[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9581":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":44,"readmeContent":45,"aiSummary":46,"trendingCount":15,"starSnapshotCount":15,"syncStatus":47,"lastSyncTime":48,"discoverSource":49},9581,"best-of-ml-python","lukasmasuch\u002Fbest-of-ml-python","lukasmasuch","🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.","https:\u002F\u002Fml-python.best-of.org",null,23630,3140,440,33,0,4,16,170,14,45,"Creative Commons Attribution Share Alike 4.0 International",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"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","2026-06-12 02:02:09","\u003C!-- markdownlint-disable -->\n\u003Ch1 align=\"center\">\n    Best-of Machine Learning with Python\n    \u003Cbr>\n\u003C\u002Fh1>\n\n\u003Cp align=\"center\">\n    \u003Cstrong>🏆  A ranked list of awesome machine learning Python libraries. Updated weekly.\u003C\u002Fstrong>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fml-tooling\u002Fbest-of\" title=\"Best-of-badge\">\u003Cimg src=\"http:\u002F\u002Fbit.ly\u002F3o3EHNN\">\u003C\u002Fa>\n    \u003Ca href=\"#Contents\" title=\"Project Count\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fprojects-920-blue.svg?color=5ac4bf\">\u003C\u002Fa>\n    \u003Ca href=\"#Contribution\" title=\"Contributions are welcome\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fcontributions-welcome-green.svg\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fml-tooling\u002Fbest-of-ml-python\u002Freleases\" title=\"Best-of Updates\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease-date\u002Fml-tooling\u002Fbest-of-ml-python?color=green&label=updated\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fmltooling.substack.com\u002Fsubscribe\" title=\"Subscribe to newsletter\">\u003Cimg src=\"http:\u002F\u002Fbit.ly\u002F2Md9rxM\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Ftwitter.com\u002Fmltooling\" title=\"Follow on Twitter\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Fmltooling.svg?style=social&label=Follow\">\u003C\u002Fa>\n\u003C\u002Fp>\n\nThis curated list contains 920 awesome open-source projects with a total of 5.1M 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:\u002F\u002Fgithub.com\u002Fml-tooling\u002Fbest-of-ml-python\u002Fissues\u002Fnew\u002Fchoose), submit a [pull request](https:\u002F\u002Fgithub.com\u002Fml-tooling\u002Fbest-of-ml-python\u002Fpulls), or directly edit the [projects.yaml](https:\u002F\u002Fgithub.com\u002Fml-tooling\u002Fbest-of-ml-python\u002Fedit\u002Fmain\u002Fprojects.yaml). Contributions are very welcome!\n\n---\n\n\u003Cp align=\"center\">\n     🧙‍♂️  Discover other \u003Ca href=\"https:\u002F\u002Fbest-of.org\">best-of lists\u003C\u002Fa> or create \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fbest-of-lists\u002Fbest-of\u002Fblob\u002Fmain\u002Fcreate-best-of-list.md\">your own\u003C\u002Fa>.\u003Cbr>\n    📫  Subscribe to our \u003Ca href=\"https:\u002F\u002Fmltooling.substack.com\u002Fsubscribe\">newsletter\u003C\u002Fa> for updates and trending projects.\n\u003C\u002Fp>\n\n---\n\n\n## Contents\n\n- [Machine Learning Frameworks](#machine-learning-frameworks) _64 projects_\n- [Data Visualization](#data-visualization) _55 projects_\n- [Text Data & 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) _6 projects_\n- [Optical Character Recognition](#optical-character-recognition) _12 projects_\n- [Data Containers & Structures](#data-containers--structures) _1 projects_\n- [Data Loading & Extraction](#data-loading--extraction) _1 projects_\n- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_\n- [Data Pipelines & Streaming](#data-pipelines--streaming) _2 projects_\n- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_\n- [Hyperparameter Optimization & 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 & Experiment Tracking](#workflow--experiment-tracking) _40 projects_\n- [Model Serialization & 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 & Statistics](#probabilistics--statistics) _24 projects_\n- [Adversarial Robustness](#adversarial-robustness) _9 projects_\n- [GPU & 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- 🥇🥈🥉  Combined project-quality score\n- ⭐️  Star count from GitHub\n- 🐣  New project _(less than 6 months old)_\n- 💤  Inactive project _(6 months no activity)_\n- 💀  Dead project _(12 months no activity)_\n- 📈📉  Project is trending up or down\n- ➕  Project was recently added\n- ❗️  Warning _(e.g. missing\u002Frisky license)_\n- 👨‍💻  Contributors count from GitHub\n- 🔀  Fork count from GitHub\n- 📋  Issue count from GitHub\n- ⏱️  Last update timestamp on package manager\n- 📥  Download count from package manager\n- 📦  Number of dependent projects\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">  Tensorflow related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\">  Sklearn related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">  PyTorch related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\">  MxNet related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\">  Apache Spark related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">  Jupyter related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\">  PaddlePaddle related project\n- \u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">  Pandas related project\n- \u003Cimg src=\"https:\u002F\u002Fjax.readthedocs.io\u002Fen\u002Flatest\u002F_static\u002Ffavicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">  Jax related project\n\n\u003Cbr>\n\n## Machine Learning Frameworks\n\n\u003Ca href=\"#contents\">\u003Cimg align=\"right\" width=\"15\" height=\"15\" src=\"https:\u002F\u002Fgit.io\u002FJtehR\" alt=\"Back to top\">\u003C\u002Fa>\n\n_General-purpose machine learning and deep learning frameworks._\n\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\">Tensorflow\u003C\u002Fa>\u003C\u002Fb> (🥇56 ·  ⭐ 200K) - An Open Source Machine Learning Framework for Everyone. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow) (👨‍💻 5K · 🔀 75K · 📦 540K · 📋 42K - 4% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftensorflow) (📥 26M \u002F month · 📦 9.6K · ⏱️ 13.08.2025):\n\t```\n\tpip install tensorflow\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Ftensorflow) (📥 6M · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge tensorflow\n\t```\n- [Docker Hub](https:\u002F\u002Fhub.docker.com\u002Fr\u002Ftensorflow\u002Ftensorflow) (📥 81M · ⭐ 2.8K · ⏱️ 30.10.2025):\n\t```\n\tdocker pull tensorflow\u002Ftensorflow\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fpytorch\">PyTorch\u003C\u002Fa>\u003C\u002Fb> (🥇56 ·  ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fpytorch) (👨‍💻 6K · 🔀 26K · 📥 110K · 📦 830K · 📋 56K - 30% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fpytorch\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftorch) (📥 70M \u002F month · 📦 30K · ⏱️ 15.10.2025):\n\t```\n\tpip install torch\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fpytorch\u002Fpytorch) (📥 29M · ⏱️ 25.03.2025):\n\t```\n\tconda install -c pytorch pytorch\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\">scikit-learn\u003C\u002Fa>\u003C\u002Fb> (🥇53 ·  ⭐ 64K) - scikit-learn: machine learning in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn) (👨‍💻 3.4K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fscikit-learn) (📥 140M \u002F month · 📦 35K · ⏱️ 09.09.2025):\n\t```\n\tpip install scikit-learn\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fscikit-learn) (📥 40M · ⏱️ 09.09.2025):\n\t```\n\tconda install -c conda-forge scikit-learn\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fkeras-team\u002Fkeras\">Keras\u003C\u002Fa>\u003C\u002Fb> (🥇50 ·  ⭐ 64K) - Deep Learning for humans. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fkeras-team\u002Fkeras) (👨‍💻 1.4K · 🔀 20K · 📦 300K · 📋 13K - 2% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fkeras-team\u002Fkeras\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fkeras) (📥 19M \u002F month · 📦 2K · ⏱️ 27.10.2025):\n\t```\n\tpip install keras\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fkeras) (📥 4.5M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge keras\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdmlc\u002Fxgboost\">XGBoost\u003C\u002Fa>\u003C\u002Fb> (🥇46 ·  ⭐ 28K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fdmlc\u002Fxgboost) (👨‍💻 670 · 🔀 8.8K · 📥 20K · 📦 170K · 📋 5.6K - 8% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fdmlc\u002Fxgboost\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fxgboost) (📥 31M \u002F month · 📦 2.9K · ⏱️ 21.10.2025):\n\t```\n\tpip install xgboost\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fxgboost) (📥 6.6M · ⏱️ 16.09.2025):\n\t```\n\tconda install -c conda-forge xgboost\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FPaddlePaddle\u002FPaddle\">PaddlePaddle\u003C\u002Fa>\u003C\u002Fb> (🥇46 ·  ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FPaddlePaddle\u002FPaddle) (👨‍💻 1.5K · 🔀 5.9K · 📥 15K · 📦 8.8K · 📋 20K - 8% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FPaddlePaddle\u002FPaddle\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpaddlepaddle) (📥 1.6M \u002F month · 📦 280 · ⏱️ 30.10.2025):\n\t```\n\tpip install paddlepaddle\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjax-ml\u002Fjax\">jax\u003C\u002Fa>\u003C\u002Fb> (🥇45 ·  ⭐ 34K) - Composable transformations of Python+NumPy programs: differentiate,.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fjax-ml\u002Fjax) (👨‍💻 980 · 🔀 3.2K · 📦 47K · 📋 6.6K - 24% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fjax\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fjax) (📥 12M \u002F month · 📦 3.1K · ⏱️ 15.10.2025):\n\t```\n\tpip install jax\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fjaxlib) (📥 3.2M · ⏱️ 06.10.2025):\n\t```\n\tconda install -c conda-forge jaxlib\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FLightning-AI\u002Fpytorch-lightning\">pytorch-lightning\u003C\u002Fa>\u003C\u002Fb> (🥇45 ·  ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on 1 or.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FLightning-AI\u002Fpytorch-lightning) (👨‍💻 1K · 🔀 3.6K · 📥 15K · 📦 48K · 📋 7.4K - 11% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FLightning-AI\u002Flightning\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpytorch-lightning) (📥 9.8M \u002F month · 📦 1.8K · ⏱️ 05.09.2025):\n\t```\n\tpip install pytorch-lightning\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpytorch-lightning) (📥 1.7M · ⏱️ 05.09.2025):\n\t```\n\tconda install -c conda-forge pytorch-lightning\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fstatsmodels\u002Fstatsmodels\">StatsModels\u003C\u002Fa>\u003C\u002Fb> (🥇45 ·  ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fstatsmodels\u002Fstatsmodels) (👨‍💻 470 · 🔀 3.3K · 📥 36 · 📦 180K · 📋 5.8K - 50% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fstatsmodels\u002Fstatsmodels\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fstatsmodels) (📥 24M \u002F month · 📦 5.6K · ⏱️ 07.07.2025):\n\t```\n\tpip install statsmodels\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fstatsmodels) (📥 22M · ⏱️ 01.10.2025):\n\t```\n\tconda install -c conda-forge statsmodels\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fapache\u002Fspark\">PySpark\u003C\u002Fa>\u003C\u002Fb> (🥈44 ·  ⭐ 42K) - Apache Spark Python API. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fapache\u002Fspark) (👨‍💻 3.3K · 🔀 29K · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fapache\u002Fspark\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpyspark) (📥 47M \u002F month · 📦 2.1K · ⏱️ 30.10.2025):\n\t```\n\tpip install pyspark\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpyspark) (📥 4.2M · ⏱️ 08.09.2025):\n\t```\n\tconda install -c conda-forge pyspark\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FLightGBM\">LightGBM\u003C\u002Fa>\u003C\u002Fb> (🥈42 ·  ⭐ 18K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FLightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 310K · 📦 56K · 📋 3.6K - 12% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FLightGBM\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Flightgbm) (📥 11M \u002F month · 📦 1.6K · ⏱️ 15.02.2025):\n\t```\n\tpip install lightgbm\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Flightgbm) (📥 4.1M · ⏱️ 20.10.2025):\n\t```\n\tconda install -c conda-forge lightgbm\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcatboost\u002Fcatboost\">Catboost\u003C\u002Fa>\u003C\u002Fb> (🥈42 ·  ⭐ 8.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fcatboost\u002Fcatboost) (👨‍💻 1.4K · 🔀 1.2K · 📥 460K · 📦 19 · 📋 2.5K - 25% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fcatboost\u002Fcatboost\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fcatboost) (📥 5.1M \u002F month · 📦 650 · ⏱️ 13.04.2025):\n\t```\n\tpip install catboost\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fcatboost) (📥 2.2M · ⏱️ 09.08.2025):\n\t```\n\tconda install -c conda-forge catboost\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffastai\u002Ffastai\">Fastai\u003C\u002Fa>\u003C\u002Fb> (🥈41 ·  ⭐ 28K) - The fastai deep learning library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Ffastai\u002Ffastai) (👨‍💻 680 · 🔀 7.6K · 📦 23K · 📋 1.9K - 14% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Ffastai\u002Ffastai\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ffastai) (📥 640K \u002F month · 📦 340 · ⏱️ 26.10.2025):\n\t```\n\tpip install fastai\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fapache\u002Fflink\">PyFlink\u003C\u002Fa>\u003C\u002Fb> (🥈39 ·  ⭐ 25K) - Apache Flink Python API. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fapache\u002Fflink) (👨‍💻 2.1K · 🔀 14K · 📦 21 · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fapache\u002Fflink\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fapache-flink) (📥 450K \u002F month · 📦 38 · ⏱️ 28.10.2025):\n\t```\n\tpip install apache-flink\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fflax\">Flax\u003C\u002Fa>\u003C\u002Fb> (🥈38 ·  ⭐ 6.9K) - Flax is a neural network library for JAX that is designed for.