{"id":13404394,"url":"https://github.com/ml-tooling/best-of-ml-python","last_synced_at":"2025-05-13T17:03:20.983Z","repository":{"id":36995111,"uuid":"317029148","full_name":"ml-tooling/best-of-ml-python","owner":"ml-tooling","description":"🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.","archived":false,"fork":false,"pushed_at":"2025-05-01T15:10:03.000Z","size":20076,"stargazers_count":20017,"open_issues_count":31,"forks_count":2766,"subscribers_count":432,"default_branch":"main","last_synced_at":"2025-05-06T16:08:38.335Z","etag":null,"topics":["automl","chatgpt","data-analysis","data-science","data-visualization","data-visualizations","deep-learning","gpt","gpt-3","jax","keras","machine-learning","ml","nlp","python","pytorch","scikit-learn","tensorflow","transformer"],"latest_commit_sha":null,"homepage":"https://ml-python.best-of.org","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ml-tooling.png","metadata":{"files":{"readme":"README.md","changelog":"history/2020-11-30_projects.csv","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":".github/CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-11-29T19:41:36.000Z","updated_at":"2025-05-06T14:44:46.000Z","dependencies_parsed_at":"2024-01-18T17:16:20.506Z","dependency_job_id":"a3180b40-e5df-4774-b613-27b0b7bab124","html_url":"https://github.com/ml-tooling/best-of-ml-python","commit_stats":{"total_commits":328,"total_committers":49,"mean_commits":"6.6938775510204085","dds":0.5304878048780488,"last_synced_commit":"c8326f9e70cb838c49142a4d5dc980a5830b9df9"},"previous_names":[],"tags_count":238,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ml-tooling%2Fbest-of-ml-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ml-tooling%2Fbest-of-ml-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ml-tooling%2Fbest-of-ml-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ml-tooling%2Fbest-of-ml-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ml-tooling","download_url":"https://codeload.github.com/ml-tooling/best-of-ml-python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253990449,"owners_count":21995773,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["automl","chatgpt","data-analysis","data-science","data-visualization","data-visualizations","deep-learning","gpt","gpt-3","jax","keras","machine-learning","ml","nlp","python","pytorch","scikit-learn","tensorflow","transformer"],"created_at":"2024-07-30T19:01:44.586Z","updated_at":"2025-05-13T17:03:15.970Z","avatar_url":"https://github.com/ml-tooling.png","language":null,"funding_links":[],"categories":["Others","Machine Learning \u0026 Data Engineering","Related Resources","Community resources","Tutorials","Machine Learning","Library","Python","Awesome-lists","其他_机器学习与深度学习","Repos","Machine Learning ##","Curated Python AI, Data Science, and ML Compilations","Uncategorized","chatgpt","Documentation and examples","PROGRAMMING LANGUAGES"],"sub_categories":["JavaScript","Uncategorized","Documentation, lists, guides, or examples","ML With Python"],"readme":"\u003c!-- markdownlint-disable --\u003e\n\u003ch1 align=\"center\"\u003e\n    Best-of Machine Learning with Python\n    \u003cbr\u003e\n\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cstrong\u003e🏆\u0026nbsp; A ranked list of awesome machine learning Python libraries. Updated weekly.\u003c/strong\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://github.com/ml-tooling/best-of\" title=\"Best-of-badge\"\u003e\u003cimg src=\"http://bit.ly/3o3EHNN\"\u003e\u003c/a\u003e\n    \u003ca href=\"#Contents\" title=\"Project Count\"\u003e\u003cimg src=\"https://img.shields.io/badge/projects-920-blue.svg?color=5ac4bf\"\u003e\u003c/a\u003e\n    \u003ca href=\"#Contribution\" title=\"Contributions are welcome\"\u003e\u003cimg src=\"https://img.shields.io/badge/contributions-welcome-green.svg\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://github.com/ml-tooling/best-of-ml-python/releases\" title=\"Best-of Updates\"\u003e\u003cimg src=\"https://img.shields.io/github/release-date/ml-tooling/best-of-ml-python?color=green\u0026label=updated\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://mltooling.substack.com/subscribe\" title=\"Subscribe to newsletter\"\u003e\u003cimg src=\"http://bit.ly/2Md9rxM\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://twitter.com/mltooling\" title=\"Follow on Twitter\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/mltooling.svg?style=social\u0026label=Follow\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\nThis curated list contains 920 awesome open-source projects with a total of 4.9M 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](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!\n\n---\n\n\u003cp align=\"center\"\u003e\n     🧙‍♂️\u0026nbsp; Discover other \u003ca href=\"https://best-of.org\"\u003ebest-of lists\u003c/a\u003e or create \u003ca href=\"https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md\"\u003eyour own\u003c/a\u003e.\u003cbr\u003e\n    📫\u0026nbsp; Subscribe to our \u003ca href=\"https://mltooling.substack.com/subscribe\"\u003enewsletter\u003c/a\u003e for updates and trending projects.\n\u003c/p\u003e\n\n---\n\n\n## Contents\n\n- [Machine Learning Frameworks](#machine-learning-frameworks) _63 projects_\n- [Data Visualization](#data-visualization) _55 projects_\n- [Text Data \u0026 NLP](#text-data--nlp) _103 projects_\n- [Image Data](#image-data) _64 projects_\n- [Graph Data](#graph-data) _36 projects_\n- [Audio Data](#audio-data) _29 projects_\n- [Geospatial Data](#geospatial-data) _22 projects_\n- [Financial Data](#financial-data) _25 projects_\n- [Time Series Data](#time-series-data) _29 projects_\n- [Medical Data](#medical-data) _19 projects_\n- [Tabular Data](#tabular-data) _5 projects_\n- [Optical Character Recognition](#optical-character-recognition) _12 projects_\n- [Data Containers \u0026 Structures](#data-containers--structures) _1 projects_\n- [Data Loading \u0026 Extraction](#data-loading--extraction) _1 projects_\n- [Web Scraping \u0026 Crawling](#web-scraping--crawling) _1 projects_\n- [Data Pipelines \u0026 Streaming](#data-pipelines--streaming) _2 projects_\n- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_\n- [Hyperparameter Optimization \u0026 AutoML](#hyperparameter-optimization--automl) _52 projects_\n- [Reinforcement Learning](#reinforcement-learning) _23 projects_\n- [Recommender Systems](#recommender-systems) _17 projects_\n- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_\n- [Workflow \u0026 Experiment Tracking](#workflow--experiment-tracking) _40 projects_\n- [Model Serialization \u0026 Deployment](#model-serialization--deployment) _20 projects_\n- [Model Interpretability](#model-interpretability) _55 projects_\n- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_\n- [Probabilistics \u0026 Statistics](#probabilistics--statistics) _24 projects_\n- [Adversarial Robustness](#adversarial-robustness) _9 projects_\n- [GPU \u0026 Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_\n- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_\n- [Jax Utilities](#jax-utilities) _3 projects_\n- [Sklearn Utilities](#sklearn-utilities) _19 projects_\n- [Pytorch Utilities](#pytorch-utilities) _32 projects_\n- [Database Clients](#database-clients) _1 projects_\n- [Others](#others) _66 projects_\n\n## Explanation\n- 🥇🥈🥉\u0026nbsp; Combined project-quality score\n- ⭐️\u0026nbsp; Star count from GitHub\n- 🐣\u0026nbsp; New project _(less than 6 months old)_\n- 💤\u0026nbsp; Inactive project _(6 months no activity)_\n- 💀\u0026nbsp; Dead project _(12 months no activity)_\n- 📈📉\u0026nbsp; Project is trending up or down\n- ➕\u0026nbsp; Project was recently added\n- ❗️\u0026nbsp; Warning _(e.g. missing/risky license)_\n- 👨‍💻\u0026nbsp; Contributors count from GitHub\n- 🔀\u0026nbsp; Fork count from GitHub\n- 📋\u0026nbsp; Issue count from GitHub\n- ⏱️\u0026nbsp; Last update timestamp on package manager\n- 📥\u0026nbsp; Download count from package manager\n- 📦\u0026nbsp; Number of dependent projects\n- \u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Tensorflow related project\n- \u003cimg src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Sklearn related project\n- \u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; PyTorch related project\n- \u003cimg src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; MxNet related project\n- \u003cimg src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Apache Spark related project\n- \u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Jupyter related project\n- \u003cimg src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; PaddlePaddle related project\n- \u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Pandas related project\n- \u003cimg src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u0026nbsp; Jax related project\n\n\u003cbr\u003e\n\n## Machine Learning Frameworks\n\n\u003ca href=\"#contents\"\u003e\u003cimg align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"\u003e\u003c/a\u003e\n\n_General-purpose machine learning and deep learning frameworks._\n\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/tensorflow/tensorflow\"\u003eTensorflow\u003c/a\u003e\u003c/b\u003e (🥇56 ·  ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.8K · 🔀 75K · 📦 500K · 📋 47K - 15% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/tensorflow\n\t```\n- [PyPi](https://pypi.org/project/tensorflow) (📥 22M / month · 📦 8.7K · ⏱️ 12.03.2025):\n\t```\n\tpip install tensorflow\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorflow\n\t```\n- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 80M · ⭐ 2.7K · ⏱️ 24.04.2025):\n\t```\n\tdocker pull tensorflow/tensorflow\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pytorch/pytorch\"\u003ePyTorch\u003c/a\u003e\u003c/b\u003e (🥇55 ·  ⭐ 89K) - Tensors and Dynamic neural networks in Python with strong GPU.