 3 · ⏱️ 21.01.2025):

pip install torch-uncertainty

Baal (🥉21 · ⭐ 890 · 💤) - Bayesian active learning library for research and industrial usecases. Apache-2

- [GitHub](https://github.com/baal-org/baal) (👨‍💻 23 · 🔀 87 · 📦 66 · 📋 110 - 17% open · ⏱️ 27.06.2024):

git clone https://github.com/baal-org/baal

- [PyPi](https://pypi.org/project/baal) (📥 1.4K / month · 📦 2 · ⏱️ 11.06.2024):

pip install baal

- [Conda](https://anaconda.org/conda-forge/baal) (📥 12K · ⏱️ 12.06.2023):

conda install -c conda-forge baal

pyhsmm (🥉21 · ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT

- [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 14 · 🔀 170 · 📦 34 · 📋 100 - 39% open · ⏱️ 25.01.2025):

git clone https://github.com/mattjj/pyhsmm

- [PyPi](https://pypi.org/project/pyhsmm) (📥 240 / month · 📦 1 · ⏱️ 10.05.2017):

pip install pyhsmm

Show 5 hidden projects...

- filterpy (🥈32 · ⭐ 3.5K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (🥈30 · ⭐ 1.7K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (🥉20 · ⭐ 240 · 💀) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

Adversarial Robustness¶

Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.

ART (🥇34 · ⭐ 5.1K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT

- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 140 · 🔀 1.2K · 📦 660 · 📋 900 - 2% open · ⏱️ 04.02.2025):

git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox

- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 26K / month · 📦 20 · ⏱️ 22.01.2025):

pip install adversarial-robustness-toolbox

- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 65K · ⏱️ 22.01.2025):

conda install -c conda-forge adversarial-robustness-toolbox

TextAttack (🥈27 · ⭐ 3.1K · 💤) - TextAttack is a Python framework for adversarial attacks, data.. MIT

- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 66 · 🔀 400 · 📦 350 · 📋 290 - 23% open · ⏱️ 25.07.2024):

git clone https://github.com/QData/TextAttack

- [PyPi](https://pypi.org/project/textattack) (📥 4.9K / month · 📦 11 · ⏱️ 11.03.2024):

pip install textattack

- [Conda](https://anaconda.org/conda-forge/textattack) (📥 9.5K · ⏱️ 16.06.2023):

conda install -c conda-forge textattack

Foolbox (🥈27 · ⭐ 2.8K · 💤) - A Python toolbox to create adversarial examples that fool neural.. MIT

- [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 35 · 🔀 420 · 📦 680 · 📋 380 - 7% open · ⏱️ 04.03.2024):

git clone https://github.com/bethgelab/foolbox

- [PyPi](https://pypi.org/project/foolbox) (📥 4.3K / month · 📦 14 · ⏱️ 04.03.2024):

pip install foolbox

- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 17K · ⏱️ 16.06.2023):

conda install -c conda-forge foolbox

Show 6 hidden projects...

- CleverHans (🥈29 · ⭐ 6.3K · 💀) - An adversarial example library for constructing attacks,.. MIT - advertorch (🥉22 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - AdvBox (🥉19 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - robustness (🥉19 · ⭐ 930 · 💀) - A library for experimenting with, training and evaluating neural.. MIT - textflint (🥉17 · ⭐ 640 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (🥉15 · ⭐ 400 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

GPU & Accelerator Utilities¶

Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.

CuPy (🥇38 · ⭐ 9.9K) - NumPy & SciPy for GPU. MIT

- [GitHub](https://github.com/cupy/cupy) (👨‍💻 400 · 🔀 860 · 📥 200K · 📦 2.5K · 📋 2.4K - 25% open · ⏱️ 20.02.2025):

git clone https://github.com/cupy/cupy

- [PyPi](https://pypi.org/project/cupy) (📥 36K / month · 📦 270 · ⏱️ 22.08.2024):

pip install cupy

- [Conda](https://anaconda.org/conda-forge/cupy) (📥 5.8M · ⏱️ 18.10.2024):

conda install -c conda-forge cupy

- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 76K · ⭐ 13 · ⏱️ 22.08.2024):

docker pull cupy/cupy

optimum (🥇36 · ⭐ 2.8K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2

- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 140 · 🔀 490 · 📦 4.6K · 📋 880 - 46% open · ⏱️ 20.02.2025):

git clone https://github.com/huggingface/optimum

- [PyPi](https://pypi.org/project/optimum) (📥 880K / month · 📦 200 · ⏱️ 30.01.2025):

pip install optimum

- [Conda](https://anaconda.org/conda-forge/optimum) (📥 33K · ⏱️ 29.05.2024):

conda install -c conda-forge optimum

cuDF (🥈35 · ⭐ 8.7K) - cuDF - GPU DataFrame Library. Apache-2

- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 300 · 🔀 930 · 📦 59 · 📋 6.8K - 15% open · ⏱️ 20.02.2025):

git clone https://github.com/rapidsai/cudf

- [PyPi](https://pypi.org/project/cudf) (📥 3.6K / month · 📦 22 · ⏱️ 01.06.2020):

pip install cudf

Apex (🥈31 · ⭐ 8.5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3

- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 130 · 🔀 1.4K · 📦 3K · 📋 1.3K - 58% open · ⏱️ 05.02.2025):

git clone https://github.com/NVIDIA/apex

- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 440K · ⏱️ 15.02.2025):

conda install -c conda-forge nvidia-apex

cuML (🥈31 · ⭐ 4.4K) - cuML - RAPIDS Machine Learning Library. Apache-2

- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 180 · 🔀 550 · 📋 2.6K - 36% open · ⏱️ 20.02.2025):

git clone https://github.com/rapidsai/cuml

- [PyPi](https://pypi.org/project/cuml) (📥 3.6K / month · 📦 14 · ⏱️ 01.06.2020):

pip install cuml

PyCUDA (🥈30 · ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT

- [GitHub](https://github.com/inducer/pycuda) (👨‍💻 82 · 🔀 290 · 📦 3.4K · 📋 280 - 30% open · ⏱️ 07.02.2025):

git clone https://github.com/inducer/pycuda

- [PyPi](https://pypi.org/project/pycuda) (📥 84K / month · 📦 170 · ⏱️ 07.02.2025):