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fjax.readthedocs.io\u002Fen\u002Flatest\u002F_static\u002Ffavicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fflax) (👨‍💻 280 · 🔀 740 · 📥 61 · 📦 15K · 📋 1.3K - 33% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fflax\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fflax) (📥 2M \u002F month · 📦 740 · ⏱️ 25.09.2025):\n\t```\n\tpip install flax\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fflax) (📥 130K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge flax\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fignite\">Ignite\u003C\u002Fa>\u003C\u002Fb> (🥈36 ·  ⭐ 4.7K) - High-level library to help with training and evaluating neural.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fignite) (👨‍💻 1K · 🔀 660 · 📦 3.9K · 📋 1.4K - 10% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpytorch\u002Fignite\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpytorch-ignite) (📥 170K \u002F month · 📦 120 · ⏱️ 30.10.2025):\n\t```\n\tpip install pytorch-ignite\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fpytorch\u002Fignite) (📥 250K · ⏱️ 16.10.2025):\n\t```\n\tconda install -c pytorch ignite\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Farogozhnikov\u002Feinops\">einops\u003C\u002Fa>\u003C\u002Fb> (🥈35 ·  ⭐ 9.2K) - Flexible and powerful tensor operations for readable and reliable code.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Farogozhnikov\u002Feinops) (👨‍💻 34 · 🔀 380 · 📦 82K · 📋 200 - 17% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Farogozhnikov\u002Feinops\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Feinops) (📥 15M \u002F month · 📦 2.6K · ⏱️ 09.02.2025):\n\t```\n\tpip install einops\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Feinops) (📥 470K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge einops\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fivy-llc\u002Fivy\">ivy\u003C\u002Fa>\u003C\u002Fb> (🥈34 ·  ⭐ 14K) - Convert Machine Learning Code Between Frameworks. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fivy-llc\u002Fivy) (👨‍💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Funifyai\u002Fivy\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fivy) (📥 33K \u002F month · 📦 16 · ⏱️ 16.06.2025):\n\t```\n\tpip install ivy\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjina-ai\u002Fserve\">Jina\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 22K · 💤) - Build multimodal AI applications with cloud-native stack. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fjina-ai\u002Fserve) (👨‍💻 180 · 🔀 2.2K · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fjina-ai\u002Fjina\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fjina) (📥 120K \u002F month · 📦 29 · ⏱️ 24.03.2025):\n\t```\n\tpip install jina\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fjina-core) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jina-core\n\t```\n- [Docker Hub](https:\u002F\u002Fhub.docker.com\u002Fr\u002Fjinaai\u002Fjina) (📥 1.8M · ⭐ 9 · ⏱️ 24.03.2025):\n\t```\n\tdocker pull jinaai\u002Fjina\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmlpack\u002Fmlpack\">mlpack\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 5.5K) - mlpack: a fast, header-only C++ machine learning library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fmlpack\u002Fmlpack) (👨‍💻 340 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fmlpack\u002Fmlpack\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmlpack) (📥 4.7K \u002F month · 📦 6 · ⏱️ 22.05.2025):\n\t```\n\tpip install mlpack\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fmlpack) (📥 410K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mlpack\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fexplosion\u002Fthinc\">Thinc\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 2.9K · 💤) - A refreshing functional take on deep learning, compatible with your.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fexplosion\u002Fthinc) (👨‍💻 67 · 🔀 280 · 📥 2K · 📦 70K · 📋 160 - 14% open · ⏱️ 07.03.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fexplosion\u002Fthinc\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fthinc) (📥 17M \u002F month · 📦 160 · ⏱️ 04.04.2025):\n\t```\n\tpip install thinc\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fthinc) (📥 3.9M · ⏱️ 06.07.2025):\n\t```\n\tconda install -c conda-forge thinc\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fludwig-ai\u002Fludwig\">Ludwig\u003C\u002Fa>\u003C\u002Fb> (🥉32 ·  ⭐ 12K · 💤) - Low-code framework for building custom LLMs, neural networks,.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fludwig-ai\u002Fludwig) (👨‍💻 160 · 🔀 1.2K · 📦 340 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fludwig-ai\u002Fludwig\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fludwig) (📥 3.8K \u002F month · 📦 6 · ⏱️ 30.07.2024):\n\t```\n\tpip install ludwig\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fskorch-dev\u002Fskorch\">skorch\u003C\u002Fa>\u003C\u002Fb> (🥉32 ·  ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fskorch-dev\u002Fskorch) (👨‍💻 68 · 🔀 400 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 23.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fskorch-dev\u002Fskorch\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fskorch) (📥 150K \u002F month · 📦 110 · ⏱️ 08.08.2025):\n\t```\n\tpip install skorch\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fskorch) (📥 810K · ⏱️ 08.08.2025):\n\t```\n\tconda install -c conda-forge skorch\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fsonnet\">Sonnet\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 9.9K) - TensorFlow-based neural network library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fsonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.5K · 📋 190 - 16% open · ⏱️ 04.08.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fdeepmind\u002Fsonnet\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdm-sonnet) (📥 35K \u002F month · 📦 19 · ⏱️ 02.01.2024):\n\t```\n\tpip install dm-sonnet\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fsonnet) (📥 47K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sonnet\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fdm-haiku\">Haiku\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 3.1K · 📉) - JAX-based neural network library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fdm-haiku) (👨‍💻 90 · 🔀 260 · 📦 2.6K · 📋 250 - 29% open · ⏱️ 29.09.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fdeepmind\u002Fdm-haiku\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdm-haiku) (📥 260K \u002F month · 📦 200 · ⏱️ 18.09.2025):\n\t```\n\tpip install dm-haiku\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fdm-haiku) (📥 44K · ⏱️ 19.09.2025):\n\t```\n\tconda install -c conda-forge dm-haiku\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FROCm\u002Ftensorflow-upstream\">tensorflow-upstream\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 700) - TensorFlow ROCm port. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FROCm\u002Ftensorflow-upstream) (👨‍💻 5K · 🔀 100 · 📥 31 · 📋 400 - 3% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FROCmSoftwarePlatform\u002Ftensorflow-upstream\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftensorflow-rocm) (📥 1.7K \u002F month · 📦 9 · ⏱️ 10.01.2024):\n\t```\n\tpip install tensorflow-rocm\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgeomstats\u002Fgeomstats\">Geomstats\u003C\u002Fa>\u003C\u002Fb> (🥉30 ·  ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fgeomstats\u002Fgeomstats) (👨‍💻 97 · 🔀 260 · 📦 150 · 📋 570 - 36% open · ⏱️ 06.