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 5.6K · 🔀 24K · 📥 85K · 📦 730K · 📋 52K - 31% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/pytorch\n\t```\n- [PyPi](https://pypi.org/project/torch) (📥 48M / month · 📦 24K · ⏱️ 23.04.2025):\n\t```\n\tpip install torch\n\t```\n- [Conda](https://anaconda.org/pytorch/pytorch) (📥 27M · ⏱️ 25.03.2025):\n\t```\n\tconda install -c pytorch pytorch\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/scikit-learn/scikit-learn\"\u003escikit-learn\u003c/a\u003e\u003c/b\u003e (🥇53 ·  ⭐ 62K) - scikit-learn: machine learning in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.3K · 🔀 26K · 📥 1.1K · 📦 1.2M · 📋 12K - 17% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/scikit-learn/scikit-learn\n\t```\n- [PyPi](https://pypi.org/project/scikit-learn) (📥 93M / month · 📦 30K · ⏱️ 10.01.2025):\n\t```\n\tpip install scikit-learn\n\t```\n- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 36M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge scikit-learn\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/keras-team/keras\"\u003eKeras\u003c/a\u003e\u003c/b\u003e (🥇47 ·  ⭐ 63K) - Deep Learning for humans. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📋 12K - 2% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/keras-team/keras\n\t```\n- [PyPi](https://pypi.org/project/keras) (📥 15M / month · 📦 1.8K · ⏱️ 02.04.2025):\n\t```\n\tpip install keras\n\t```\n- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge keras\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/dmlc/xgboost\"\u003eXGBoost\u003c/a\u003e\u003c/b\u003e (🥇46 ·  ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 660 · 🔀 8.8K · 📥 16K · 📦 150K · 📋 5.5K - 8% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/dmlc/xgboost\n\t```\n- [PyPi](https://pypi.org/project/xgboost) (📥 25M / month · 📦 2.3K · ⏱️ 15.03.2025):\n\t```\n\tpip install xgboost\n\t```\n- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge xgboost\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/jax-ml/jax\"\u003ejax\u003c/a\u003e\u003c/b\u003e (🥇45 ·  ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 860 · 🔀 3K · 📦 42K · 📋 6.1K - 24% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/google/jax\n\t```\n- [PyPi](https://pypi.org/project/jax) (📥 8.4M / month · 📦 2.4K · ⏱️ 17.04.2025):\n\t```\n\tpip install jax\n\t```\n- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jaxlib\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/PaddlePaddle/Paddle\"\u003ePaddlePaddle\u003c/a\u003e\u003c/b\u003e (🥇45 ·  ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.4K · 🔀 5.7K · 📥 15K · 📦 7.8K · 📋 19K - 9% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/Paddle\n\t```\n- [PyPi](https://pypi.org/project/paddlepaddle) (📥 400K / month · 📦 230 · ⏱️ 26.03.2025):\n\t```\n\tpip install paddlepaddle\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/apache/spark\"\u003ePySpark\u003c/a\u003e\u003c/b\u003e (🥈44 ·  ⭐ 41K · 📉) - Apache Spark Python API. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/apache/spark) (👨‍💻 3.2K · 🔀 28K · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/apache/spark\n\t```\n- [PyPi](https://pypi.org/project/pyspark) (📥 42M / month · 📦 1.8K · ⏱️ 27.02.2025):\n\t```\n\tpip install pyspark\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.8M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyspark\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/Lightning-AI/pytorch-lightning\"\u003epytorch-lightning\u003c/a\u003e\u003c/b\u003e (🥈44 ·  ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 1K · 🔀 3.5K · 📥 12K · 📦 45K · 📋 7.3K - 12% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/Lightning-AI/lightning\n\t```\n- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 8.3M / month · 📦 1.6K · ⏱️ 19.03.2025):\n\t```\n\tpip install pytorch-lightning\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pytorch-lightning\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/statsmodels/statsmodels\"\u003eStatsModels\u003c/a\u003e\u003c/b\u003e (🥈44 ·  ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 450 · 🔀 3.1K · 📥 35 · 📦 170K · 📋 5.7K - 50% open · ⏱️ 02.04.2025):\n\n\t```\n\tgit clone https://github.com/statsmodels/statsmodels\n\t```\n- [PyPi](https://pypi.org/project/statsmodels) (📥 17M / month · 📦 4.5K · ⏱️ 03.10.2024):\n\t```\n\tpip install statsmodels\n\t```\n- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 19M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge statsmodels\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/fastai/fastai\"\u003eFastai\u003c/a\u003e\u003c/b\u003e (🥈42 ·  ⭐ 27K · 📈) - The fastai deep learning library. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/fastai/fastai) (👨‍💻 670 · 🔀 7.6K · 📦 22K · 📋 1.8K - 13% open · ⏱️ 19.04.2025):\n\n\t```\n\tgit clone https://github.com/fastai/fastai\n\t```\n- [PyPi](https://pypi.org/project/fastai) (📥 500K / month · 📦 330 · ⏱️ 18.04.2025):\n\t```\n\tpip install fastai\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/microsoft/LightGBM\"\u003eLightGBM\u003c/a\u003e\u003c/b\u003e (🥈42 ·  ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 290K · 📦 50K · 📋 3.5K - 11% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/LightGBM\n\t```\n- [PyPi](https://pypi.org/project/lightgbm) (📥 10M / month · 📦 1.2K · ⏱️ 15.02.2025):\n\t```\n\tpip install lightgbm\n\t```\n- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.4M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge lightgbm\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/catboost/catboost\"\u003eCatboost\u003c/a\u003e\u003c/b\u003e (🥈42 ·  ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.3K · 🔀 1.2K · 📥 380K · 📦 16 · 📋 2.4K - 25% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/catboost/catboost\n\t```\n- [PyPi](https://pypi.org/project/catboost) (📥 2.9M / month · 📦 650 · ⏱️ 13.04.2025):\n\t```\n\tpip install catboost\n\t```\n- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge catboost\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/apache/flink\"\u003ePyFlink\u003c/a\u003e\u003c/b\u003e (🥈40 ·  ⭐ 25K) - Apache Flink Python API. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/apache/flink) (👨‍💻 2K · 🔀 13K · 📦 21 · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/apache/flink\n\t```\n- [PyPi](https://pypi.org/project/apache-flink) (📥 5.5M / month · 📦 35 · ⏱️ 12.02.2025):\n\t```\n\tpip install apache-flink\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/google/flax\"\u003eFlax\u003c/a\u003e\u003c/b\u003e (🥈37 ·  ⭐ 6.5K) - Flax is a neural network library for JAX that is designed for.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/google/flax) (👨‍💻 260 · 🔀 690 · 📥 60 · 📦 14K · 📋 1.2K - 33% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/google/flax\n\t```\n- [PyPi](https://pypi.org/project/flax) (📥 1.6M / month · 📦 610 · ⏱️ 23.04.2025):\n\t```\n\tpip install flax\n\t```\n- [Conda](https://anaconda.org/conda-forge/flax) (📥 97K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge flax\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pytorch/ignite\"\u003eIgnite\u003c/a\u003e\u003c/b\u003e (🥈37 ·  ⭐ 4.7K) - High-level library to help with training and evaluating neural.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 840 · 🔀 650 · 📦 3.7K · 📋 1.4K - 11% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/ignite\n\t```\n- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 180K / month · 📦 110 · ⏱️ 24.04.2025):\n\t```\n\tpip install pytorch-ignite\n\t```\n- [Conda](https://anaconda.org/pytorch/ignite) (📥 230K · ⏱️ 30.03.2025):\n\t```\n\tconda install -c pytorch ignite\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/arogozhnikov/einops\"\u003eeinops\u003c/a\u003e\u003c/b\u003e (🥈36 ·  ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 33 · 🔀 360 · 📦 71K · 📋 200 - 18% open · ⏱️ 09.02.2025):\n\n\t```\n\tgit clone https://github.com/arogozhnikov/einops\n\t```\n- [PyPi](https://pypi.org/project/einops) (📥 9.4M / month · 📦 2.6K · ⏱️ 09.02.2025):\n\t```\n\tpip install einops\n\t```\n- [Conda](https://anaconda.org/conda-forge/einops) (📥 370K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge einops\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/jina-ai/serve\"\u003eJina\u003c/a\u003e\u003c/b\u003e (🥈35 ·  ⭐ 22K) - Build multimodal AI applications with cloud-native stack. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/jina-ai/serve) (👨‍💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/jina-ai/jina\n\t```\n- [PyPi](https://pypi.org/project/jina) (📥 85K / month · 📦 29 · ⏱️ 24.03.2025):\n\t```\n\tpip install jina\n\t```\n- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 92K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jina-core\n\t```\n- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 24.03.2025):\n\t```\n\tdocker pull jinaai/jina\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/ivy-llc/ivy\"\u003eivy\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 14K) - Convert Machine Learning Code Between Frameworks. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 19.04.2025):\n\n\t```\n\tgit clone https://github.com/unifyai/ivy\n\t```\n- [PyPi](https://pypi.org/project/ivy) (📥 29K / month · 📦 16 · ⏱️ 21.02.2025):\n\t```\n\tpip install ivy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/explosion/thinc\"\u003eThinc\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/explosion/thinc) (👨‍💻 67 · 🔀 280 · 📥 1.2K · 📦 66K · 📋 150 - 12% open · ⏱️ 07.03.2025):\n\n\t```\n\tgit clone https://github.com/explosion/thinc\n\t```\n- [PyPi](https://pypi.org/project/thinc) (📥 17M / month · 📦 160 · ⏱️ 04.04.2025):\n\t```\n\tpip install thinc\n\t```\n- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge thinc\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/VowpalWabbit/vowpal_wabbit\"\u003eVowpal Wabbit\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 8.6K · 💤) - Vowpal Wabbit is a machine learning system which pushes the.