pip install pycuda

- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 890K · ⏱️ 17.08.2024):

conda install -c conda-forge pycuda

ArrayFire (🥈28 · ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3

- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 96 · 🔀 530 · 📥 7.9K · 📋 1.7K - 19% open · ⏱️ 17.02.2025):

git clone https://github.com/arrayfire/arrayfire

- [PyPi](https://pypi.org/project/arrayfire) (📥 3.8K / month · 📦 10 · ⏱️ 22.02.2022):

pip install arrayfire

cuGraph (🥉27 · ⭐ 1.9K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2

- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 120 · 🔀 310 · 📋 1.8K - 9% open · ⏱️ 20.02.2025):

git clone https://github.com/rapidsai/cugraph

- [PyPi](https://pypi.org/project/cugraph) (📥 320 / month · 📦 4 · ⏱️ 01.06.2020):

pip install cugraph

- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 28K · ⏱️ 16.06.2023):

conda install -c conda-forge libcugraph

DALI (🥉25 · ⭐ 5.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2

- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 95 · 🔀 630 · 📋 1.7K - 14% open · ⏱️ 20.02.2025):

git clone https://github.com/NVIDIA/DALI

Vulkan Kompute (🥉22 · ⭐ 2.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2

- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 31 · 🔀 150 · 📥 630 · 📋 220 - 32% open · ⏱️ 18.02.2025):

git clone https://github.com/KomputeProject/kompute

- [PyPi](https://pypi.org/project/kp) (📥 430 / month · ⏱️ 20.01.2024):

pip install kp

Merlin (🥉21 · ⭐ 800 · 💤) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2

- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 32 · 🔀 120 · 📋 460 - 46% open · ⏱️ 22.07.2024):

git clone https://github.com/NVIDIA-Merlin/Merlin

- [PyPi](https://pypi.org/project/merlin-core) (📥 15K / month · 📦 1 · ⏱️ 29.08.2023):

pip install merlin-core

Show 9 hidden projects...

- gpustat (🥈30 · ⭐ 4.1K · 💀) - A simple command-line utility for querying and monitoring GPU status. MIT - GPUtil (🥉25 · ⭐ 1.2K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (🥉24 · ⭐ 990 · 💀) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (🥉22 · ⭐ 240 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (🥉18 · ⭐ 140 · 💤) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (🥉16 · ⭐ 720 · 💀) - GPU accelerated signal processing. Apache-2 - SpeedTorch (🥉16 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (🥉16 · ⭐ 210 · 💀) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2

Tensorflow Utilities¶

Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (🥇39 · ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2

- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 440 · 🔀 1.6K · 📦 22K · 📋 1.5K - 47% open · ⏱️ 19.02.2025):

git clone https://github.com/tensorflow/datasets

- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.8M / month · 📦 330 · ⏱️ 30.10.2024):

pip install tensorflow-datasets

- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 43K · ⏱️ 16.06.2023):

conda install -c conda-forge tensorflow-datasets

tensorflow-hub (🥈32 · ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2

- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 110 · 🔀 1.7K · 📋 710 - 1% open · ⏱️ 17.01.2025):

git clone https://github.com/tensorflow/hub

- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 1.9M / month · 📦 300 · ⏱️ 30.01.2024):

pip install tensorflow-hub

- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 110K · ⏱️ 05.02.2025):

conda install -c conda-forge tensorflow-hub

TFX (🥈32 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2

- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 190 · 🔀 710 · 📦 1.7K · 📋 1.1K - 22% open · ⏱️ 12.12.2024):

git clone https://github.com/tensorflow/tfx

- [PyPi](https://pypi.org/project/tfx) (📥 53K / month · 📦 17 · ⏱️ 11.12.2024):

pip install tfx

TF Addons (🥈31 · ⭐ 1.7K · 💤) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2

- [GitHub](https://github.com/tensorflow/addons) (👨‍💻 210 · 🔀 610 · 📋 990 - 9% open · ⏱️ 15.04.2024):

git clone https://github.com/tensorflow/addons

- [PyPi](https://pypi.org/project/tensorflow-addons) (📥 2.2M / month · 📦 370 · ⏱️ 28.11.2023):

pip install tensorflow-addons

TensorFlow I/O (🥈29 · ⭐ 720 · 💤) - Dataset, streaming, and file system extensions.. Apache-2

- [GitHub](https://github.com/tensorflow/io) (👨‍💻 110 · 🔀 290 · 📋 660 - 44% open · ⏱️ 01.07.2024):

git clone https://github.com/tensorflow/io

- [PyPi](https://pypi.org/project/tensorflow-io) (📥 990K / month · 📦 61 · ⏱️ 01.07.2024):

pip install tensorflow-io

TF Model Optimization (🥉28 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2

- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 87 · 🔀 320 · 📋 400 - 57% open · ⏱️ 10.02.2025):

git clone https://github.com/tensorflow/model-optimization

- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 440K / month · 📦 45 · ⏱️ 08.02.2024):

pip install tensorflow-model-optimization

TensorFlow Transform (🥉27 · ⭐ 990) - Input pipeline framework. Apache-2

- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 29 · 🔀 220 · 📋 220 - 17% open · ⏱️ 07.02.2025):

git clone https://github.com/tensorflow/transform

- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 360K / month · 📦 18 · ⏱️ 28.10.2024):

pip install tensorflow-transform

Neural Structured Learning (🥉24 · ⭐ 980) - Training neural models with structured signals. Apache-2

- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 39 · 🔀 190 · 📦 500 · 📋 69 - 1% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/neural-structured-learning

- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 5.8K / month · 📦 3 · ⏱️ 29.07.2022):

pip install neural-structured-learning

Saliency (🥉22 · ⭐ 970 · 💤) - Framework-agnostic implementation for state-of-the-art.. Apache-2

- [GitHub](https://github.com/PAIR-code/saliency) (👨‍💻 18 · 🔀 190 · 📦 120 · 📋 39 - 30% open · ⏱️ 20.03.2024):

git clone https://github.com/PAIR-code/saliency

- [PyPi](https://pypi.org/project/saliency) (📥 25K / month · 📦 8 · ⏱️ 20.03.2024):

pip install saliency

TF Compression (🥉21 · ⭐ 870) - Data compression in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 24 · 🔀 250 · 📋 100 - 10% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/compression

- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 2.3K / month · 📦 2 · ⏱️ 02.02.2024):

pip install tensorflow-compression

TensorFlow Cloud (🥉21 · ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2

- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 28 · 🔀 90 · 📋 100 - 73% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/cloud

- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 31K / month · 📦 7 · ⏱️ 17.06.2021):

pip install tensorflow-cloud

Show 5 hidden projects...