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fgeomstats\u002Fgeomstats\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fgeomstats) (📥 15K \u002F month · 📦 12 · ⏱️ 09.09.2024):\n\t```\n\tpip install geomstats\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fgeomstats) (📥 8.2K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge geomstats\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FpyRiemann\u002FpyRiemann\">pyRiemann\u003C\u002Fa>\u003C\u002Fb> (🥉28 ·  ⭐ 700) - Machine learning for multivariate data through the Riemannian.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FpyRiemann\u002FpyRiemann) (👨‍💻 38 · 🔀 170 · 📦 480 · 📋 110 - 2% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FpyRiemann\u002FpyRiemann\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpyriemann) (📥 75K \u002F month · 📦 31 · ⏱️ 23.07.2025):\n\t```\n\tpip install pyriemann\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpyriemann) (📥 16K · ⏱️ 23.07.2025):\n\t```\n\tconda install -c conda-forge pyriemann\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnumenta\u002Fnupic-legacy\">NuPIC\u003C\u002Fa>\u003C\u002Fb> (🥉27 ·  ⭐ 6.4K · 💤) - Numenta Platform for Intelligent Computing is an implementation of.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fnumenta\u002Fnupic-legacy) (👨‍💻 120 · 🔀 1.5K · 📥 26 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fnumenta\u002Fnupic\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fnupic) (📥 510 \u002F month · ⏱️ 01.09.2016):\n\t```\n\tpip install nupic\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdetermined-ai\u002Fdetermined\">Determined\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 3.2K · 💤) - Determined is an open-source machine learning.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fdetermined-ai\u002Fdetermined) (👨‍💻 120 · 🔀 360 · 📥 7.8K · 📋 450 - 22% open · ⏱️ 20.03.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fdetermined-ai\u002Fdetermined\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdetermined) (📥 33K \u002F month · 📦 4 · ⏱️ 19.03.2025):\n\t```\n\tpip install determined\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsony\u002Fnnabla\">Neural Network Libraries\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 2.8K) - Neural Network Libraries. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fsony\u002Fnnabla) (👨‍💻 76 · 🔀 340 · 📥 1K · 📋 95 - 36% open · ⏱️ 29.08.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fsony\u002Fnnabla\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fnnabla) (📥 1.6K \u002F month · 📦 44 · ⏱️ 29.05.2024):\n\t```\n\tpip install nnabla\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdeepinv\u002Fdeepinv\">deepinv\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 540) - DeepInverse: a PyTorch library for solving imaging inverse problems.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fdeepinv\u002Fdeepinv) (👨‍💻 53 · 🔀 120 · 📥 24 · 📦 23 · 📋 350 - 33% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fdeepinv\u002Fdeepinv\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdeepinv) (📥 2.4K \u002F month · ⏱️ 08.10.2025):\n\t```\n\tpip install deepinv\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftowhee-io\u002Ftowhee\">Towhee\u003C\u002Fa>\u003C\u002Fb> (🥉23 ·  ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Ftowhee-io\u002Ftowhee) (👨‍💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Ftowhee-io\u002Ftowhee\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftowhee) (📥 1.3K \u002F month · ⏱️ 04.12.2023):\n\t```\n\tpip install towhee\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnubank\u002Ffklearn\">fklearn\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 1.5K) - fklearn: Functional Machine Learning. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fnubank\u002Ffklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fnubank\u002Ffklearn\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ffklearn) (📥 750 \u002F month · ⏱️ 26.02.2025):\n\t```\n\tpip install fklearn\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frun-house\u002Fkubetorch\">Runhouse\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 1.1K) - Distribute and run AI workloads magically in Python, like PyTorch.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Frun-house\u002Fkubetorch) (👨‍💻 16 · 🔀 41 · 📥 79 · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Frun-house\u002Frunhouse\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Frunhouse) (📥 4.5K \u002F month · 📦 1 · ⏱️ 10.03.2025):\n\t```\n\tpip install runhouse\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fneoml-lib\u002Fneoml\">NeoML\u003C\u002Fa>\u003C\u002Fb> (🥉19 ·  ⭐ 790) - Machine learning framework for both deep learning and traditional.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fneoml-lib\u002Fneoml) (👨‍💻 41 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fneoml-lib\u002Fneoml\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fneoml) (📥 190 \u002F month · ⏱️ 26.12.2023):\n\t```\n\tpip install neoml\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fserengil\u002Fchefboost\">chefboost\u003C\u002Fa>\u003C\u002Fb> (🥉19 ·  ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fserengil\u002Fchefboost) (👨‍💻 7 · 🔀 100 · 📦 72 · ⏱️ 09.07.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fserengil\u002Fchefboost\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fchefboost) (📥 770 \u002F month · ⏱️ 30.10.2024):\n\t```\n\tpip install chefboost\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FXtra-Computing\u002Fthundergbm\">ThunderGBM\u003C\u002Fa>\u003C\u002Fb> (🥉18 ·  ⭐ 710 · 💤) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FXtra-Computing\u002Fthundergbm) (👨‍💻 12 · 🔀 88 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FXtra-Computing\u002Fthundergbm\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fthundergbm) (📥 220 \u002F month · ⏱️ 19.09.2022):\n\t```\n\tpip install thundergbm\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>Show 26 hidden projects...\u003C\u002Fsummary>\n\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdavisking\u002Fdlib\">dlib\u003C\u002Fa>\u003C\u002Fb> (🥈40 ·  ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. \u003Ccode>\u003Ca href=\"https:\u002F\u002Ftldrlegal.com\u002Fsearch?q=BSL-1.0\">❗️BSL-1.0\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fapache\u002Fmxnet\">MXNet\u003C\u002Fa>\u003C\u002Fb> (🥈38 ·  ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed\u002FMobile Deep.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FTheano\u002FTheano\">Theano\u003C\u002Fa>\u003C\u002Fb> (🥈37 ·  ⭐ 10K · 💀) - Theano was a Python library that allows you to define, optimize, and.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmindsdb\u002Fmindsdb\">MindsDB\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 37K) - Federated query engine for AI - The only MCP Server youll ever need. \u003Ccode>\u003Ca href=\"https:\u002F\u002Ftldrlegal.com\u002Fsearch?q=ICU\">❗️ICU\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FVowpalWabbit\u002Fvowpal_wabbit\">Vowpal Wabbit\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 8.6K · 💀) - Vowpal Wabbit is a machine learning system which pushes the.