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 340 · 🔀 1.9K · 📦 2 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):\n\n\t```\n\tgit clone https://github.com/VowpalWabbit/vowpal_wabbit\n\t```\n- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 49K / month · 📦 40 · ⏱️ 08.08.2024):\n\t```\n\tpip install vowpalwabbit\n\t```\n- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 350K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge vowpalwabbit\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/mlpack/mlpack\"\u003emlpack\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 5.3K) - mlpack: a fast, header-only C++ machine learning library. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 330 · 🔀 1.7K · 📋 1.6K - 0% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/mlpack/mlpack\n\t```\n- [PyPi](https://pypi.org/project/mlpack) (📥 7.2K / month · 📦 6 · ⏱️ 04.04.2025):\n\t```\n\tpip install mlpack\n\t```\n- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 350K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mlpack\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/ludwig-ai/ludwig\"\u003eLudwig\u003c/a\u003e\u003c/b\u003e (🥉32 ·  ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 300 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):\n\n\t```\n\tgit clone https://github.com/ludwig-ai/ludwig\n\t```\n- [PyPi](https://pypi.org/project/ludwig) (📥 2.5K / month · 📦 6 · ⏱️ 30.07.2024):\n\t```\n\tpip install ludwig\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/google-deepmind/sonnet\"\u003eSonnet\u003c/a\u003e\u003c/b\u003e (🥉32 ·  ⭐ 9.8K) - TensorFlow-based neural network library. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 14.02.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/sonnet\n\t```\n- [PyPi](https://pypi.org/project/dm-sonnet) (📥 22K / month · 📦 19 · ⏱️ 02.01.2024):\n\t```\n\tpip install dm-sonnet\n\t```\n- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 41K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sonnet\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/skorch-dev/skorch\"\u003eskorch\u003c/a\u003e\u003c/b\u003e (🥉32 ·  ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 67 · 🔀 390 · 📦 1.6K · 📋 540 - 12% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/skorch-dev/skorch\n\t```\n- [PyPi](https://pypi.org/project/skorch) (📥 130K / month · 📦 94 · ⏱️ 10.01.2025):\n\t```\n\tpip install skorch\n\t```\n- [Conda](https://anaconda.org/conda-forge/skorch) (📥 800K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge skorch\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/google-deepmind/dm-haiku\"\u003eHaiku\u003c/a\u003e\u003c/b\u003e (🥉31 ·  ⭐ 3K) - JAX-based neural network library. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 85 · 🔀 240 · 📦 2.4K · 📋 250 - 29% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/dm-haiku\n\t```\n- [PyPi](https://pypi.org/project/dm-haiku) (📥 190K / month · 📦 190 · ⏱️ 22.04.2025):\n\t```\n\tpip install dm-haiku\n\t```\n- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 32K · ⏱️ 23.04.2025):\n\t```\n\tconda install -c conda-forge dm-haiku\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/ROCm/tensorflow-upstream\"\u003etensorflow-upstream\u003c/a\u003e\u003c/b\u003e (🥉31 ·  ⭐ 690) - TensorFlow ROCm port. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 4.9K · 🔀 99 · 📥 29 · 📋 390 - 4% open · ⏱️ 21.04.2025):\n\n\t```\n\tgit clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 6.1K / month · 📦 9 · ⏱️ 10.01.2024):\n\t```\n\tpip install tensorflow-rocm\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/determined-ai/determined\"\u003eDetermined\u003c/a\u003e\u003c/b\u003e (🥉30 ·  ⭐ 3.1K) - Determined is an open-source machine learning platform.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 13K · 📋 450 - 22% open · ⏱️ 20.03.2025):\n\n\t```\n\tgit clone https://github.com/determined-ai/determined\n\t```\n- [PyPi](https://pypi.org/project/determined) (📥 160K / month · 📦 4 · ⏱️ 19.03.2025):\n\t```\n\tpip install determined\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/geomstats/geomstats\"\u003eGeomstats\u003c/a\u003e\u003c/b\u003e (🥉29 ·  ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 95 · 🔀 250 · 📦 140 · 📋 570 - 36% open · ⏱️ 28.02.2025):\n\n\t```\n\tgit clone https://github.com/geomstats/geomstats\n\t```\n- [PyPi](https://pypi.org/project/geomstats) (📥 5.5K / month · 📦 12 · ⏱️ 09.09.2024):\n\t```\n\tpip install geomstats\n\t```\n- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 6.2K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge geomstats\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/numenta/nupic-legacy\"\u003eNuPIC\u003c/a\u003e\u003c/b\u003e (🥉28 ·  ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.6K · 📥 21 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):\n\n\t```\n\tgit clone https://github.com/numenta/nupic\n\t```\n- [PyPi](https://pypi.org/project/nupic) (📥 2.4K / month · ⏱️ 01.09.2016):\n\t```\n\tpip install nupic\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/amaiya/ktrain\"\u003ektrain\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 1.3K · 💤) - ktrain is a Python library that makes deep learning and AI.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 17 · 🔀 270 · 📦 570 · 📋 500 - 0% open · ⏱️ 09.07.2024):\n\n\t```\n\tgit clone https://github.com/amaiya/ktrain\n\t```\n- [PyPi](https://pypi.org/project/ktrain) (📥 8K / month · 📦 4 · ⏱️ 19.06.2024):\n\t```\n\tpip install ktrain\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pyRiemann/pyRiemann\"\u003epyRiemann\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 680) - Machine learning for multivariate data through the Riemannian.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 37 · 🔀 170 · 📦 450 · 📋 110 - 2% open · ⏱️ 17.04.2025):\n\n\t```\n\tgit clone https://github.com/pyRiemann/pyRiemann\n\t```\n- [PyPi](https://pypi.org/project/pyriemann) (📥 53K / month · 📦 28 · ⏱️ 12.02.2025):\n\t```\n\tpip install pyriemann\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 12K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyriemann\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/sony/nnabla\"\u003eNeural Network Libraries\u003c/a\u003e\u003c/b\u003e (🥉26 ·  ⭐ 2.7K) - Neural Network Libraries. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 15.11.2024):\n\n\t```\n\tgit clone https://github.com/sony/nnabla\n\t```\n- [PyPi](https://pypi.org/project/nnabla) (📥 7.9K / month · 📦 44 · ⏱️ 29.05.2024):\n\t```\n\tpip install nnabla\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/towhee-io/towhee\"\u003eTowhee\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 3.4K) - Towhee is a framework that is dedicated to making neural data.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 38 · 🔀 260 · 📥 2.7K · 📋 680 - 0% open · ⏱️ 18.10.2024):\n\n\t```\n\tgit clone https://github.com/towhee-io/towhee\n\t```\n- [PyPi](https://pypi.org/project/towhee) (📥 14K / month · ⏱️ 04.12.2023):\n\t```\n\tpip install towhee\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/nubank/fklearn\"\u003efklearn\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 1.5K) - fklearn: Functional Machine Learning. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/nubank/fklearn\n\t```\n- [PyPi](https://pypi.org/project/fklearn) (📥 2.4K / month · ⏱️ 26.02.2025):\n\t```\n\tpip install fklearn\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/run-house/runhouse\"\u003eRunhouse\u003c/a\u003e\u003c/b\u003e (🥉23 ·  ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/run-house/runhouse) (👨‍💻 16 · 🔀 36 · 📥 69 · 📋 51 - 17% open · ⏱️ 03.04.2025):\n\n\t```\n\tgit clone https://github.com/run-house/runhouse\n\t```\n- [PyPi](https://pypi.org/project/runhouse) (📥 25K / month · 📦 1 · ⏱️ 10.03.2025):\n\t```\n\tpip install runhouse\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/Xtra-Computing/thundersvm\"\u003eThunderSVM\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 1.6K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 37 · 🔀 220 · 📥 3K · 📋 230 - 35% open · ⏱️ 01.04.2024):\n\n\t```\n\tgit clone https://github.com/Xtra-Computing/thundersvm\n\t```\n- [PyPi](https://pypi.org/project/thundersvm) (📥 1.6K / month · ⏱️ 13.03.2020):\n\t```\n\tpip install thundersvm\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/neoml-lib/neoml\"\u003eNeoML\u003c/a\u003e\u003c/b\u003e (🥉20 ·  ⭐ 770 · 💤) - Machine learning framework for both deep learning and traditional.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 30.09.2024):\n\n\t```\n\tgit clone https://github.com/neoml-lib/neoml\n\t```\n- [PyPi](https://pypi.org/project/neoml) (📥 1.5K / month · ⏱️ 26.12.2023):\n\t```\n\tpip install neoml\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/serengil/chefboost\"\u003echefboost\u003c/a\u003e\u003c/b\u003e (🥉20 ·  ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 7 · 🔀 100 · 📦 69 · ⏱️ 31.03.2025):\n\n\t```\n\tgit clone https://github.com/serengil/chefboost\n\t```\n- [PyPi](https://pypi.org/project/chefboost) (📥 7.4K / month · ⏱️ 30.10.2024):\n\t```\n\tpip install chefboost\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/Xtra-Computing/thundergbm\"\u003eThunderGBM\u003c/a\u003e\u003c/b\u003e (🥉18 ·  ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 12 · 🔀 87 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):\n\n\t```\n\tgit clone https://github.com/Xtra-Computing/thundergbm\n\t```\n- [PyPi](https://pypi.org/project/thundergbm) (📥 540 / month · ⏱️ 19.09.2022):\n\t```\n\tpip install thundergbm\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003eShow 23 hidden projects...