- tensor2tensor (🥇33 · ⭐ 16K · 💀) - Library of deep learning models and datasets designed.. Apache-2 - Keras-Preprocessing (🥈29 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT - efficientnet (🥉27 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT - tffm (🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

Jax Utilities¶

Libraries that extend Jax with additional capabilities.

equinox (🥇33 · ⭐ 2.2K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2

- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 61 · 🔀 150 · 📦 1K · 📋 500 - 33% open · ⏱️ 15.02.2025):

git clone https://github.com/patrick-kidger/equinox

- [PyPi](https://pypi.org/project/equinox) (📥 1.3M / month · 📦 200 · ⏱️ 24.12.2024):

pip install equinox

evojax (🥉19 · ⭐ 870 · 💤) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2

- [GitHub](https://github.com/google/evojax) (👨‍💻 14 · 🔀 97 · 📦 27 · 📋 37 - 54% open · ⏱️ 27.06.2024):

git clone https://github.com/google/evojax

- [PyPi](https://pypi.org/project/evojax) (📥 1.4K / month · 📦 6 · ⏱️ 18.06.2024):

pip install evojax

- [Conda](https://anaconda.org/conda-forge/evojax) (📥 35K · ⏱️ 18.06.2024):

conda install -c conda-forge evojax

Show 1 hidden projects...

- jaxdf (🥉12 · ⭐ 120) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

Sklearn Utilities¶

Libraries that extend scikit-learn with additional capabilities.

MLxtend (🥇35 · ⭐ 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3

- [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 110 · 🔀 880 · 📦 18K · 📋 500 - 29% open · ⏱️ 26.01.2025):

git clone https://github.com/rasbt/mlxtend

- [PyPi](https://pypi.org/project/mlxtend) (📥 680K / month · 📦 200 · ⏱️ 26.01.2025):

pip install mlxtend

- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 340K · ⏱️ 26.01.2025):

conda install -c conda-forge mlxtend

scikit-learn-intelex (🥇35 · ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2

- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (👨‍💻 84 · 🔀 180 · 📦 13K · 📋 250 - 21% open · ⏱️ 17.02.2025):

git clone https://github.com/intel/scikit-learn-intelex

- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 69K / month · 📦 59 · ⏱️ 18.02.2025):

pip install scikit-learn-intelex

- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 460K · ⏱️ 13.02.2025):

conda install -c conda-forge scikit-learn-intelex

imbalanced-learn (🥈34 · ⭐ 6.9K) - A Python Package to Tackle the Curse of Imbalanced.. MIT

- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 86 · 🔀 1.3K · 📋 620 - 7% open · ⏱️ 23.12.2024):

git clone https://github.com/scikit-learn-contrib/imbalanced-learn

- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 13M / month · 📦 480 · ⏱️ 20.12.2024):

pip install imbalanced-learn

- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 670K · ⏱️ 20.12.2024):

conda install -c conda-forge imbalanced-learn

category_encoders (🥈32 · ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 70 · 🔀 400 · 📦 2.7K · 📋 300 - 14% open · ⏱️ 19.01.2025):

git clone https://github.com/scikit-learn-contrib/category_encoders

- [PyPi](https://pypi.org/project/category_encoders) (📥 1.6M / month · 📦 300 · ⏱️ 19.01.2025):

pip install category_encoders

- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 300K · ⏱️ 19.01.2025):

conda install -c conda-forge category_encoders

scikit-lego (🥈28 · ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT

- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 68 · 🔀 120 · 📦 170 · 📋 330 - 12% open · ⏱️ 19.01.2025):

git clone https://github.com/koaning/scikit-lego

- [PyPi](https://pypi.org/project/scikit-lego) (📥 23K / month · 📦 13 · ⏱️ 17.12.2024):

pip install scikit-lego

- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 63K · ⏱️ 10.07.2024):

conda install -c conda-forge scikit-lego

scikit-opt (🥉25 · ⭐ 5.4K · 💤) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT

- [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 24 · 🔀 990 · 📦 250 · 📋 180 - 37% open · ⏱️ 23.06.2024):

git clone https://github.com/guofei9987/scikit-opt

- [PyPi](https://pypi.org/project/scikit-opt) (📥 4.4K / month · 📦 15 · ⏱️ 14.01.2022):

pip install scikit-opt

iterative-stratification (🥉22 · ⭐ 860) - scikit-learn cross validators for iterative.. BSD-3

- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 75 · 📦 550 · 📋 27 - 7% open · ⏱️ 12.10.2024):

git clone https://github.com/trent-b/iterative-stratification

- [PyPi](https://pypi.org/project/iterative-stratification) (📥 21K / month · 📦 15 · ⏱️ 12.10.2024):

pip install iterative-stratification

dabl (🥉20 · ⭐ 730) - Data Analysis Baseline Library. BSD-3

- [GitHub](https://github.com/amueller/dabl) (👨‍💻 24 · 🔀 100 · ⏱️ 07.08.2024):

git clone https://github.com/amueller/dabl

- [PyPi](https://pypi.org/project/dabl) (📥 4.5K / month · 📦 3 · ⏱️ 16.12.2024):

pip install dabl

scikit-tda (🥉18 · ⭐ 530 · 💤) - Topological Data Analysis for Python. MIT

- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 6 · 🔀 55 · 📦 70 · 📋 22 - 18% open · ⏱️ 19.07.2024):

git clone https://github.com/scikit-tda/scikit-tda

- [PyPi](https://pypi.org/project/scikit-tda) (📥 1.5K / month · ⏱️ 19.07.2024):

pip install scikit-tda

DESlib (🥉18 · ⭐ 480 · 💤) - A Python library for dynamic classifier and ensemble selection. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 17 · 🔀 100 · 📋 160 - 11% open · ⏱️ 15.04.2024):

git clone https://github.com/scikit-learn-contrib/DESlib

- [PyPi](https://pypi.org/project/deslib) (📥 2.6K / month · 📦 3 · ⏱️ 12.04.2024):

pip install deslib

Show 9 hidden projects...