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fchainer\u002Fchainer\">Chainer\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fapple\u002Fturicreate\">Turi Create\u003C\u002Fa>\u003C\u002Fb> (🥉32 ·  ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftensorpack\u002Ftensorpack\">tensorpack\u003C\u002Fa>\u003C\u002Fb> (🥉32 ·  ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftflearn\u002Ftflearn\">TFlearn\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fclab\u002Fdynet\">dyNET\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FCNTK\">CNTK\u003C\u002Fa>\u003C\u002Fb> (🥉29 ·  ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FLasagne\u002FLasagne\">Lasagne\u003C\u002Fa>\u003C\u002Fb> (🥉28 ·  ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fshogun-toolbox\u002Fshogun\">SHOGUN\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 3.1K · 💀) - Unified and efficient Machine Learning. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Famaiya\u002Fktrain\">ktrain\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 1.3K · 💀) - ktrain is a Python library that makes deep learning and AI.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fitdxer\u002Fneupy\">NeuPy\u003C\u002Fa>\u003C\u002Fb> (🥉25 ·  ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Faksnzhy\u002Fxlearn\">xLearn\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgeorgia-tech-db\u002Fevadb\">EvaDB\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 2.7K · 💀) - Database system for AI-powered apps. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNervanaSystems\u002Fneon\">neon\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FXtra-Computing\u002Fthundersvm\">ThunderSVM\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpytorchbearer\u002Ftorchbearer\">Torchbearer\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FXiaoMi\u002Fmace\">mace\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fneural-tangents\">Neural Tangents\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 2.4K · 💀) - Fast and Easy Infinite Neural Networks in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fobjax\">Objax\u003C\u002Fa>\u003C\u002Fb> (🥉20 ·  ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fjax.readthedocs.io\u002Fen\u002Flatest\u002F_static\u002Ffavicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpoets-ai\u002Felegy\">elegy\u003C\u002Fa>\u003C\u002Fb> (🥉19 ·  ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fjax.readthedocs.io\u002Fen\u002Flatest\u002F_static\u002Ffavicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002FStarSpace\">StarSpace\u003C\u002Fa>\u003C\u002Fb> (🥉16 ·  ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FHenryNdubuaku\u002Fnanodl\">nanodl\u003C\u002Fa>\u003C\u002Fb> (🥉14 ·  ⭐ 300 · 💀) - A Jax-based library for building transformers, includes.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fjax.readthedocs.io\u002Fen\u002Flatest\u002F_static\u002Ffavicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n\u003C\u002Fdetails>\n\u003Cbr>\n\n## Data Visualization\n\n\u003Ca href=\"#contents\">\u003Cimg align=\"right\" width=\"15\" height=\"15\" src=\"https:\u002F\u002Fgit.io\u002FJtehR\" alt=\"Back to top\">\u003C\u002Fa>\n\n_General-purpose and task-specific data visualization libraries._\n\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib\">Matplotlib\u003C\u002Fa>\u003C\u002Fb> (🥇49 ·  ⭐ 22K) - matplotlib: plotting with Python. \u003Ccode>❗Unlicensed\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib) (👨‍💻 1.9K · 🔀 8.1K · 📦 1.9M · 📋 11K - 14% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmatplotlib) (📥 120M \u002F month · 📦 68K · ⏱️ 09.10.2025):\n\t```\n\tpip install matplotlib\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fmatplotlib) (📥 33M · ⏱️ 15.10.2025):\n\t```\n\tconda install -c conda-forge matplotlib\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\">Plotly\u003C\u002Fa>\u003C\u002Fb> (🥇47 ·  ⭐ 18K) - The interactive graphing library for Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py) (👨‍💻 300 · 🔀 2.7K · 📥 550 · 📦 460K · 📋 3.3K - 21% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fplotly) (📥 37M \u002F month · 📦 9.7K · ⏱️ 02.10.2025):\n\t```\n\tpip install plotly\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fplotly) (📥 12M · ⏱️ 03.10.2025):\n\t```\n\tconda install -c conda-forge plotly\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fplotlywidget) (📥 2.8K \u002F month · 📦 9 · ⏱️ 12.01.2021):\n\t```\n\tnpm install plotlywidget\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fplotly\u002Fdash\">dash\u003C\u002Fa>\u003C\u002Fb> (🥇45 ·  ⭐ 24K) - Data Apps & Dashboards for Python. No JavaScript Required. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fdash) (👨‍💻 190 · 🔀 2.2K · 📥 120 · 📦 89K · 📋 2.1K - 27% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fplotly\u002Fdash\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdash) (📥 5.5M \u002F month · 📦 1.9K · ⏱️ 22.10.2025):\n\t```\n\tpip install dash\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fdash) (📥 2.1M · ⏱️ 11.08.2025):\n\t```\n\tconda install -c conda-forge dash\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fbokeh\u002Fbokeh\">Bokeh\u003C\u002Fa>\u003C\u002Fb> (🥇45 ·  ⭐ 20K) - Interactive Data Visualization in the browser, from Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fbokeh\u002Fbokeh) (👨‍💻 720 · 🔀 4.2K · 📦 100K · 📋 8.1K - 10% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fbokeh\u002Fbokeh\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fbokeh) (📥 5M \u002F month · 📦 2.2K · ⏱️ 13.10.2025):\n\t```\n\tpip install bokeh\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fbokeh) (📥 18M · ⏱️ 30.08.2025):\n\t```\n\tconda install -c conda-forge bokeh\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmwaskom\u002Fseaborn\">Seaborn\u003C\u002Fa>\u003C\u002Fb> (🥇42 ·  ⭐ 14K) - Statistical data visualization in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fmwaskom\u002Fseaborn) (👨‍💻 220 · 🔀 2K · 📥 510 · 📦 700K · 📋 2.6K - 6% open · ⏱️ 10.07.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fmwaskom\u002Fseaborn\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fseaborn) (📥 31M \u002F month · 📦 11K · ⏱️ 25.01.2024):\n\t```\n\tpip install seaborn\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fseaborn) (📥 15M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge seaborn\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvega\u002Faltair\">Altair\u003C\u002Fa>\u003C\u002Fb> (🥇41 ·  ⭐ 10K) - Declarative visualization library for Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fvega\u002Faltair) (👨‍💻 180 · 🔀 800 · 📥 280 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Faltair-viz\u002Faltair\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Faltair) (📥 37M \u002F month · 📦 920 · ⏱️ 23.11.2024):\n\t```\n\tpip install altair\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Faltair) (📥 3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge altair\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvoxel51\u002Ffiftyone\">FiftyOne\u003C\u002Fa>\u003C\u002Fb> (🥈39 ·  ⭐ 10K) - Visualize, create, and debug image and video datasets.