\u003c/summary\u003e\n\n- \u003cb\u003e\u003ca href=\"https://github.com/davisking/dlib\"\u003edlib\u003c/a\u003e\u003c/b\u003e (🥈40 ·  ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. \u003ccode\u003e\u003ca href=\"https://tldrlegal.com/search?q=BSL-1.0\"\u003e❗️BSL-1.0\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/apache/mxnet\"\u003eMXNet\u003c/a\u003e\u003c/b\u003e (🥈39 ·  ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/Theano/Theano\"\u003eTheano\u003c/a\u003e\u003c/b\u003e (🥈38 ·  ⭐ 9.9K · 💀) - Theano was a Python library that allows you to define, optimize, and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/chainer/chainer\"\u003eChainer\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/mindsdb/mindsdb\"\u003eMindsDB\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 28K) - AIs query engine - Platform for building AI that can learn and.. \u003ccode\u003e\u003ca href=\"https://tldrlegal.com/search?q=ICU\"\u003e❗️ICU\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/tensorpack/tensorpack\"\u003etensorpack\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/apple/turicreate\"\u003eTuri Create\u003c/a\u003e\u003c/b\u003e (🥉32 ·  ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/tflearn/tflearn\"\u003eTFlearn\u003c/a\u003e\u003c/b\u003e (🥉31 ·  ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/clab/dynet\"\u003edyNET\u003c/a\u003e\u003c/b\u003e (🥉31 ·  ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/microsoft/CNTK\"\u003eCNTK\u003c/a\u003e\u003c/b\u003e (🥉29 ·  ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/Lasagne/Lasagne\"\u003eLasagne\u003c/a\u003e\u003c/b\u003e (🥉28 ·  ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/shogun-toolbox/shogun\"\u003eSHOGUN\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 3K · 💀) - Unified and efficient Machine Learning. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/georgia-tech-db/evadb\"\u003eEvaDB\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 2.7K · 💀) - Database system for AI-powered apps. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/aksnzhy/xlearn\"\u003exLearn\u003c/a\u003e\u003c/b\u003e (🥉25 ·  ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/NervanaSystems/neon\"\u003eneon\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/google/neural-tangents\"\u003eNeural Tangents\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 2.3K · 💀) - Fast and Easy Infinite Neural Networks in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/itdxer/neupy\"\u003eNeuPy\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/pytorchbearer/torchbearer\"\u003eTorchbearer\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/XiaoMi/mace\"\u003emace\u003c/a\u003e\u003c/b\u003e (🥉21 ·  ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/poets-ai/elegy\"\u003eelegy\u003c/a\u003e\u003c/b\u003e (🥉20 ·  ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/google/objax\"\u003eObjax\u003c/a\u003e\u003c/b\u003e (🥉19 ·  ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/facebookresearch/StarSpace\"\u003eStarSpace\u003c/a\u003e\u003c/b\u003e (🥉16 ·  ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/HMUNACHI/NanoDL\"\u003enanodl\u003c/a\u003e\u003c/b\u003e (🥉14 ·  ⭐ 290 · 💤) - A Jax-based library for designing and training small transformers. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n\u003c/details\u003e\n\u003cbr\u003e\n\n## Data Visualization\n\n\u003ca href=\"#contents\"\u003e\u003cimg align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"\u003e\u003c/a\u003e\n\n_General-purpose and task-specific data visualization libraries._\n\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/matplotlib/matplotlib\"\u003eMatplotlib\u003c/a\u003e\u003c/b\u003e (🥇49 ·  ⭐ 21K) - matplotlib: plotting with Python. \u003ccode\u003e❗Unlicensed\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.8K · 🔀 7.8K · 📦 1.7M · 📋 11K - 14% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/matplotlib/matplotlib\n\t```\n- [PyPi](https://pypi.org/project/matplotlib) (📥 85M / month · 📦 56K · ⏱️ 27.02.2025):\n\t```\n\tpip install matplotlib\n\t```\n- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 30M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge matplotlib\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/plotly/dash\"\u003edash\u003c/a\u003e\u003c/b\u003e (🥇46 ·  ⭐ 22K) - Data Apps \u0026 Dashboards for Python. No JavaScript Required. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/plotly/dash) (👨‍💻 180 · 🔀 2.1K · 📥 88 · 📦 84K · 📋 2K - 27% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/plotly/dash\n\t```\n- [PyPi](https://pypi.org/project/dash) (📥 5.5M / month · 📦 1.6K · ⏱️ 14.04.2025):\n\t```\n\tpip install dash\n\t```\n- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.8M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dash\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/plotly/plotly.py\"\u003ePlotly\u003c/a\u003e\u003c/b\u003e (🥇46 ·  ⭐ 17K) - The interactive graphing library for Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 280 · 🔀 2.6K · 📥 160 · 📦 410K · 📋 3.2K - 20% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/plotly/plotly.py\n\t```\n- [PyPi](https://pypi.org/project/plotly) (📥 23M / month · 📦 7.8K · ⏱️ 31.03.2025):\n\t```\n\tpip install plotly\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotly) (📥 9.2M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge plotly\n\t```\n- [npm](https://www.npmjs.com/package/plotlywidget) (📥 57K / month · 📦 9 · ⏱️ 12.01.2021):\n\t```\n\tnpm install plotlywidget\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/bokeh/bokeh\"\u003eBokeh\u003c/a\u003e\u003c/b\u003e (🥇45 ·  ⭐ 20K) - Interactive Data Visualization in the browser, from Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 710 · 🔀 4.2K · 📦 100K · 📋 7.9K - 10% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/bokeh/bokeh\n\t```\n- [PyPi](https://pypi.org/project/bokeh) (📥 3.7M / month · 📦 1.9K · ⏱️ 28.03.2025):\n\t```\n\tpip install bokeh\n\t```\n- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 16M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge bokeh\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/mwaskom/seaborn\"\u003eSeaborn\u003c/a\u003e\u003c/b\u003e (🥇43 ·  ⭐ 13K) - Statistical data visualization in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 1.9K · 📥 470 · 📦 630K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):\n\n\t```\n\tgit clone https://github.com/mwaskom/seaborn\n\t```\n- [PyPi](https://pypi.org/project/seaborn) (📥 25M / month · 📦 11K · ⏱️ 25.01.2024):\n\t```\n\tpip install seaborn\n\t```\n- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 12M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge seaborn\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/vega/altair\"\u003eAltair\u003c/a\u003e\u003c/b\u003e (🥇42 ·  ⭐ 9.7K) - Declarative visualization library for Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 800 · 📥 230 · 📦 220K · 📋 2.1K - 6% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/altair-viz/altair\n\t```\n- [PyPi](https://pypi.org/project/altair) (📥 28M / month · 📦 920 · ⏱️ 23.11.2024):\n\t```\n\tpip install altair\n\t```\n- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.7M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge altair\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/voxel51/fiftyone\"\u003eFiftyOne\u003c/a\u003e\u003c/b\u003e (🥈39 ·  ⭐ 9.4K) - Visualize, create, and debug image and video datasets.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 150 · 🔀 620 · 📦 930 · 📋 1.7K - 33% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/voxel51/fiftyone\n\t```\n- [PyPi](https://pypi.org/project/fiftyone) (📥 150K / month · 📦 26 · ⏱️ 04.04.2025):\n\t```\n\tpip install fiftyone\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pyvista/pyvista\"\u003ePyVista\u003c/a\u003e\u003c/b\u003e (🥈39 ·  ⭐ 3K) - 3D plotting and mesh analysis through a streamlined interface for the.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 170 · 🔀 550 · 📥 890 · 📦 4.6K · 📋 1.9K - 36% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/pyvista/pyvista\n\t```\n- [PyPi](https://pypi.org/project/pyvista) (📥 600K / month · 📦 690 · ⏱️ 19.04.2025):\n\t```\n\tpip install pyvista\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 670K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyvista\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/ydataai/ydata-profiling\"\u003epandas-profiling\u003c/a\u003e\u003c/b\u003e (🥈38 ·  ⭐ 13K) - 1 Line of code data quality profiling \u0026 exploratory.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 310 · 📦 6.2K · 📋 840 - 29% open · ⏱️ 26.03.2025):\n\n\t```\n\tgit clone https://github.com/ydataai/pandas-profiling\n\t```\n- [PyPi](https://pypi.org/project/pandas-profiling) (📥 370K / month · 📦 180 · ⏱️ 03.02.2023):\n\t```\n\tpip install pandas-profiling\n\t```\n- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 510K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pandas-profiling\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/holoviz/holoviews\"\u003eHoloViews\u003c/a\u003e\u003c/b\u003e (🥈38 ·  ⭐ 2.8K · 📉) - With Holoviews, your data visualizes itself. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 150 · 🔀 410 · 📦 15K · 📋 3.4K - 32% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/holoviews\n\t```\n- [PyPi](https://pypi.org/project/holoviews) (📥 510K / month · 📦 430 · ⏱️ 31.03.2025):\n\t```\n\tpip install holoviews\n\t```\n- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge holoviews\n\t```\n- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 220 / month · 📦 5 · ⏱️ 14.01.2025):\n\t```\n\tnpm install @pyviz/jupyterlab_pyviz\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pyqtgraph/pyqtgraph\"\u003ePyQtGraph\u003c/a\u003e\u003c/b\u003e (🥈37 ·  ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 12K · 📋 1.3K - 32% open · ⏱️ 08.04.2025):\n\n\t```\n\tgit clone https://github.com/pyqtgraph/pyqtgraph\n\t```\n- [PyPi](https://pypi.org/project/pyqtgraph) (📥 390K / month · 📦 1K · ⏱️ 29.04.2024):\n\t```\n\tpip install pyqtgraph\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 680K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyqtgraph\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pyecharts/pyecharts\"\u003epyecharts\u003c/a\u003e\u003c/b\u003e (🥈36 ·  ⭐ 15K) - Python Echarts Plotting Library. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 73 · 📦 5.3K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):\n\n\t```\n\tgit clone https://github.com/pyecharts/pyecharts\n\t```\n- [PyPi](https://pypi.org/project/pyecharts) (📥 200K / month · 📦 220 · ⏱️ 24.01.2025):\n\t```\n\tpip install pyecharts\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/has2k1/plotnine\"\u003eplotnine\u003c/a\u003e\u003c/b\u003e (🥈36 ·  ⭐ 4.2K) - A Grammar of Graphics for Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 230 · 📦 12K · 📋 710 - 10% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/has2k1/plotnine\n\t```\n- [PyPi](https://pypi.org/project/plotnine) (📥 2.3M / month · 📦 370 · ⏱️ 23.04.2025):\n\t```\n\tpip install plotnine\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 460K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge plotnine\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/xflr6/graphviz\"\u003eGraphviz\u003c/a\u003e\u003c/b\u003e (🥈36 ·  ⭐ 1.7K · 💤) - Simple Python interface for Graphviz. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 23 · 🔀 210 · 📦 88K · 📋 190 - 6% open · ⏱️ 13.05.2024):\n\n\t```\n\tgit clone https://github.com/xflr6/graphviz\n\t```\n- [PyPi](https://pypi.org/project/graphviz) (📥 18M / month · 📦 2.9K · ⏱️ 21.03.2024):\n\t```\n\tpip install graphviz\n\t```\n- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 54K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda python-graphviz\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/vispy/vispy\"\u003eVisPy\u003c/a\u003e\u003c/b\u003e (🥈35 ·  ⭐ 3.4K · 📈) - High-performance interactive 2D/3D data visualization library. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/vispy/vispy) (👨‍💻 200 · 🔀 620 · 📦 2K · 📋 1.5K - 25% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/vispy/vispy\n\t```\n- [PyPi](https://pypi.org/project/vispy) (📥 150K / month · 📦 200 · ⏱️ 22.04.2025):\n\t```\n\tpip install vispy\n\t```\n- [Conda](https://anaconda.org/conda-forge/vispy) (📥 790K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge vispy\n\t```\n- [npm](https://www.npmjs.com/package/vispy) (📥 23 / month · 📦 3 · ⏱️ 15.03.2020):\n\t```\n\tnpm install vispy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/finos/perspective\"\u003ePerspective\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 9.1K) - A data visualization and analytics component, especially.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/finos/perspective) (👨‍💻 99 · 🔀 1.2K · 📥 11K · 📦 180 · 📋 880 - 12% open · ⏱️ 11.04.2025):\n\n\t```\n\tgit clone https://github.com/finos/perspective\n\t```\n- [PyPi](https://pypi.org/project/perspective-python) (📥 20K / month · 📦 30 · ⏱️ 11.04.2025):\n\t```\n\tpip install perspective-python\n\t```\n- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge perspective\n\t```\n- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 680 / month · 📦 6 · ⏱️ 11.04.2025):\n\t```\n\tnpm install @finos/perspective-jupyterlab\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/holoviz/datashader\"\u003edatashader\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 3.4K) - Quickly and accurately render even the largest data. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 62 · 🔀 370 · 📦 5.9K · 📋 600 - 23% open · ⏱️ 10.04.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/datashader\n\t```\n- [PyPi](https://pypi.org/project/datashader) (📥 190K / month · 📦 240 · ⏱️ 10.04.2025):\n\t```\n\tpip install datashader\n\t```\n- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.4M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge datashader\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/SciTools/cartopy\"\u003ecartopy\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 130 · 🔀 380 · 📦 7.3K · 📋 1.3K - 24% open · ⏱️ 17.04.2025):\n\n\t```\n\tgit clone https://github.com/SciTools/cartopy\n\t```\n- [PyPi](https://pypi.org/project/cartopy) (📥 550K / month · 📦 720 · ⏱️ 08.10.2024):\n\t```\n\tpip install cartopy\n\t```\n- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.7M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge cartopy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/amueller/word_cloud\"\u003ewordcloud\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 10K) - A little word cloud generator in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 73 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 12.04.2025):\n\n\t```\n\tgit clone https://github.com/amueller/word_cloud\n\t```\n- [PyPi](https://pypi.org/project/wordcloud) (📥 1.8M / month · 📦 550 · ⏱️ 10.11.2024):\n\t```\n\tpip install wordcloud\n\t```\n- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 660K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge wordcloud\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/JetBrains/lets-plot\"\u003elets-plot\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 53 · 📥 3.2K · 📦 180 · 📋 680 - 23% open · ⏱️ 21.04.2025):\n\n\t```\n\tgit clone https://github.com/JetBrains/lets-plot\n\t```\n- [PyPi](https://pypi.org/project/lets-plot) (📥 54K / month · 📦 15 · ⏱️ 28.03.2025):\n\t```\n\tpip install lets-plot\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/lmcinnes/umap\"\u003eUMAP\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 7.7K) - Uniform Manifold Approximation and Projection. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 820 · 📦 1 · 📋 850 - 59% open · ⏱️ 28.02.2025):\n\n\t```\n\tgit clone https://github.com/lmcinnes/umap\n\t```\n- [PyPi](https://pypi.org/project/umap-learn) (📥 1.6M / month · 📦 1.1K · ⏱️ 28.10.2024):\n\t```\n\tpip install umap-learn\n\t```\n- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge umap-learn\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/holoviz/hvplot\"\u003ehvPlot\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 51 · 🔀 110 · 📦 7K · 📋 860 - 43% open · ⏱️ 16.04.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/hvplot\n\t```\n- [PyPi](https://pypi.org/project/hvplot) (📥 210K / month · 📦 220 · ⏱️ 16.12.2024):\n\t```\n\tpip install hvplot\n\t```\n- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 750K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge hvplot\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/mpld3/mpld3\"\u003empld3\u003c/a\u003e\u003c/b\u003e (🥉31 ·  ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 53 · 🔀 360 · 📦 7.3K · 📋 370 - 59% open · ⏱️ 30.10.2024):\n\n\t```\n\tgit clone https://github.com/mpld3/mpld3\n\t```\n- [PyPi](https://pypi.org/project/mpld3) (📥 340K / month · 📦 150 · ⏱️ 23.12.2023):\n\t```\n\tpip install mpld3\n\t```\n- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 230K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mpld3\n\t```\n- [npm](https://www.npmjs.com/package/mpld3) (📥 1.1K / month · 📦 9 · ⏱️ 23.12.2023):\n\t```\n\tnpm install mpld3\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/man-group/dtale\"\u003eD-Tale\u003c/a\u003e\u003c/b\u003e (🥉30 ·  ⭐ 4.9K) - Visualizer for pandas data structures. \u003ccode\u003e\u003ca href=\"https://tldrlegal.com/search?q=LGPL-2.1\"\u003e❗️LGPL-2.1\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/man-group/dtale) (👨‍💻 30 · 🔀 420 · 📦 1.4K · 📋 600 - 10% open · ⏱️ 20.03.2025):\n\n\t```\n\tgit clone https://github.com/man-group/dtale\n\t```\n- [PyPi](https://pypi.org/project/dtale) (📥 180K / month · 📦 53 · ⏱️ 20.03.2025):\n\t```\n\tpip install dtale\n\t```\n- [Conda](https://anaconda.org/conda-forge/dtale) (📥 410K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dtale\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/bqplot/bqplot\"\u003ebqplot\u003c/a\u003e\u003c/b\u003e (🥉30 ·  ⭐ 3.7K) - Plotting library for IPython/Jupyter notebooks. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):\n\n\t```\n\tgit clone https://github.com/bqplot/bqplot\n\t```\n- [PyPi](https://pypi.org/project/bqplot) (📥 180K / month · 📦 110 · ⏱️ 24.12.2024):\n\t```\n\tpip install bqplot\n\t```\n- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.6M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge bqplot\n\t```\n- [npm](https://www.npmjs.com/package/bqplot) (📥 2K / month · 📦 21 · ⏱️ 24.12.2024):\n\t```\n\tnpm install bqplot\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/AutoViML/AutoViz\"\u003eAutoViz\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 17 · 🔀 200 · 📦 860 · 📋 98 - 2% open · ⏱️ 10.06.2024):\n\n\t```\n\tgit clone https://github.com/AutoViML/AutoViz\n\t```\n- [PyPi](https://pypi.org/project/autoviz) (📥 17K / month · 📦 11 · ⏱️ 10.06.2024):\n\t```\n\tpip install autoviz\n\t```\n- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 83K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge autoviz\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pavlin-policar/openTSNE\"\u003eopenTSNE\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 13 · 🔀 170 · 📦 1K · 📋 140 - 7% open · ⏱️ 24.10.2024):\n\n\t```\n\tgit clone https://github.com/pavlin-policar/openTSNE\n\t```\n- [PyPi](https://pypi.org/project/opentsne) (📥 43K / month · 📦 47 · ⏱️ 13.08.2024):\n\t```\n\tpip install opentsne\n\t```\n- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 420K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge opentsne\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/predict-idlab/plotly-resampler\"\u003ePlotly-Resampler\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 1.1K) - Visualize large time series data with plotly.py. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 72 · 📦 1.9K · 📋 180 - 32% open · ⏱️ 07.04.2025):\n\n\t```\n\tgit clone https://github.com/predict-idlab/plotly-resampler\n\t```\n- [PyPi](https://pypi.org/project/plotly-resampler) (📥 480K / month · 📦 31 · ⏱️ 07.04.2025):\n\t```\n\tpip install plotly-resampler\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge plotly-resampler\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/spotify/chartify\"\u003eChartify\u003c/a\u003e\u003c/b\u003e (🥉25 ·  ⭐ 3.6K) - Python library that makes it easy for data scientists to create.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/spotify/chartify) (👨‍💻 27 · 🔀 320 · 📦 82 · 📋 83 - 61% open · ⏱️ 16.10.2024):\n\n\t```\n\tgit clone https://github.com/spotify/chartify\n\t```\n- [PyPi](https://pypi.org/project/chartify) (📥 2K / month · 📦 9 · ⏱️ 16.10.2024):\n\t```\n\tpip install chartify\n\t```\n- [Conda](https://anaconda.org/conda-forge/chartify) (📥 37K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge chartify\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/tensorflow/data-validation\"\u003edata-validation\u003c/a\u003e\u003c/b\u003e (🥉25 ·  ⭐ 770) - Library for exploring and validating machine learning.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 27 · 🔀 170 · 📥 980 · 📋 180 - 21% open · ⏱️ 12.03.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/data-validation\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 140K / month · 📦 31 · ⏱️ 15.10.2024):\n\t```\n\tpip install tensorflow-data-validation\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/marcharper/python-ternary\"\u003epython-ternary\u003c/a\u003e\u003c/b\u003e (🥉25 ·  ⭐ 760 · 💤) - Ternary plotting library for python with matplotlib. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 28 · 🔀 160 · 📥 36 · 📦 220 · 📋 140 - 24% open · ⏱️ 12.06.2024):\n\n\t```\n\tgit clone https://github.com/marcharper/python-ternary\n\t```\n- [PyPi](https://pypi.org/project/python-ternary) (📥 19K / month · 📦 32 · ⏱️ 17.02.2021):\n\t```\n\tpip install python-ternary\n\t```\n- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 100K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge python-ternary\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/gyli/PyWaffle\"\u003ePyWaffle\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 600 · 💤) - Make Waffle Charts in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 110 · 📦 510 · 📋 22 - 27% open · ⏱️ 16.06.2024):\n\n\t```\n\tgit clone https://github.com/gyli/PyWaffle\n\t```\n- [PyPi](https://pypi.org/project/pywaffle) (📥 13K / month · 📦 6 · ⏱️ 16.06.2024):\n\t```\n\tpip install pywaffle\n\t```\n- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 16K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pywaffle\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/vega/ipyvega\"\u003evega\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):\n\n\t```\n\tgit clone https://github.com/vega/ipyvega\n\t```\n- [PyPi](https://pypi.org/project/vega) (📥 17K / month · 📦 17 · ⏱️ 25.09.2024):\n\t```\n\tpip install vega\n\t```\n- [Conda](https://anaconda.org/conda-forge/vega) (📥 730K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge vega\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/ing-bank/popmon\"\u003ePopmon\u003c/a\u003e\u003c/b\u003e (🥉21 ·  ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):\n\n\t```\n\tgit clone https://github.com/ing-bank/popmon\n\t```\n- [PyPi](https://pypi.org/project/popmon) (📥 13K / month · 📦 4 · ⏱️ 24.01.2025):\n\t```\n\tpip install popmon\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/t-makaro/animatplot\"\u003eanimatplot\u003c/a\u003e\u003c/b\u003e (🥉20 ·  ⭐ 420 · 💤) - A python package for animating plots build on matplotlib. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 6 · 🔀 38 · 📦 74 · 📋 37 - 45% open · ⏱️ 29.08.2024):\n\n\t```\n\tgit clone https://github.com/t-makaro/animatplot\n\t```\n- [PyPi](https://pypi.org/project/animatplot) (📥 850 / month · 📦 4 · ⏱️ 29.08.2024):\n\t```\n\tpip install animatplot\n\t```\n- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 17K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge animatplot\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/vega/vegafusion\"\u003evegafusion\u003c/a\u003e\u003c/b\u003e (🥉20 ·  ⭐ 350) - Serverside scaling for Vega and Altair visualizations. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 6 · 🔀 20 · 📥 12K · 📋 140 - 36% open · ⏱️ 23.02.2025):\n\n\t```\n\tgit clone https://github.com/vegafusion/vegafusion\n\t```\n- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 2.4K / month · 📦 2 · ⏱️ 09.05.2024):\n\t```\n\tpip install vegafusion-jupyter\n\t```\n- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 420K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge vegafusion-python-embed\n\t```\n- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 310 / month · 📦 3 · ⏱️ 09.05.2024):\n\t```\n\tnpm install vegafusion-jupyter\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/beringresearch/ivis\"\u003eivis\u003c/a\u003e\u003c/b\u003e (🥉19 ·  ⭐ 330 · 💤) - Dimensionality reduction in very large datasets using Siamese.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 10 · 🔀 43 · 📦 37 · 📋 60 - 5% open · ⏱️ 29.09.2024):\n\n\t```\n\tgit clone https://github.com/beringresearch/ivis\n\t```\n- [PyPi](https://pypi.org/project/ivis) (📥 1.8K / month · 📦 2 · ⏱️ 13.06.2024):\n\t```\n\tpip install ivis\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003eShow 18 hidden projects...\u003c/summary\u003e\n\n- \u003cb\u003e\u003ca href=\"https://github.com/ResidentMario/missingno\"\u003emissingno\u003c/a\u003e\u003c/b\u003e (🥉30 ·  ⭐ 4.1K · 💀) - Missing data visualization module for Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/santosjorge/cufflinks\"\u003eCufflinks\u003c/a\u003e\u003c/b\u003e (🥉28 ·  ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/jupyter-widgets/pythreejs\"\u003epythreejs\u003c/a\u003e\u003c/b\u003e (🥉28 ·  ⭐ 960 · 💀) - A Jupyter - Three.js bridge. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/PAIR-code/facets\"\u003eFacets Overview\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/fbdesignpro/sweetviz\"\u003eSweetviz\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 3K · 💀) - Visualize and compare datasets, target values and associations, with.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/facebookresearch/hiplot\"\u003eHiPlot\u003c/a\u003e\u003c/b\u003e (🥉26 ·  ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/ContextLab/hypertools\"\u003eHyperTools\u003c/a\u003e\u003c/b\u003e (🥉25 ·  ⭐ 1.8K · 💀) - A Python toolbox for gaining geometric insights into high-.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/adamerose/PandasGUI\"\u003ePandasGUI\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 3.2K · 💀) - A GUI for Pandas DataFrames. \u003ccode\u003e\u003ca href=\"https://tldrlegal.com/search?q=MIT-0\"\u003e❗️MIT-0\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/DmitryUlyanov/Multicore-TSNE\"\u003eMulticore-TSNE\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/tpvasconcelos/ridgeplot\"\u003eridgeplot\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 230) - Beautiful ridgeline plots in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/PatrikHlobil/Pandas-Bokeh\"\u003ePandas-Bokeh\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/nicolaskruchten/jupyter_pivottablejs\"\u003epivottablejs\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 700 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/leotac/joypy\"\u003ejoypy\u003c/a\u003e\u003c/b\u003e (🥉22 ·  ⭐ 590 · 💀) - Joyplots in Python with matplotlib \u0026 pandas. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/SauceCat/PDPbox\"\u003ePDPbox\u003c/a\u003e\u003c/b\u003e (🥉21 ·  ⭐ 850 · 💀) - python partial dependence plot toolbox. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/altair-viz/pdvega\"\u003epdvega\u003c/a\u003e\u003c/b\u003e (🥉16 ·  ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/data-describe/data-describe\"\u003edata-describe\u003c/a\u003e\u003c/b\u003e (🥉15 ·  ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/Zsailer/nx_altair\"\u003enx-altair\u003c/a\u003e\u003c/b\u003e (🥉15 ·  ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\n- \u003cb\u003e\u003ca href=\"https://github.com/biovault/nptsne\"\u003enptsne\u003c/a\u003e\u003c/b\u003e (🥉13 ·  ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\n\u003c/details\u003e\n\u003cbr\u003e\n\n## Text Data \u0026 NLP\n\n\u003ca href=\"#contents\"\u003e\u003cimg align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"\u003e\u003c/a\u003e\n\n_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._\n\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/huggingface/transformers\"\u003etransformers\u003c/a\u003e\u003c/b\u003e (🥇54 ·  ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 3.2K · 🔀 29K · 📦 340K · 📋 18K - 9% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/transformers\n\t```\n- [PyPi](https://pypi.org/project/transformers) (📥 62M / month · 📦 8.4K · ⏱️ 14.04.2025):\n\t```\n\tpip install transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.7M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge transformers\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/nltk/nltk\"\u003enltk\u003c/a\u003e\u003c/b\u003e (🥇45 ·  ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/nltk/nltk) (👨‍💻 470 · 🔀 2.9K · 📦 380K · 📋 1.9K - 14% open · ⏱️ 15.03.2025):\n\n\t```\n\tgit clone https://github.com/nltk/nltk\n\t```\n- [PyPi](https://pypi.org/project/nltk) (📥 33M / month · 📦 4.7K · ⏱️ 18.08.2024):\n\t```\n\tpip install