- scikit-survival (🥈32 · ⭐ 1.2K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (🥈27 · ⭐ 1.3K · 💀) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (🥈27 · ⭐ 930 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (🥉26 · ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (🥉23 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (🥉22 · ⭐ 630 · 💀) - machine learning with logical rules in Python. ❗️BSD-1-Clause - combo (🥉21 · ⭐ 650 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - celer (🥉20 · ⭐ 210) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - skggm (🥉18 · ⭐ 250 · 💀) - Scikit-learn compatible estimation of general graphical models. MIT

Pytorch Utilities¶

Libraries that extend Pytorch with additional capabilities.

accelerate (🥇41 · ⭐ 8.4K) - A simple way to launch, train, and use PyTorch models on.. Apache-2

- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 320 · 🔀 1K · 📦 72K · 📋 1.7K - 6% open · ⏱️ 17.02.2025):

git clone https://github.com/huggingface/accelerate

- [PyPi](https://pypi.org/project/accelerate) (📥 9.3M / month · 📦 1.9K · ⏱️ 17.02.2025):

pip install accelerate

- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 300K · ⏱️ 18.02.2025):

conda install -c conda-forge accelerate

PML (🥇34 · ⭐ 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT

- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 46 · 🔀 660 · 📦 2.3K · 📋 520 - 14% open · ⏱️ 11.12.2024):

git clone https://github.com/KevinMusgrave/pytorch-metric-learning

- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 600K / month · 📦 55 · ⏱️ 11.12.2024):

pip install pytorch-metric-learning

- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 12K · ⏱️ 16.06.2023):

conda install -c metric-learning pytorch-metric-learning

tinygrad (🥇33 · ⭐ 28K) - You like pytorch? You like micrograd? You love tinygrad!. MIT

- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 380 · 🔀 3.1K · 📦 160 · 📋 860 - 15% open · ⏱️ 20.02.2025):

git clone https://github.com/geohot/tinygrad

torchdiffeq (🥇32 · ⭐ 5.8K · 📈) - Differentiable ODE solvers with full GPU support and.. MIT

- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 22 · 🔀 930 · 📦 4.5K · 📋 220 - 33% open · ⏱️ 13.02.2025):

git clone https://github.com/rtqichen/torchdiffeq

- [PyPi](https://pypi.org/project/torchdiffeq) (📥 870K / month · 📦 120 · ⏱️ 21.11.2024):

pip install torchdiffeq

- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 20K · ⏱️ 16.06.2023):

conda install -c conda-forge torchdiffeq

torchsde (🥈29 · ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2

- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 9 · 🔀 200 · 📦 4.5K · 📋 82 - 35% open · ⏱️ 30.12.2024):

git clone https://github.com/google-research/torchsde

- [PyPi](https://pypi.org/project/torchsde) (📥 2.3M / month · 📦 37 · ⏱️ 26.09.2023):

pip install torchsde

- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 35K · ⏱️ 21.11.2024):

conda install -c conda-forge torchsde

torch-scatter (🥈25 · ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT

- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 32 · 🔀 180 · 📋 400 - 6% open · ⏱️ 10.01.2025):

git clone https://github.com/rusty1s/pytorch_scatter

- [PyPi](https://pypi.org/project/torch-scatter) (📥 43K / month · 📦 150 · ⏱️ 06.10.2023):

pip install torch-scatter

- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 750K · ⏱️ 15.02.2025):

conda install -c conda-forge pytorch_scatter

EfficientNets (🥈25 · ⭐ 1.6K · 💤) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2

- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (👨‍💻 5 · 🔀 210 · 📦 280 · 📋 55 - 7% open · ⏱️ 13.06.2024):

git clone https://github.com/rwightman/gen-efficientnet-pytorch

- [PyPi](https://pypi.org/project/geffnet) (📥 140K / month · 📦 4 · ⏱️ 08.07.2021):

pip install geffnet

Pytorch Toolbelt (🥈25 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT

- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 8 · 🔀 120 · 📥 140 · 📋 33 - 12% open · ⏱️ 06.02.2025):

git clone https://github.com/BloodAxe/pytorch-toolbelt

- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 12K / month · 📦 12 · ⏱️ 21.11.2024):

pip install pytorch_toolbelt

PyTorch Sparse (🥉24 · ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 46 · 🔀 150 · 📋 290 - 10% open · ⏱️ 10.01.2025):

git clone https://github.com/rusty1s/pytorch_sparse

- [PyPi](https://pypi.org/project/torch-sparse) (📥 30K / month · 📦 120 · ⏱️ 06.10.2023):

pip install torch-sparse

- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 710K · ⏱️ 16.02.2025):

conda install -c conda-forge pytorch_sparse

pytorchviz (🥉19 · ⭐ 3.3K) - A small package to create visualizations of PyTorch execution graphs. MIT

- [GitHub](https://github.com/szagoruyko/pytorchviz) (👨‍💻 6 · 🔀 280 · 📦 2.6K · 📋 72 - 47% open · ⏱️ 30.12.2024):

git clone https://github.com/szagoruyko/pytorchviz

madgrad (🥉17 · ⭐ 800) - MADGRAD Optimization Method. MIT

- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 3 · 🔀 57 · 📦 100 · ⏱️ 27.01.2025):

git clone https://github.com/facebookresearch/madgrad

- [PyPi](https://pypi.org/project/madgrad) (📥 3.2K / month · 📦 1 · ⏱️ 08.03.2022):

pip install madgrad

Show 21 hidden projects...