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fvoxel51\u002Ffiftyone) (👨‍💻 160 · 🔀 680 · 📦 1K · 📋 1.8K - 35% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fvoxel51\u002Ffiftyone\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ffiftyone) (📥 170K \u002F month · 📦 36 · ⏱️ 20.10.2025):\n\t```\n\tpip install fiftyone\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fxflr6\u002Fgraphviz\">Graphviz\u003C\u002Fa>\u003C\u002Fb> (🥈39 ·  ⭐ 1.8K) - Simple Python interface for Graphviz. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fxflr6\u002Fgraphviz) (👨‍💻 24 · 🔀 220 · 📦 95K · 📋 190 - 6% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fxflr6\u002Fgraphviz\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fgraphviz) (📥 26M \u002F month · 📦 3.2K · ⏱️ 15.06.2025):\n\t```\n\tpip install graphviz\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fanaconda\u002Fpython-graphviz) (📥 59K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda python-graphviz\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpyvista\u002Fpyvista\">PyVista\u003C\u002Fa>\u003C\u002Fb> (🥈38 ·  ⭐ 3.3K) - 3D plotting and mesh analysis through a streamlined interface for.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpyvista\u002Fpyvista) (👨‍💻 190 · 🔀 590 · 📥 960 · 📦 5.2K · 📋 2K - 35% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpyvista\u002Fpyvista\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpyvista) (📥 1M \u002F month · 📦 820 · ⏱️ 26.08.2025):\n\t```\n\tpip install pyvista\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpyvista) (📥 810K · ⏱️ 10.10.2025):\n\t```\n\tconda install -c conda-forge pyvista\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fholoviews\">HoloViews\u003C\u002Fa>\u003C\u002Fb> (🥈38 ·  ⭐ 2.8K) - With Holoviews, your data visualizes itself. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fholoviews) (👨‍💻 150 · 🔀 410 · 📦 17K · 📋 3.4K - 31% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fholoviews\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fholoviews) (📥 820K \u002F month · 📦 490 · ⏱️ 29.10.2025):\n\t```\n\tpip install holoviews\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fholoviews) (📥 2.4M · ⏱️ 25.06.2025):\n\t```\n\tconda install -c conda-forge holoviews\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@pyviz\u002Fjupyterlab_pyviz) (📥 380 \u002F month · 📦 7 · ⏱️ 20.06.2025):\n\t```\n\tnpm install @pyviz\u002Fjupyterlab_pyviz\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpyecharts\u002Fpyecharts\">pyecharts\u003C\u002Fa>\u003C\u002Fb> (🥈37 ·  ⭐ 16K) - Python Echarts Plotting Library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpyecharts\u002Fpyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 75 · 📦 5.5K · 📋 1.9K - 0% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpyecharts\u002Fpyecharts\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpyecharts) (📥 530K \u002F month · 📦 280 · ⏱️ 10.10.2025):\n\t```\n\tpip install pyecharts\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpyqtgraph\u002Fpyqtgraph\">PyQtGraph\u003C\u002Fa>\u003C\u002Fb> (🥈37 ·  ⭐ 4.2K) - Fast data visualization and GUI tools for scientific \u002F engineering.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpyqtgraph\u002Fpyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 31% open · ⏱️ 02.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpyqtgraph\u002Fpyqtgraph\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpyqtgraph) (📥 560K \u002F month · 📦 1K · ⏱️ 29.04.2024):\n\t```\n\tpip install pyqtgraph\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpyqtgraph) (📥 880K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyqtgraph\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fydataai\u002Fydata-profiling\">pandas-profiling\u003C\u002Fa>\u003C\u002Fb> (🥈35 ·  ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fydataai\u002Fydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 490 · 📦 6.9K · 📋 850 - 30% open · ⏱️ 19.09.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fydataai\u002Fpandas-profiling\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpandas-profiling) (📥 330K \u002F month · 📦 180 · ⏱️ 03.02.2023):\n\t```\n\tpip install pandas-profiling\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fpandas-profiling) (📥 590K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pandas-profiling\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhas2k1\u002Fplotnine\">plotnine\u003C\u002Fa>\u003C\u002Fb> (🥈35 ·  ⭐ 4.4K) - A Grammar of Graphics for Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fhas2k1\u002Fplotnine) (👨‍💻 110 · 🔀 240 · 📦 13K · 📋 750 - 10% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fhas2k1\u002Fplotnine\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fplotnine) (📥 2.2M \u002F month · 📦 400 · ⏱️ 15.07.2025):\n\t```\n\tpip install plotnine\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fplotnine) (📥 560K · ⏱️ 15.07.2025):\n\t```\n\tconda install -c conda-forge plotnine\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FSciTools\u002Fcartopy\">cartopy\u003C\u002Fa>\u003C\u002Fb> (🥈35 ·  ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FSciTools\u002Fcartopy) (👨‍💻 140 · 🔀 390 · 📦 8.1K · 📋 1.3K - 23% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FSciTools\u002Fcartopy\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fcartopy) (📥 810K \u002F month · 📦 970 · ⏱️ 01.08.2025):\n\t```\n\tpip install cartopy\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fcartopy) (📥 5.6M · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge cartopy\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvispy\u002Fvispy\">VisPy\u003C\u002Fa>\u003C\u002Fb> (🥈34 ·  ⭐ 3.5K · 📉) - High-performance interactive 2D\u002F3D data visualization library. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fvispy\u002Fvispy) (👨‍💻 210 · 🔀 620 · 📦 2.1K · 📋 1.5K - 25% open · ⏱️ 13.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fvispy\u002Fvispy\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fvispy) (📥 190K \u002F month · 📦 200 · ⏱️ 19.05.2025):\n\t```\n\tpip install vispy\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fvispy) (📥 980K · ⏱️ 30.08.2025):\n\t```\n\tconda install -c conda-forge vispy\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fvispy) (📥 12 \u002F month · 📦 3 · ⏱️ 15.03.2020):\n\t```\n\tnpm install vispy\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fdatashader\">datashader\u003C\u002Fa>\u003C\u002Fb> (🥈34 ·  ⭐ 3.5K) - Quickly and accurately render even the largest data. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fdatashader) (👨‍💻 63 · 🔀 380 · 📦 6.3K · 📋 620 - 24% open · ⏱️ 09.