nltk\n\t```\n- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge nltk\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/explosion/spaCy\"\u003espaCy\u003c/a\u003e\u003c/b\u003e (🥇43 ·  ⭐ 31K) - Industrial-strength Natural Language Processing (NLP) in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 760 · 🔀 4.5K · 📥 2.2K · 📦 130K · 📋 5.7K - 3% open · ⏱️ 11.04.2025):\n\n\t```\n\tgit clone https://github.com/explosion/spaCy\n\t```\n- [PyPi](https://pypi.org/project/spacy) (📥 18M / month · 📦 3.1K · ⏱️ 01.04.2025):\n\t```\n\tpip install spacy\n\t```\n- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.8M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge spacy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/BerriAI/litellm\"\u003elitellm\u003c/a\u003e\u003c/b\u003e (🥇43 ·  ⭐ 21K · 📉) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003eo\u003c/code\u003e \u003ccode\u003et\u003c/code\u003e \u003ccode\u003eh\u003c/code\u003e \u003ccode\u003ee\u003c/code\u003e \u003ccode\u003er\u003c/code\u003e \u003ccode\u003es\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 490 · 🔀 2.7K · 📥 630 · 📦 11K · 📋 5.5K - 30% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/BerriAI/litellm\n\t```\n- [PyPi](https://pypi.org/project/litellm) (📥 7.4M / month · 📦 1.1K · ⏱️ 24.04.2025):\n\t```\n\tpip install litellm\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/UKPLab/sentence-transformers\"\u003esentence-transformers\u003c/a\u003e\u003c/b\u003e (🥇43 ·  ⭐ 17K · 📉) - State-of-the-Art Text Embeddings. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 220 · 🔀 2.6K · 📦 96K · 📋 2.4K - 52% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/UKPLab/sentence-transformers\n\t```\n- [PyPi](https://pypi.org/project/sentence-transformers) (📥 8.9M / month · 📦 2.4K · ⏱️ 15.04.2025):\n\t```\n\tpip install sentence-transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 660K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sentence-transformers\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/flairNLP/flair\"\u003eflair\u003c/a\u003e\u003c/b\u003e (🥇40 ·  ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 3.9K · 📋 2.4K - 4% open · ⏱️ 31.03.2025):\n\n\t```\n\tgit clone https://github.com/flairNLP/flair\n\t```\n- [PyPi](https://pypi.org/project/flair) (📥 110K / month · 📦 150 · ⏱️ 05.02.2025):\n\t```\n\tpip install flair\n\t```\n- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 41K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge python-flair\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/RasaHQ/rasa\"\u003eRasa\u003c/a\u003e\u003c/b\u003e (🥇39 ·  ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 590 · 🔀 4.8K · 📦 5.1K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):\n\n\t```\n\tgit clone https://github.com/RasaHQ/rasa\n\t```\n- [PyPi](https://pypi.org/project/rasa) (📥 220K / month · 📦 60 · ⏱️ 14.01.2025):\n\t```\n\tpip install rasa\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/huggingface/tokenizers\"\u003eTokenizers\u003c/a\u003e\u003c/b\u003e (🥇39 ·  ⭐ 9.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 110 · 🔀 870 · 📥 74 · 📦 160K · 📋 1.1K - 7% open · ⏱️ 18.03.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/tokenizers\n\t```\n- [PyPi](https://pypi.org/project/tokenizers) (📥 51M / month · 📦 1.3K · ⏱️ 13.03.2025):\n\t```\n\tpip install tokenizers\n\t```\n- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 2.9M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tokenizers\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/deepset-ai/haystack\"\u003ehaystack\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 20K) - AI orchestration framework to build customizable, production-ready.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 290 · 🔀 2.1K · 📦 1.1K · 📋 3.9K - 3% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/deepset-ai/haystack\n\t```\n- [PyPi](https://pypi.org/project/haystack) (📥 5.9K / month · 📦 5 · ⏱️ 15.12.2021):\n\t```\n\tpip install haystack\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/piskvorky/gensim\"\u003egensim\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 16K) - Topic Modelling for Humans. \u003ccode\u003e\u003ca href=\"https://tldrlegal.com/search?q=LGPL-2.1\"\u003e❗️LGPL-2.1\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 6K · 📦 75K · 📋 1.9K - 21% open · ⏱️ 14.02.2025):\n\n\t```\n\tgit clone https://github.com/RaRe-Technologies/gensim\n\t```\n- [PyPi](https://pypi.org/project/gensim) (📥 4.8M / month · 📦 1.4K · ⏱️ 19.07.2024):\n\t```\n\tpip install gensim\n\t```\n- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.6M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge gensim\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/gunthercox/ChatterBot\"\u003eChatterBot\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 110 · 🔀 4.5K · 📦 6.3K · 📋 1.7K - 8% open · ⏱️ 08.04.2025):\n\n\t```\n\tgit clone https://github.com/gunthercox/ChatterBot\n\t```\n- [PyPi](https://pypi.org/project/chatterbot) (📥 32K / month · 📦 18 · ⏱️ 05.04.2025):\n\t```\n\tpip install chatterbot\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/NVIDIA/NeMo\"\u003eNeMo\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 14K) - A scalable generative AI framework built for researchers and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 410 · 🔀 2.8K · 📥 420K · 📦 21 · 📋 2.6K - 6% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/NVIDIA/NeMo\n\t```\n- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 300K / month · 📦 14 · ⏱️ 21.04.2025):\n\t```\n\tpip install nemo-toolkit\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/google/sentencepiece\"\u003esentencepiece\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 92 · 🔀 1.2K · 📥 56K · 📦 110K · 📋 780 - 6% open · ⏱️ 26.02.2025):\n\n\t```\n\tgit clone https://github.com/google/sentencepiece\n\t```\n- [PyPi](https://pypi.org/project/sentencepiece) (📥 28M / month · 📦 1.7K · ⏱️ 19.02.2024):\n\t```\n\tpip install sentencepiece\n\t```\n- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sentencepiece\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/sloria/TextBlob\"\u003eTextBlob\u003c/a\u003e\u003c/b\u003e (🥇38 ·  ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 120 · 📦 55K · 📋 280 - 34% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/sloria/TextBlob\n\t```\n- [PyPi](https://pypi.org/project/textblob) (📥 1.3M / month · 📦 400 · ⏱️ 13.01.2025):\n\t```\n\tpip install textblob\n\t```\n- [Conda](https://anaconda.org/conda-forge/textblob) (📥 280K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge textblob\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/facebookresearch/fairseq\"\u003efairseq\u003c/a\u003e\u003c/b\u003e (🥈37 ·  ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.5K · 📥 400 · 📦 4.2K · 📋 4.4K - 30% open · ⏱️ 18.10.2024):\n\n\t```\n\tgit clone https://github.com/facebookresearch/fairseq\n\t```\n- [PyPi](https://pypi.org/project/fairseq) (📥 94K / month · 📦 120 · ⏱️ 27.06.2022):\n\t```\n\tpip install fairseq\n\t```\n- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 140K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge fairseq\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/tensorflow/text\"\u003eTensorFlow Text\u003c/a\u003e\u003c/b\u003e (🥈36 ·  ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/tensorflow/text) (👨‍💻 180 · 🔀 350 · 📦 9.1K · 📋 370 - 52% open · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/text\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-text) (📥 7M / month · 📦 230 · ⏱️ 04.04.2025):\n\t```\n\tpip install tensorflow-text\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/JohnSnowLabs/spark-nlp\"\u003espark-nlp\u003c/a\u003e\u003c/b\u003e (🥈35 ·  ⭐ 4K) - State of the Art Natural Language Processing. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 110 · 🔀 720 · 📦 590 · 📋 930 - 5% open · ⏱️ 20.02.2025):\n\n\t```\n\tgit clone https://github.com/JohnSnowLabs/spark-nlp\n\t```\n- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.2M / month · 📦 37 · ⏱️ 30.01.2025):\n\t```\n\tpip install spark-nlp\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/qdrant/qdrant\"\u003eqdrant\u003c/a\u003e\u003c/b\u003e (🥈34 ·  ⭐ 23K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 130 · 🔀 1.6K · 📥 380K · 📦 120 · 📋 1.5K - 23% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/qdrant/qdrant\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/stanfordnlp/stanza\"\u003estanza\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 7.4K) - Stanford NLP Python library for tokenization, sentence segmentation,.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 69 · 🔀 900 · 📦 3.8K · 📋 920 - 10% open · ⏱️ 24.12.2024):\n\n\t```\n\tgit clone https://github.com/stanfordnlp/stanza\n\t```\n- [PyPi](https://pypi.org/project/stanza) (📥 360K / month · 📦 200 · ⏱️ 24.12.2024):\n\t```\n\tpip install stanza\n\t```\n- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.6K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c stanfordnlp stanza\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/OpenNMT/OpenNMT-py\"\u003eOpenNMT\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 6.9K · 💤) - Open Source Neural Machine Translation and (Large) Language.