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Clients](#http-and-networking-clients)\n\t* [API and GraphQL](#api-and-graphql)\n\t* [Scraping and Crawling](#scraping-and-crawling)\n* Data and Storage\n\t* [Database Clients and ORMs](#database-clients-and-orms)\n\t* [Serialization and Formats](#serialization-and-formats)\n\t* [Caching and Queues](#caching-and-queues)\n* Machine Learning and AI\n\t* [LLM and Inference](#llm-and-inference)\n\t* [Machine Learning Frameworks](#machine-learning-frameworks)\n\t* [Computer Vision](#computer-vision)\n\t* [Natural Language Processing](#natural-language-processing)\n\t* [Data Science and Analytics](#data-science-and-analytics)\n* Networking and Distributed\n\t* [Networking](#networking)\n\t* [Cloud and Infrastructure](#cloud-and-infrastructure)\n\t* [Monitoring and Observability](#monitoring-and-observability)\n* User Interface\n\t* [GUI Toolkits](#gui-toolkits)\n\t* [Terminal and Console UI](#terminal-and-console-ui)\n\t* [Applications and End User Tools](#applications-and-end-user-tools)\n* Graphics and Media\n\t* [Graphics and Rendering](#graphics-and-rendering)\n\t* [Game Development](#game-development)\n\t* [Image and Video](#image-and-video)\n* Security\n\t* [Security Tools](#security-tools)\n\t* [Authentication and Authorization](#authentication-and-authorization)\n\t* [Reverse Engineering](#reverse-engineering)\n* Concurrency and Performance\n\t* [Concurrency and Parallelism](#concurrency-and-parallelism)\n* Testing and Quality\n\t* [Testing](#testing)\n* Utilities\n\t* [Command Line Tools](#command-line-tools)\n\t* [Text Processing](#text-processing)\n\t* [Files and Operating System](#files-and-operating-system)\n\t* [Date and Time](#date-and-time)\n\t* [Automation and Scripting](#automation-and-scripting)\n\t* [General Purpose Libraries](#general-purpose-libraries)\n* Science and Math\n\t* [Mathematics](#mathematics)\n\t* [Scientific Computing](#scientific-computing)\n* [Other](#other)\n\n## Learning and Reference\n\n### Tutorials and Books\n\n* [donnemartin/system-design-primer](https://github.com/donnemartin/system-design-primer) - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.\n* [jackfrued/Python-100-Days](https://github.com/jackfrued/Python-100-Days) - Python - 100天从新手到大师\n* [d2l-ai/d2l-zh](https://github.com/d2l-ai/d2l-zh) - 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。\n* [shareAI-lab/learn-claude-code](https://github.com/shareAI-lab/learn-claude-code) - Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1\n* [Asabeneh/30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python) - The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw\n* [rohitg00/ai-engineering-from-scratch](https://github.com/rohitg00/ai-engineering-from-scratch) - Learn it. Build it. Ship it for others.\n* [apachecn/ailearning](https://github.com/apachecn/ailearning) - AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2\n* [gto76/python-cheatsheet](https://github.com/gto76/python-cheatsheet) - Comprehensive Python Cheatsheet\n* [mouredev/Hello-Python](https://github.com/mouredev/Hello-Python) - Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...\n* [satwikkansal/wtfpython](https://github.com/satwikkansal/wtfpython) - What the f*ck Python? 😱\n* [d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en) - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.\n* [walter201230/Python](https://github.com/walter201230/Python) - 小白 python 教程\n* [wistbean/learn_python3_spider](https://github.com/wistbean/learn_python3_spider) - python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等\n* [stas00/ml-engineering](https://github.com/stas00/ml-engineering) - Machine Learning Engineering Open Book\n* [trekhleb/learn-python](https://github.com/trekhleb/learn-python) - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.\n* [microsoft/mcp-for-beginners](https://github.com/microsoft/mcp-for-beginners) - This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.\n* [dabeaz-course/python-mastery](https://github.com/dabeaz-course/python-mastery) - Advanced Python Mastery (course by @dabeaz)\n* [MorvanZhou/tutorials](https://github.com/MorvanZhou/tutorials) - 机器学习相关教程\n* [Jack-Cherish/PythonPark](https://github.com/Jack-Cherish/PythonPark) - Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。\n* [rougier/scientific-visualization-book](https://github.com/rougier/scientific-visualization-book) - An open access book on scientific visualization using python and matplotlib\n* [datawhalechina/all-in-rag](https://github.com/datawhalechina/all-in-rag) - 🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/\n* [dabeaz-course/practical-python](https://github.com/dabeaz-course/practical-python) - Practical Python Programming (course by @dabeaz)\n* [Yorko/mlcourse.ai](https://github.com/Yorko/mlcourse.ai) - Open Machine Learning Course\n* [chiphuyen/stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials) - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. *(archived)*\n* [MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow) - Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学\n* [mouredev/roadmap-retos-programacion](https://github.com/mouredev/roadmap-retos-programacion) - Ruta de estudio basada en ejercicios de código de la comunidad MoureDev para aprender y practicar lógica usando cualquier lenguaje de programación.