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fdatashader\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdatashader) (📥 280K \u002F month · 📦 250 · ⏱️ 05.08.2025):\n\t```\n\tpip install datashader\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fdatashader) (📥 1.6M · ⏱️ 05.08.2025):\n\t```\n\tconda install -c conda-forge datashader\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FJetBrains\u002Flets-plot\">lets-plot\u003C\u002Fa>\u003C\u002Fb> (🥈34 ·  ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FJetBrains\u002Flets-plot) (👨‍💻 21 · 🔀 54 · 📥 3.4K · 📦 190 · 📋 740 - 21% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FJetBrains\u002Flets-plot\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Flets-plot) (📥 120K \u002F month · 📦 16 · ⏱️ 12.09.2025):\n\t```\n\tpip install lets-plot\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Famueller\u002Fword_cloud\">wordcloud\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 10K) - A little word cloud generator in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Famueller\u002Fword_cloud) (👨‍💻 75 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 31.08.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Famueller\u002Fword_cloud\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fwordcloud) (📥 2M \u002F month · 📦 550 · ⏱️ 10.11.2024):\n\t```\n\tpip install wordcloud\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fwordcloud) (📥 790K · ⏱️ 03.09.2025):\n\t```\n\tconda install -c conda-forge wordcloud\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fperspective-dev\u002Fperspective\">Perspective\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 9.5K) - A data visualization and analytics component, especially.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fperspective-dev\u002Fperspective) (👨‍💻 100 · 🔀 1.2K · 📥 12K · 📦 190 · 📋 890 - 12% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Ffinos\u002Fperspective\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fperspective-python) (📥 17K \u002F month · 📦 31 · ⏱️ 28.10.2025):\n\t```\n\tpip install perspective-python\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fperspective) (📥 2.4M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge perspective\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@finos\u002Fperspective-jupyterlab) (📥 600 \u002F month · 📦 6 · ⏱️ 03.09.2025):\n\t```\n\tnpm install @finos\u002Fperspective-jupyterlab\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Flmcinnes\u002Fumap\">UMAP\u003C\u002Fa>\u003C\u002Fb> (🥈33 ·  ⭐ 8K) - Uniform Manifold Approximation and Projection. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Flmcinnes\u002Fumap) (👨‍💻 140 · 🔀 850 · 📦 1 · 📋 860 - 59% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Flmcinnes\u002Fumap\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fumap-learn) (📥 2.7M \u002F month · 📦 1.3K · ⏱️ 03.07.2025):\n\t```\n\tpip install umap-learn\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fumap-learn) (📥 3.2M · ⏱️ 03.07.2025):\n\t```\n\tconda install -c conda-forge umap-learn\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fhvplot\">hvPlot\u003C\u002Fa>\u003C\u002Fb> (🥈32 ·  ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fhvplot) (👨‍💻 52 · 🔀 110 · 📦 7.3K · 📋 940 - 41% open · ⏱️ 24.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fholoviz\u002Fhvplot\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fhvplot) (📥 310K \u002F month · 📦 270 · ⏱️ 29.08.2025):\n\t```\n\tpip install hvplot\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fhvplot) (📥 860K · ⏱️ 04.09.2025):\n\t```\n\tconda install -c conda-forge hvplot\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmpld3\u002Fmpld3\">mpld3\u003C\u002Fa>\u003C\u002Fb> (🥉31 ·  ⭐ 2.4K · 📉) - An interactive data visualization tool which brings matplotlib.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fmpld3\u002Fmpld3) (👨‍💻 54 · 🔀 360 · 📦 7.6K · 📋 370 - 59% open · ⏱️ 27.07.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fmpld3\u002Fmpld3\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmpld3) (📥 440K \u002F month · 📦 160 · ⏱️ 27.07.2025):\n\t```\n\tpip install mpld3\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fmpld3) (📥 280K · ⏱️ 28.07.2025):\n\t```\n\tconda install -c conda-forge mpld3\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fmpld3) (📥 900 \u002F month · 📦 11 · ⏱️ 27.07.2025):\n\t```\n\tnpm install mpld3\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fbqplot\u002Fbqplot\">bqplot\u003C\u002Fa>\u003C\u002Fb> (🥉30 ·  ⭐ 3.7K) - Plotting library for IPython\u002FJupyter notebooks. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fbqplot\u002Fbqplot) (👨‍💻 66 · 🔀 480 · 📦 62 · 📋 650 - 42% open · ⏱️ 25.08.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fbqplot\u002Fbqplot\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fbqplot) (📥 230K \u002F month · 📦 110 · ⏱️ 21.05.2025):\n\t```\n\tpip install bqplot\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fbqplot) (📥 1.9M · ⏱️ 02.09.2025):\n\t```\n\tconda install -c conda-forge bqplot\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fbqplot) (📥 3K \u002F month · 📦 21 · ⏱️ 03.09.2025):\n\t```\n\tnpm install bqplot\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fman-group\u002Fdtale\">D-Tale\u003C\u002Fa>\u003C\u002Fb> (🥉29 ·  ⭐ 5K) - Visualizer for pandas data structures. \u003Ccode>\u003Ca href=\"https:\u002F\u002Ftldrlegal.com\u002Fsearch?q=LGPL-2.1\">❗️LGPL-2.1\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fman-group\u002Fdtale) (👨‍💻 31 · 🔀 430 · 📦 1.5K · 📋 610 - 10% open · ⏱️ 30.07.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fman-group\u002Fdtale\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fdtale) (📥 31K \u002F month · 📦 53 · ⏱️ 30.07.2025):\n\t```\n\tpip install dtale\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fdtale) (📥 480K · ⏱️ 30.07.2025):\n\t```\n\tconda install -c conda-forge dtale\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpavlin-policar\u002FopenTSNE\">openTSNE\u003C\u002Fa>\u003C\u002Fb> (🥉29 ·  ⭐ 1.6K · 📈) - Extensible, parallel implementations of t-SNE. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpavlin-policar\u002FopenTSNE) (👨‍💻 14 · 🔀 170 · 📦 1.1K · 📋 150 - 2% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpavlin-policar\u002FopenTSNE\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fopentsne) (📥 58K \u002F month · 📦 69 · ⏱️ 27.10.2025):\n\t```\n\tpip install opentsne\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fopentsne) (📥 500K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge opentsne\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpredict-idlab\u002Fplotly-resampler\">Plotly-Resampler\u003C\u002Fa>\u003C\u002Fb> (🥉27 ·  ⭐ 1.2K) - Visualize large time series data with plotly.py. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fpredict-idlab\u002Fplotly-resampler) (👨‍💻 14 · 🔀 74 · 📦 2K · 📋 190 - 32% open · ⏱️ 03.09.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fpredict-idlab\u002Fplotly-resampler\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fplotly-resampler) (📥 370K \u002F month · 📦 38 · ⏱️ 29.08.2025):\n\t```\n\tpip install plotly-resampler\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fplotly-resampler) (📥 140K · ⏱️ 09.10.2025):\n\t```\n\tconda install -c conda-forge plotly-resampler\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FContextLab\u002Fhypertools\">HyperTools\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002FContextLab\u002Fhypertools) (👨‍💻 23 · 🔀 160 · 📥 73 · 📦 510 · 📋 200 - 34% open · ⏱️ 10.07.