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.3K · 📦 330 · 📋 1.5K - 2% open · ⏱️ 27.06.2024):\n\n\t```\n\tgit clone https://github.com/OpenNMT/OpenNMT-py\n\t```\n- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 13K / month · 📦 23 · ⏱️ 18.03.2024):\n\t```\n\tpip install OpenNMT-py\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/jamesturk/jellyfish\"\u003ejellyfish\u003c/a\u003e\u003c/b\u003e (🥈33 ·  ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 34 · 🔀 160 · 📦 14K · 📋 140 - 2% open · ⏱️ 31.03.2025):\n\n\t```\n\tgit clone https://github.com/jamesturk/jellyfish\n\t```\n- [PyPi](https://pypi.org/project/jellyfish) (📥 7.5M / month · 📦 300 · ⏱️ 31.03.2025):\n\t```\n\tpip install jellyfish\n\t```\n- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jellyfish\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/comet-ml/opik\"\u003eOpik\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 6.8K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 50 · 🔀 490 · 📥 12 · 📦 6 · 📋 260 - 29% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/comet-ml/opik\n\t```\n- [PyPi](https://pypi.org/project/opik) (📥 210K / month · 📦 10 · ⏱️ 23.04.2025):\n\t```\n\tpip install opik\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/argilla-io/argilla\"\u003erubrix\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 420 · 📦 3K · 📋 2.2K - 2% open · ⏱️ 10.03.2025):\n\n\t```\n\tgit clone https://github.com/recognai/rubrix\n\t```\n- [PyPi](https://pypi.org/project/rubrix) (📥 3.6K / month · ⏱️ 24.10.2022):\n\t```\n\tpip install rubrix\n\t```\n- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 44K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge rubrix\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/pytorch/text\"\u003etorchtext\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 24.02.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/text\n\t```\n- [PyPi](https://pypi.org/project/torchtext) (📥 840K / month · 📦 280 · ⏱️ 24.04.2024):\n\t```\n\tpip install torchtext\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/snowballstem/snowball\"\u003esnowballstemmer\u003c/a\u003e\u003c/b\u003e (🥈32 ·  ⭐ 780) - Snowball compiler and stemming algorithms. \u003ccode\u003e\u003ca href=\"http://bit.ly/3aKzpTv\"\u003eBSD-3\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 35 · 🔀 170 · 📦 10 · 📋 110 - 22% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/snowballstem/snowball\n\t```\n- [PyPi](https://pypi.org/project/snowballstemmer) (📥 19M / month · 📦 450 · ⏱️ 16.11.2021):\n\t```\n\tpip install snowballstemmer\n\t```\n- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.6M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge snowballstemmer\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/deeppavlov/DeepPavlov\"\u003eDeepPavlov\u003c/a\u003e\u003c/b\u003e (🥈31 ·  ⭐ 6.9K) - An open source library for deep learning end-to-end dialog.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 78 · 🔀 1.2K · 📦 430 · 📋 640 - 4% open · ⏱️ 26.11.2024):\n\n\t```\n\tgit clone https://github.com/deepmipt/DeepPavlov\n\t```\n- [PyPi](https://pypi.org/project/deeppavlov) (📥 12K / month · 📦 4 · ⏱️ 12.08.2024):\n\t```\n\tpip install deeppavlov\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/rspeer/python-ftfy\"\u003eftfy\u003c/a\u003e\u003c/b\u003e (🥈31 ·  ⭐ 3.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 20 · 🔀 120 · 📥 59 · 📦 30K · 📋 150 - 6% open · ⏱️ 30.10.2024):\n\n\t```\n\tgit clone https://github.com/rspeer/python-ftfy\n\t```\n- [PyPi](https://pypi.org/project/ftfy) (📥 6M / month · 📦 570 · ⏱️ 26.10.2024):\n\t```\n\tpip install ftfy\n\t```\n- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 320K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge ftfy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/dedupeio/dedupe\"\u003eDedupe\u003c/a\u003e\u003c/b\u003e (🥈30 ·  ⭐ 4.3K) - A python library for accurate and scalable fuzzy matching, record.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 550 · 📦 360 · 📋 820 - 9% open · ⏱️ 01.11.2024):\n\n\t```\n\tgit clone https://github.com/dedupeio/dedupe\n\t```\n- [PyPi](https://pypi.org/project/dedupe) (📥 92K / month · 📦 19 · ⏱️ 15.08.2024):\n\t```\n\tpip install dedupe\n\t```\n- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dedupe\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/miso-belica/sumy\"\u003eSumy\u003c/a\u003e\u003c/b\u003e (🥈30 ·  ⭐ 3.6K · 💤) - Module for automatic summarization of text documents and HTML pages. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 32 · 🔀 530 · 📦 3.9K · 📋 120 - 18% open · ⏱️ 16.05.2024):\n\n\t```\n\tgit clone https://github.com/miso-belica/sumy\n\t```\n- [PyPi](https://pypi.org/project/sumy) (📥 120K / month · 📦 31 · ⏱️ 23.10.2022):\n\t```\n\tpip install sumy\n\t```\n- [Conda](https://anaconda.org/conda-forge/sumy) (📥 12K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sumy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/explosion/spacy-transformers\"\u003espacy-transformers\u003c/a\u003e\u003c/b\u003e (🥈29 ·  ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003espacy\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 23 · 🔀 170 · 📥 170 · 📦 2.2K · ⏱️ 06.02.2025):\n\n\t```\n\tgit clone https://github.com/explosion/spacy-transformers\n\t```\n- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 98 · ⏱️ 06.02.2025):\n\t```\n\tpip install spacy-transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge spacy-transformers\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/life4/textdistance\"\u003eTextDistance\u003c/a\u003e\u003c/b\u003e (🥈28 ·  ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/life4/textdistance) (👨‍💻 18 · 🔀 250 · 📥 1.1K · 📦 8.4K · ⏱️ 18.04.2025):\n\n\t```\n\tgit clone https://github.com/life4/textdistance\n\t```\n- [PyPi](https://pypi.org/project/textdistance) (📥 1M / month · 📦 99 · ⏱️ 16.07.2024):\n\t```\n\tpip install textdistance\n\t```\n- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 800K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge textdistance\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/allenai/scispacy\"\u003eSciSpacy\u003c/a\u003e\u003c/b\u003e (🥈28 ·  ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 37 · 🔀 230 · 📦 1.2K · 📋 320 - 10% open · ⏱️ 23.11.2024):\n\n\t```\n\tgit clone https://github.com/allenai/scispacy\n\t```\n- [PyPi](https://pypi.org/project/scispacy) (📥 39K / month · 📦 34 · ⏱️ 27.10.2024):\n\t```\n\tpip install scispacy\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/dwyl/english-words\"\u003eenglish-words\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 11K) - A text file containing 479k English words for all your.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3rvuUlR\"\u003eUnlicense\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 74% open · ⏱️ 06.01.2025):\n\n\t```\n\tgit clone https://github.com/dwyl/english-words\n\t```\n- [PyPi](https://pypi.org/project/english-words) (📥 63K / month · 📦 14 · ⏱️ 24.05.2023):\n\t```\n\tpip install english-words\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/DerwenAI/pytextrank\"\u003ePyTextRank\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 2.2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 19 · 🔀 340 · 📦 840 · 📋 100 - 12% open · ⏱️ 21.05.2024):\n\n\t```\n\tgit clone https://github.com/DerwenAI/pytextrank\n\t```\n- [PyPi](https://pypi.org/project/pytextrank) (📥 73K / month · 📦 19 · ⏱️ 21.02.2024):\n\t```\n\tpip install pytextrank\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/cltk/cltk\"\u003eCLTK\u003c/a\u003e\u003c/b\u003e (🥉27 ·  ⭐ 850) - The Classical Language Toolkit. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 330 · 📥 130 · 📦 300 · 📋 580 - 6% open · ⏱️ 01.12.2024):\n\n\t```\n\tgit clone https://github.com/cltk/cltk\n\t```\n- [PyPi](https://pypi.org/project/cltk) (📥 7K / month · 📦 17 · ⏱️ 01.12.2024):\n\t```\n\tpip install cltk\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/zjunlp/DeepKE\"\u003eDeepKE\u003c/a\u003e\u003c/b\u003e (🥉26 ·  ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e \u003ccode\u003e\u003cimg src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 33 · 🔀 710 · 📦 24 · 📋 610 - 1% open · ⏱️ 22.04.2025):\n\n\t```\n\tgit clone https://github.com/zjunlp/deepke\n\t```\n- [PyPi](https://pypi.org/project/deepke) (📥 2K / month · ⏱️ 21.09.2023):\n\t```\n\tpip install deepke\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/JasonKessler/scattertext\"\u003escattertext\u003c/a\u003e\u003c/b\u003e (🥉26 ·  ⭐ 2.3K · 💤) - Beautiful visualizations of how language differs among.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 290 · 📦 660 · 📋 100 - 22% open · ⏱️ 23.09.2024):\n\n\t```\n\tgit clone https://github.com/JasonKessler/scattertext\n\t```\n- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 5 · ⏱️ 23.09.2024):\n\t```\n\tpip install scattertext\n\t```\n- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge scattertext\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/explosion/sense2vec\"\u003esense2vec\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 1.6K) - Contextually-keyed word vectors. \u003ccode\u003e\u003ca href=\"http://bit.ly/34MBwT8\"\u003eMIT\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 20 · 🔀 240 · 📥 72K · 📦 460 · 📋 120 - 20% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/explosion/sense2vec\n\t```\n- [PyPi](https://pypi.org/project/sense2vec) (📥 2.7K / month · 📦 13 · ⏱️ 19.04.2021):\n\t```\n\tpip install sense2vec\n\t```\n- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 59K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sense2vec\n\t```\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ca href=\"https://github.com/unitaryai/detoxify\"\u003edetoxify\u003c/a\u003e\u003c/b\u003e (🥉24 ·  ⭐ 1K) - Trained models \u0026 code to predict toxic comments on all 3 Jigsaw Toxic.. \u003ccode\u003e\u003ca href=\"http://bit.ly/3nYMfla\"\u003eApache-2\u003c/a\u003e\u003c/code\u003e\u003c/summary\u003e\n\n- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 14 · 🔀 120 · 📥 1.1M · 📦 870 · 📋 67 - 55% open · ⏱️ 07.03.2025):\n\n\t```\n\tgit clone https://github.com/unitaryai/detoxify\n\t```\n- [PyPi](https://pypi.org/pr","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fml-tooling%2Fbest-of-ml-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fml-tooling%2Fbest-of-ml-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fml-tooling%2Fbest-of-ml-python/lists"}