- pretrainedmodels (🥈29 · ⭐ 9.1K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (🥈28 · ⭐ 4K · 💀) - Model summary in PyTorch similar to `model.summary()` in.. MIT - lightning-flash (🥈28 · ⭐ 1.7K · 💀) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - EfficientNet-PyTorch (🥈27 · ⭐ 8K · 💀) - A PyTorch implementation of EfficientNet. Apache-2 - pytorch-optimizer (🥈27 · ⭐ 3.1K · 💀) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (🥈25 · ⭐ 2.7K · 💀) - PyTorch implementation of TabNet paper :.. MIT - Torchmeta (🥉24 · ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (🥉22 · ⭐ 11K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (🥉22 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Antialiased CNNs (🥉22 · ⭐ 1.7K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (🥉21 · ⭐ 2.2K · 💀) - Reformer, the efficient Transformer, in Pytorch. MIT - Poutyne (🥉21 · ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Performer Pytorch (🥉20 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-.. MIT - Lambda Networks (🥉19 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (🥉18 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (🥉18 · ⭐ 800 · 💀) - The goal of this library is to generate more helpful.. MIT - Tez (🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (🥉17 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for.. MIT - TorchDrift (🥉15 · ⭐ 320 · 💀) - Drift Detection for your PyTorch Models. Apache-2

Database Clients¶

Libraries for connecting to, operating, and querying databases.

🔗 best-of-python - DB Clients ( ⭐ 3.8K) - Collection of database clients for python.

Others¶

scipy (🥇50 · ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3

- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.7K · 🔀 5.3K · 📥 460K · 📦 1.2M · 📋 11K - 15% open · ⏱️ 20.02.2025):

git clone https://github.com/scipy/scipy

- [PyPi](https://pypi.org/project/scipy) (📥 130M / month · 📦 51K · ⏱️ 17.02.2025):

pip install scipy

- [Conda](https://anaconda.org/conda-forge/scipy) (📥 58M · ⏱️ 17.02.2025):

conda install -c conda-forge scipy

SymPy (🥇49 · ⭐ 13K) - A computer algebra system written in pure Python. BSD-3

- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.4K · 🔀 4.6K · 📥 560K · 📦 220K · 📋 14K - 36% open · ⏱️ 19.02.2025):

git clone https://github.com/sympy/sympy

- [PyPi](https://pypi.org/project/sympy) (📥 35M / month · 📦 4K · ⏱️ 18.09.2024):

pip install sympy

- [Conda](https://anaconda.org/conda-forge/sympy) (📥 7.9M · ⏱️ 07.01.2025):

conda install -c conda-forge sympy

Streamlit (🥇46 · ⭐ 38K) - Streamlit A faster way to build and share data apps. Apache-2

- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 320 · 🔀 3.2K · 📦 720K · 📋 4.9K - 21% open · ⏱️ 20.02.2025):

git clone https://github.com/streamlit/streamlit

- [PyPi](https://pypi.org/project/streamlit) (📥 7.4M / month · 📦 3.3K · ⏱️ 17.02.2025):

pip install streamlit

Gradio (🥇44 · ⭐ 36K) - Wrap UIs around any model, share with anyone. Apache-2

- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 510 · 🔀 2.7K · 📦 57K · 📋 5.4K - 8% open · ⏱️ 19.02.2025):

git clone https://github.com/gradio-app/gradio

- [PyPi](https://pypi.org/project/gradio) (📥 6.9M / month · 📦 1K · ⏱️ 19.02.2025):

pip install gradio

carla (🥇38 · ⭐ 12K) - Open-source simulator for autonomous driving research. MIT

- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 180 · 🔀 3.7K · 📦 930 · 📋 5.8K - 18% open · ⏱️ 19.02.2025):

git clone https://github.com/carla-simulator/carla

- [PyPi](https://pypi.org/project/carla) (📥 11K / month · 📦 11 · ⏱️ 14.11.2023):

pip install carla

PyOD (🥇37 · ⭐ 8.9K · 📈) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2

- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 62 · 🔀 1.4K · 📦 4.8K · 📋 370 - 60% open · ⏱️ 22.12.2024):

git clone https://github.com/yzhao062/pyod

- [PyPi](https://pypi.org/project/pyod) (📥 590K / month · 📦 120 · ⏱️ 22.12.2024):

pip install pyod

- [Conda](https://anaconda.org/conda-forge/pyod) (📥 140K · ⏱️ 06.09.2024):

conda install -c conda-forge pyod

PennyLane (🥇37 · ⭐ 2.5K) - PennyLane is a cross-platform Python library for quantum.. Apache-2

- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 190 · 🔀 620 · 📥 100 · 📦 1.3K · 📋 1.5K - 22% open · ⏱️ 20.02.2025):

git clone https://github.com/PennyLaneAI/PennyLane

- [PyPi](https://pypi.org/project/pennylane) (📥 74K / month · 📦 120 · ⏱️ 14.01.2025):

pip install pennylane

- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 240K · ⏱️ 09.07.2024):

conda install -c conda-forge pennylane

Autograd (🥈36 · ⭐ 7.1K) - Efficiently computes derivatives of NumPy code. MIT

- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 60 · 🔀 910 · 📦 11K · 📋 430 - 41% open · ⏱️ 17.02.2025):

git clone https://github.com/HIPS/autograd

- [PyPi](https://pypi.org/project/autograd) (📥 3.6M / month · 📦 280 · ⏱️ 22.08.2024):

pip install autograd

- [Conda](https://anaconda.org/conda-forge/autograd) (📥 510K · ⏱️ 13.12.2024):

conda install -c conda-forge autograd

Datasette (🥈35 · ⭐ 9.8K) - An open source multi-tool for exploring and publishing data. Apache-2

- [GitHub](https://github.com/simonw/datasette) (👨‍💻 81 · 🔀 700 · 📥 70 · 📦 1.4K · 📋 1.9K - 32% open · ⏱️ 18.02.2025):

git clone https://github.com/simonw/datasette

- [PyPi](https://pypi.org/project/datasette) (📥 220K / month · 📦 440 · ⏱️ 06.02.2025):

pip install datasette

- [Conda](https://anaconda.org/conda-forge/datasette) (📥 55K · ⏱️ 30.11.2024):

conda install -c conda-forge datasette

agate (🥈35 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT

- [GitHub](https://github.com/wireservice/agate) (👨‍💻 53 · 🔀 150 · 📦 4.5K · 📋 650 - 0% open · ⏱️ 29.01.2025):

git clone https://github.com/wireservice/agate

- [PyPi](https://pypi.org/project/agate) (📥 15M / month · 📦 54 · ⏱️ 29.01.2025):

pip install agate

- [Conda](https://anaconda.org/conda-forge/agate) (📥 300K · ⏱️ 29.01.2025):