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002FContextLab\u002Fhypertools\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fhypertools) (📥 1.1K \u002F month · 📦 2 · ⏱️ 09.07.2025):\n\t```\n\tpip install hypertools\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fdata-validation\">data-validation\u003C\u002Fa>\u003C\u002Fb> (🥉25 ·  ⭐ 780) - Library for exploring and validating machine learning.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fdata-validation) (👨‍💻 30 · 🔀 180 · 📥 1K · 📋 190 - 20% open · ⏱️ 23.06.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fdata-validation\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftensorflow-data-validation) (📥 150K \u002F month · 📦 32 · ⏱️ 09.06.2025):\n\t```\n\tpip install tensorflow-data-validation\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fspotify\u002Fchartify\">Chartify\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fspotify\u002Fchartify) (👨‍💻 27 · 🔀 340 · 📦 83 · 📋 86 - 62% open · ⏱️ 16.10.2024):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fspotify\u002Fchartify\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fchartify) (📥 1.2K \u002F month · 📦 9 · ⏱️ 16.10.2024):\n\t```\n\tpip install chartify\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fchartify) (📥 40K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge chartify\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fing-bank\u002Fpopmon\">Popmon\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 510) - Monitor the stability of a Pandas or Spark dataframe. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fing-bank\u002Fpopmon) (👨‍💻 19 · 🔀 36 · 📥 280 · 📦 22 · 📋 57 - 28% open · ⏱️ 04.09.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fing-bank\u002Fpopmon\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpopmon) (📥 3.4K \u002F month · 📦 4 · ⏱️ 04.09.2025):\n\t```\n\tpip install popmon\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvega\u002Fipyvega\">vega\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 390 · 💤) - IPython\u002FJupyter notebook module for Vega and Vega-Lite. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fvega\u002Fipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fvega\u002Fipyvega\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fvega) (📥 26K \u002F month · 📦 17 · ⏱️ 25.09.2024):\n\t```\n\tpip install vega\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fvega) (📥 940K · ⏱️ 04.10.2025):\n\t```\n\tconda install -c conda-forge vega\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>\u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvega\u002Fvegafusion\">vegafusion\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 390) - Serverside scaling for Vega and Altair visualizations. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode>\u003C\u002Fsummary>\n\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fvega\u002Fvegafusion) (👨‍💻 6 · 🔀 26 · 📥 6.6K · 📋 150 - 36% open · ⏱️ 29.09.2025):\n\n\t```\n\tgit clone https:\u002F\u002Fgithub.com\u002Fvegafusion\u002Fvegafusion\n\t```\n- [PyPi](https:\u002F\u002Fpypi.org\u002Fproject\u002Fvegafusion-jupyter) (📥 770 \u002F month · 📦 2 · ⏱️ 09.05.2024):\n\t```\n\tpip install vegafusion-jupyter\n\t```\n- [Conda](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fvegafusion-python-embed) (📥 520K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge vegafusion-python-embed\n\t```\n- [npm](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fvegafusion-jupyter) (📥 1.9K \u002F month · 📦 3 · ⏱️ 09.05.2024):\n\t```\n\tnpm install vegafusion-jupyter\n\t```\n\u003C\u002Fdetails>\n\u003Cdetails>\u003Csummary>Show 22 hidden projects...\u003C\u002Fsummary>\n\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FResidentMario\u002Fmissingno\">missingno\u003C\u002Fa>\u003C\u002Fb> (🥉30 ·  ⭐ 4.2K · 💀) - Missing data visualization module for Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FPAIR-code\u002Ffacets\">Facets Overview\u003C\u002Fa>\u003C\u002Fb> (🥉28 ·  ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsantosjorge\u002Fcufflinks\">Cufflinks\u003C\u002Fa>\u003C\u002Fb> (🥉28 ·  ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjupyter-widgets\u002Fpythreejs\">pythreejs\u003C\u002Fa>\u003C\u002Fb> (🥉27 ·  ⭐ 980 · 💀) - A Jupyter - Three.js bridge. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffbdesignpro\u002Fsweetviz\">Sweetviz\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 3.1K · 💀) - Visualize and compare datasets, target values and associations, with.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FAutoViML\u002FAutoViz\">AutoViz\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 1.9K · 💀) - Automatically Visualize any dataset, any size with a single line.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3nYMfla\">Apache-2\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftpvasconcelos\u002Fridgeplot\">ridgeplot\u003C\u002Fa>\u003C\u002Fb> (🥉26 ·  ⭐ 240) - Beautiful ridgeline plots in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fadamerose\u002FPandasGUI\">PandasGUI\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 3.3K) - A GUI for Pandas DataFrames. \u003Ccode>\u003Ca href=\"https:\u002F\u002Ftldrlegal.com\u002Fsearch?q=MIT-0\">❗️MIT-0\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002Fhiplot\">HiPlot\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmarcharper\u002Fpython-ternary\">python-ternary\u003C\u002Fa>\u003C\u002Fb> (🥉24 ·  ⭐ 770 · 💀) - Ternary plotting library for python with matplotlib. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FDmitryUlyanov\u002FMulticore-TSNE\">Multicore-TSNE\u003C\u002Fa>\u003C\u002Fb> (🥉23 ·  ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F3aKzpTv\">BSD-3\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FPatrikHlobil\u002FPandas-Bokeh\">Pandas-Bokeh\u003C\u002Fa>\u003C\u002Fb> (🥉22 ·  ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnicolaskruchten\u002Fjupyter_pivottablejs\">pivottablejs\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 710 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter\u002FIPython.. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode> \u003Ccode>\u003Cimg src=\"https:\u002F\u002Fgit.io\u002FJLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fleotac\u002Fjoypy\">joypy\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 600 · 💀) - Joyplots in Python with matplotlib & pandas. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgyli\u002FPyWaffle\">PyWaffle\u003C\u002Fa>\u003C\u002Fb> (🥉21 ·  ⭐ 600 · 💀) - Make Waffle Charts in Python. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsosuneko\u002FPDPbox\">PDPbox\u003C\u002Fa>\u003C\u002Fb> (🥉20 ·  ⭐ 860 · 💀) - python partial dependence plot toolbox. \u003Ccode>\u003Ca href=\"http:\u002F\u002Fbit.ly\u002F34MBwT8\">MIT\u003C\u002Fa>\u003C\u002Fcode>\n- \u003Cb>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ft-makaro\u002Fanimatplo","该项目是一个每周更新的优秀机器学习Python库排名列表。它收录了920个开源项目，总星标数达5.1M，并按34个类别进行分类。每个项目根据从GitHub和不同包管理器自动收集的各种指标计算出的质量分数进行排序。核心功能包括提供一个全面且定期更新的资源库，帮助开发者快速找到高质量的机器学习工具。技术特点为基于自动化数据采集与分析来评估项目的质量。适合场景包括但不限于数据科学家、机器学习工程师寻找合适工具时使用，以及任何希望了解当前热门或可靠机器学习库的研究人员。",2,"2026-06-11 03:23:33","top_topic"]