conda install -c conda-forge agate

DeepChem (🥈34 · ⭐ 5.8K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT

- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 260 · 🔀 1.7K · 📦 520 · 📋 1.9K - 35% open · ⏱️ 10.02.2025):

git clone https://github.com/deepchem/deepchem

- [PyPi](https://pypi.org/project/deepchem) (📥 33K / month · 📦 16 · ⏱️ 10.02.2025):

pip install deepchem

- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 110K · ⏱️ 05.04.2024):

conda install -c conda-forge deepchem

hdbscan (🥈34 · ⭐ 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 96 · 🔀 500 · 📦 4.8K · 📋 530 - 67% open · ⏱️ 08.02.2025):

git clone https://github.com/scikit-learn-contrib/hdbscan

- [PyPi](https://pypi.org/project/hdbscan) (📥 610K / month · 📦 350 · ⏱️ 18.11.2024):

pip install hdbscan

- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 2.4M · ⏱️ 12.10.2024):

conda install -c conda-forge hdbscan

Pythran (🥈33 · ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3

- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 73 · 🔀 190 · 📦 3.1K · 📋 880 - 15% open · ⏱️ 09.02.2025):

git clone https://github.com/serge-sans-paille/pythran

- [PyPi](https://pypi.org/project/pythran) (📥 320K / month · 📦 21 · ⏱️ 31.10.2024):

pip install pythran

- [Conda](https://anaconda.org/conda-forge/pythran) (📥 1.1M · ⏱️ 23.11.2024):

conda install -c conda-forge pythran

River (🥈32 · ⭐ 5.2K) - Online machine learning in Python. BSD-3

- [GitHub](https://github.com/online-ml/river) (👨‍💻 120 · 🔀 550 · 📦 640 · 📋 620 - 19% open · ⏱️ 03.02.2025):

git clone https://github.com/online-ml/river

- [PyPi](https://pypi.org/project/river) (📥 83K / month · 📦 64 · ⏱️ 25.11.2024):

pip install river

- [Conda](https://anaconda.org/conda-forge/river) (📥 100K · ⏱️ 06.10.2023):

conda install -c conda-forge river

tensorly (🥈32 · ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2

- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 70 · 🔀 290 · 📦 910 · 📋 270 - 21% open · ⏱️ 31.01.2025):

git clone https://github.com/tensorly/tensorly

- [PyPi](https://pypi.org/project/tensorly) (📥 60K / month · 📦 99 · ⏱️ 12.11.2024):

pip install tensorly

- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 370K · ⏱️ 10.06.2024):

conda install -c conda-forge tensorly

pyjanitor (🥈32 · ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT

- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 170 · 📦 850 · 📋 570 - 19% open · ⏱️ 06.02.2025):

git clone https://github.com/pyjanitor-devs/pyjanitor

- [PyPi](https://pypi.org/project/pyjanitor) (📥 97K / month · 📦 36 · ⏱️ 04.12.2024):

pip install pyjanitor

- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 240K · ⏱️ 05.12.2024):

conda install -c conda-forge pyjanitor

PaddleHub (🥈31 · ⭐ 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 70 · 🔀 2.1K · 📥 840 · 📦 1.8K · 📋 1.3K - 44% open · ⏱️ 07.08.2024):

git clone https://github.com/PaddlePaddle/PaddleHub

- [PyPi](https://pypi.org/project/paddlehub) (📥 4.7K / month · 📦 7 · ⏱️ 20.09.2023):

pip install paddlehub

datalad (🥈31 · ⭐ 560) - Keep code, data, containers under control with git and git-annex. MIT

- [GitHub](https://github.com/datalad/datalad) (👨‍💻 57 · 🔀 110 · 📦 450 · 📋 4K - 13% open · ⏱️ 15.12.2024):

git clone https://github.com/datalad/datalad

- [PyPi](https://pypi.org/project/datalad) (📥 15K / month · 📦 99 · ⏱️ 15.12.2024):

pip install datalad

- [Conda](https://anaconda.org/conda-forge/datalad) (📥 800K · ⏱️ 20.11.2024):

conda install -c conda-forge datalad

pyopencl (🥈30 · ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT

- [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 98 · 🔀 240 · 📦 2.2K · 📋 360 - 21% open · ⏱️ 13.02.2025):

git clone https://github.com/inducer/pyopencl

- [PyPi](https://pypi.org/project/pyopencl) (📥 82K / month · 📦 180 · ⏱️ 22.01.2025):

pip install pyopencl

- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 1.7M · ⏱️ 22.01.2025):

conda install -c conda-forge pyopencl

causalml (🥈29 · ⭐ 5.2K) - Uplift modeling and causal inference with machine learning.. Apache-2

- [GitHub](https://github.com/uber/causalml) (👨‍💻 64 · 🔀 780 · 📦 250 · 📋 400 - 13% open · ⏱️ 19.02.2025):

git clone https://github.com/uber/causalml

- [PyPi](https://pypi.org/project/causalml) (📥 49K / month · 📦 2 · ⏱️ 01.10.2024):

pip install causalml

anomalib (🥈29 · ⭐ 4.1K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2

- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 83 · 🔀 700 · 📥 18K · 📦 140 · 📋 980 - 14% open · ⏱️ 14.02.2025):

git clone https://github.com/openvinotoolkit/anomalib

- [PyPi](https://pypi.org/project/anomalib) (📥 29K / month · 📦 5 · ⏱️ 18.02.2025):

pip install anomalib

dstack (🥈29 · ⭐ 1.7K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0

- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 50 · 🔀 170 · 📦 18 · 📋 1.2K - 9% open · ⏱️ 20.02.2025):

git clone https://github.com/dstackai/dstack

- [PyPi](https://pypi.org/project/dstack) (📥 4.5K / month · ⏱️ 17.02.2025):

pip install dstack

Prince (🥈29 · ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT

- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 180 · 📦 670 · ⏱️ 05.01.2025):

git clone https://github.com/MaxHalford/prince

- [PyPi](https://pypi.org/project/prince) (📥 160K / month · 📦 19 · ⏱️ 04.01.2025):

pip install prince

- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 23K · ⏱️ 16.06.2023):

conda install -c conda-forge prince-factor-analysis

Trax (🥈28 · ⭐ 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2

- [GitHub](https://github.com/google/trax) (👨‍💻 80 · 🔀 820 · 📦 220 · 📋 250 - 49% open · ⏱️ 07.02.2025):

git clone https://github.com/google/trax

- [PyPi](https://pypi.org/project/trax) (📥 4K / month · 📦 1 · ⏱️ 26.10.2021):

pip install trax

adapter-transformers (🥉27 · ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface

- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 16 · 🔀 360 · 📦 170 · 📋 400 - 10% open · ⏱️ 13.02.2025):

git clone https://github.com/Adapter-Hub/adapter-transformers

- [PyPi](https://pypi.org/project/adapter-transformers) (📥 4.6K / month · 📦 12 · ⏱️ 07.07.2024):

pip install adapter-transformers

avalanche (🥉27 · ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT

- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 81 · 🔀 300 · 📥 50 · 📦 120 · 📋 820 - 12% open · ⏱️ 29.10.2024):

git clone https://github.com/ContinualAI/avalanche

- [PyPi](https://pypi.org/project/avalanche-lib) (📥 1.4K / month · 📦 3 · ⏱️ 29.10.2024):

pip install avalanche-lib

pycm (🥉27 · ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT

- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 18 · 🔀 130 · 📦 370 · 📋 210 - 7% open · ⏱️ 13.01.2025):

git clone https://github.com/sepandhaghighi/pycm

- [PyPi](https://pypi.org/project/pycm) (📥 39K / month · 📦 24 · ⏱️ 14.01.2025):

pip install pycm

pyclustering (🥉27 · ⭐ 1.2K · 💤) - pyclustering is a Python, C++ data mining library. BSD-3

- [GitHub](https://github.com/annoviko/pyclustering) (👨‍💻 26 · 🔀 250 · 📥 660 · 📦 800 · 📋 670 - 11% open · ⏱️ 08.02.2024):

git clone https://github.com/annoviko/pyclustering

- [PyPi](https://pypi.org/project/pyclustering) (📥 33K / month · 📦 32 · ⏱️ 25.11.2020):

pip install pyclustering

- [Conda](https://anaconda.org/conda-forge/pyclustering) (📥 130K · ⏱️ 08.11.2024):

conda install -c conda-forge pyclustering

TabPy (🥉26 · ⭐ 1.6K · 📉) - Execute Python code on the fly and display results in Tableau.. MIT

- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 51 · 🔀 600 · 📦 190 · 📋 320 - 6% open · ⏱️ 25.11.2024):

git clone https://github.com/tableau/TabPy

- [PyPi](https://pypi.org/project/tabpy) (📥 7.1K / month · 📦 2 · ⏱️ 25.11.2024):

pip install tabpy

- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 4.9K · ⏱️ 16.06.2023):

conda install -c anaconda tabpy-client

metric-learn (🥉26 · ⭐ 1.4K) - Metric learning algorithms in Python. MIT

- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 23 · 🔀 230 · 📦 450 · 📋 170 - 30% open · ⏱️ 03.08.2024):

git clone https://github.com/scikit-learn-contrib/metric-learn

- [PyPi](https://pypi.org/project/metric-learn) (📥 7.2K / month · 📦 7 · ⏱️ 09.10.2023):

pip install metric-learn

- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 15K · ⏱️ 06.01.2025):

conda install -c conda-forge metric-learn

Feature Engine (🥉25 · ⭐ 2K) - Feature engineering package with sklearn like functionality. BSD-3

- [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 49 · 🔀 320 · ⏱️ 31.08.2024):

git clone https://github.com/solegalli/feature_engine

- [PyPi](https://pypi.org/project/feature_engine) (📥 220K / month · 📦 180 · ⏱️ 22.01.2025):

pip install feature_engine

- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 67K · ⏱️ 27.01.2025):

conda install -c conda-forge feature_engine

AugLy (🥉24 · ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT

- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 38 · 🔀 300 · 📦 160 · 📋 78 - 30% open · ⏱️ 05.02.2025):

git clone https://github.com/facebookresearch/AugLy

- [PyPi](https://pypi.org/project/augly) (📥 3.4K / month · 📦 4 · ⏱️ 05.12.2023):

pip install augly

BioPandas (🥉23 · ⭐ 720) - Working with molecular structures in pandas DataFrames. BSD-3

- [GitHub](https://github.com/BioPandas/biopandas) (👨‍💻 18 · 🔀 120 · 📦 340 · 📋 59 - 35% open · ⏱️ 01.08.2024):

git clone https://github.com/rasbt/biopandas

- [PyPi](https://pypi.org/project/biopandas) (📥 10K / month · 📦 38 · ⏱️ 01.08.2024):

pip install biopandas

- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 170K · ⏱️ 28.12.2024):

conda install -c conda-forge biopandas

MONAILabel (🥉23 · ⭐ 660) - MONAI Label is an intelligent open source image labeling and.. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 66 · 🔀 200 · 📥 110K · 📋 540 - 24% open · ⏱️ 18.02.2025):

git clone https://github.com/Project-MONAI/MONAILabel

- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 1.3K / month · ⏱️ 01.10.2023):

pip install monailabel-weekly

benchmark_VAE (🥉21 · ⭐ 1.9K · 💤) - Unifying Variational Autoencoder (VAE).. Apache-2

- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 18 · 🔀 170 · 📦 37 · 📋 71 - 36% open · ⏱️ 17.07.2024):

git clone https://github.com/clementchadebec/benchmark_VAE

- [PyPi](https://pypi.org/project/pythae) (📥 1.5K / month · ⏱️ 06.09.2023):

pip install pythae

SUOD (🥉21 · ⭐ 380 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2

- [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 3 · 🔀 49 · 📦 540 · 📋 15 - 80% open · ⏱️ 08.02.2024):

git clone https://github.com/yzhao062/SUOD

- [PyPi](https://pypi.org/project/suod) (📥 11K / month · 📦 8 · ⏱️ 08.02.2024):

pip install suod

pymdp (🥉20 · ⭐ 500) - A Python implementation of active inference for Markov Decision Processes. MIT

- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 19 · 🔀 99 · 📦 17 · 📋 50 - 46% open · ⏱️ 06.02.2025):

git clone https://github.com/infer-actively/pymdp

- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 2.5K / month · ⏱️ 08.12.2022):

pip install inferactively-pymdp

pykale (🥉20 · ⭐ 450) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT

- [GitHub](https://github.com/pykale/pykale) (👨‍💻 25 · 🔀 64 · 📦 6 · 📋 120 - 8% open · ⏱️ 24.09.2024):

git clone https://github.com/pykale/pykale

- [PyPi](https://pypi.org/project/pykale) (📥 240 / month · ⏱️ 12.04.2022):

pip install pykale

NeuralCompression (🥉15 · ⭐ 530) - A collection of tools for neural compression enthusiasts. MIT

- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨‍💻 10 · 🔀 43 · 📋 71 - 8% open · ⏱️ 20.09.2024):

git clone https://github.com/facebookresearch/NeuralCompression

- [PyPi](https://pypi.org/project/neuralcompression) (📥 240 / month · ⏱️ 03.10.2023):

pip install neuralcompression

Show 27 hidden projects...

- Cython BLIS (🥈32 · ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - cleanlab (🥈31 · ⭐ 10K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - pysc2 (🥈28 · ⭐ 8.1K · 💀) - StarCraft II Learning Environment. Apache-2 - alibi-detect (🥈28 · ⭐ 2.3K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - modAL (🥈28 · ⭐ 2.3K · 💀) - A modular active learning framework for Python. MIT - kmodes (🥈28 · ⭐ 1.3K · 💀) - Python implementations of the k-modes and k-prototypes clustering.. MIT - gplearn (🥉27 · ⭐ 1.7K · 💀) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - PySwarms (🥉27 · ⭐ 1.3K · 💀) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (🥉26 · ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - minisom (🥉25 · ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - findspark (🥉25 · ⭐ 520 · 💀) - Find pyspark to make it importable. BSD-3 - pandas-ai (🥉24 · ⭐ 15K) - Chat with your database or your datalake (SQL, CSV, parquet)... ❗Unlicensed - Mars (🥉24 · ⭐ 2.7K · 💀) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - AstroML (🥉23 · ⭐ 1.1K · 💀) - Machine learning, statistics, and data mining for astronomy.. BSD-2 - opyrator (🥉22 · ⭐ 3.1K · 💀) - Turns your machine learning code into microservices with web API,.. MIT - mlens (🥉22 · ⭐ 850 · 💀) - ML-Ensemble high performance ensemble learning. MIT - vecstack (🥉22 · ⭐ 690 · 💀) - Python package for stacking (machine learning technique). MIT - impyute (🥉21 · ⭐ 360 · 💀) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (🥉20 · ⭐ 2.9K · 💀) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - rrcf (🥉20 · ⭐ 500 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - apricot (🥉20 · ⭐ 500 · 💀) - apricot implements submodular optimization for the purpose of.. MIT - scikit-rebate (🥉20 · ⭐ 420 · 💀) - A scikit-learn-compatible Python implementation of.. MIT - baikal (🥉19 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn.. BSD-3 - KD-Lib (🥉16 · ⭐ 620 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - pandas-ml (🥉16 · ⭐ 320 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - nylon (🥉14 · ⭐ 83 · 💀) - An intelligent, flexible grammar of machine learning. MIT - traingenerator (🥉13 · ⭐ 1.4K · 💀) - A web app to generate template code for machine learning. MIT

Papers With Code: Discover ML papers, code, and evaluation tables.
Sotabench: Discover & compare open-source ML models.
Google Dataset Search: Dataset search engine by Google.
Dataset List: List of the biggest ML datasets from across the web.
Awesome Public Datasets: A topic-centric list of open datasets.
Best-of lists: Discover other best-of lists with awesome open-source projects on all kinds of topics.
best-of-python-dev: A ranked list of awesome python developer tools and libraries.
best-of-web-python: A ranked list of awesome python libraries for web development.

Contribution¶

Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:

Open an issue by selecting one of the provided categories from the issue page and fill in the requested information.
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For more information on how to add or update projects, please read the contribution guidelines. By participating in this project, you agree to abide by its Code of Conduct.

Best-of Machine Learning with Python

Contents¶

Explanation¶

Machine Learning Frameworks¶

Data Visualization¶

Text Data & NLP¶

Image Data¶

Graph Data¶

Audio Data¶

Geospatial Data¶

Financial Data¶

Time Series Data¶

Medical Data¶

Tabular Data¶

Optical Character Recognition¶

Data Containers & Structures¶

Data Loading & Extraction¶

Web Scraping & Crawling¶

Data Pipelines & Streaming¶

Distributed Machine Learning¶

Hyperparameter Optimization & AutoML¶

Reinforcement Learning¶

Recommender Systems¶

Privacy Machine Learning¶

Workflow & Experiment Tracking¶

Model Serialization & Deployment¶

Model Interpretability¶

Vector Similarity Search (ANN)¶

Probabilistics & Statistics¶

Adversarial Robustness¶

GPU & Accelerator Utilities¶

Tensorflow Utilities¶

Jax Utilities¶

Sklearn Utilities¶

Pytorch Utilities¶

Database Clients¶

Others¶

Contribution¶

License¶

Comments

Best-of Machine Learning with Python

Contents¶

Explanation¶

Machine Learning Frameworks¶

Data Visualization¶

Text Data & NLP¶

Image Data¶

Graph Data¶

Audio Data¶

Geospatial Data¶

Financial Data¶

Time Series Data¶

Medical Data¶

Tabular Data¶

Optical Character Recognition¶

Data Containers & Structures¶

Data Loading & Extraction¶

Web Scraping & Crawling¶

Data Pipelines & Streaming¶

Distributed Machine Learning¶

Hyperparameter Optimization & AutoML¶

Reinforcement Learning¶

Recommender Systems¶

Privacy Machine Learning¶

Workflow & Experiment Tracking¶

Model Serialization & Deployment¶

Model Interpretability¶

Vector Similarity Search (ANN)¶

Probabilistics & Statistics¶

Adversarial Robustness¶

GPU & Accelerator Utilities¶

Tensorflow Utilities¶

Jax Utilities¶

Sklearn Utilities¶

Pytorch Utilities¶

Database Clients¶

Others¶

Related Resources¶

Contribution¶

License¶

Comments