\n* [Rockyzsu/stock](https://github.com/Rockyzsu/stock) - 30天掌握量化交易 (持续更新)\n* [crazyguitar/pysheeet](https://github.com/crazyguitar/pysheeet) - Python Cheat Sheet\n* [microsoft/Mastering-GitHub-Copilot-for-Paired-Programming](https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming) - A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.\n* [MingchaoZhu/DeepLearning](https://github.com/MingchaoZhu/DeepLearning) - Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现\n* [matplotlib/cheatsheets](https://github.com/matplotlib/cheatsheets) - Official Matplotlib cheat sheets\n* [lining0806/PythonSpiderNotes](https://github.com/lining0806/PythonSpiderNotes) - Python入门网络爬虫之精华版\n* [instillai/machine-learning-course](https://github.com/instillai/machine-learning-course) - :speech_balloon: Machine Learning Course with Python:\n* [jerry-git/learn-python3](https://github.com/jerry-git/learn-python3) - Jupyter notebooks for teaching/learning Python 3\n* [SmirkCao/Lihang](https://github.com/SmirkCao/Lihang) - Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]\n* [huangsam/ultimate-python](https://github.com/huangsam/ultimate-python) - Ultimate Python study guide 🐍 🐍 🐍\n* [moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES](https://github.com/moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES) - 《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。\n* [navdeep-G/setup.py](https://github.com/navdeep-G/setup.py) - 📦 A Human's Ultimate Guide to setup.py.\n* [zedr/clean-code-python](https://github.com/zedr/clean-code-python) - :bathtub: Clean Code concepts adapted for Python\n* [iam-veeramalla/python-for-devops](https://github.com/iam-veeramalla/python-for-devops) - Learn Python from DevOps Engineer point of you.\n* [skyzh/tiny-llm](https://github.com/skyzh/tiny-llm) - learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen\n* [Kr1s77/Python-crawler-tutorial-starts-from-zero](https://github.com/Kr1s77/Python-crawler-tutorial-starts-from-zero) - python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架\n* [astorfi/TensorFlow-World](https://github.com/astorfi/TensorFlow-World) - :earth_americas: Simple and ready-to-use tutorials for TensorFlow\n* [OmkarPathak/pygorithm](https://github.com/OmkarPathak/pygorithm) - A Python module for learning all major algorithms\n* [MorvanZhou/Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial) - Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学\n* [dabeaz/python-cookbook](https://github.com/dabeaz/python-cookbook) - Code samples from the \"Python Cookbook, 3rd Edition\", published by O'Reilly \u0026 Associates, May, 2013.\n* [TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials) - Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). Build EU AI Act conformity evidence, validate models like a risk committee, price predictive-maintenance alarms, measure document extraction, and make a simulated humanoid walk. Every lesson autograded. From the team building Synapsa.\n* [hunkim/PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll) - Simple PyTorch Tutorials Zero to ALL!\n* [cosmicpython/book](https://github.com/cosmicpython/book) - A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it \"Cosmic Python\" tho.\n* [ZiniuLu/Python-100-Days](https://github.com/ZiniuLu/Python-100-Days) - 出处：https://github.com/jackfrued/Python-100-Days.git\n* [Wookai/paper-tips-and-tricks](https://github.com/Wookai/paper-tips-and-tricks) - Best practice and tips \u0026 tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.\n* [chrisconlan/algorithmic-trading-with-python](https://github.com/chrisconlan/algorithmic-trading-with-python) - Source code for Algorithmic Trading with Python (2020) by Chris Conlan\n* [iswbm/magic-python](https://github.com/iswbm/magic-python) - Python 黑魔法手册\n* [scipy-lectures/scientific-python-lectures](https://github.com/scipy-lectures/scientific-python-lectures) - Tutorial material on the scientific Python ecosystem\n* [rougier/matplotlib-tutorial](https://github.com/rougier/matplotlib-tutorial) - Matplotlib tutorial for beginner\n* [PegasusWang/python_data_structures_and_algorithms](https://github.com/PegasusWang/python_data_structures_and_algorithms) - Python 中文数据结构和算法教程\n* [rougier/matplotlib-cheatsheet](https://github.com/rougier/matplotlib-cheatsheet) - Matplotlib 3.1 cheat sheet.\n* [bslatkin/effectivepython](https://github.com/bslatkin/effectivepython) - Effective Python: Third Edition — Source Code and Errata for the Book\n* [luispedro/BuildingMachineLearningSystemsWithPython](https://github.com/luispedro/BuildingMachineLearningSystemsWithPython) - Source Code for the book Building Machine Learning Systems with Python\n\n### Examples and Exercises\n\n* [TheAlgorithms/Python](https://github.com/TheAlgorithms/Python) - All Algorithms implemented in Python\n* [bregman-arie/devops-exercises](https://github.com/bregman-arie/devops-exercises) - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions\n* [fastapi/full-stack-fastapi-template](https://github.com/fastapi/full-stack-fastapi-template) - Full-stack web application template with FastAPI, React, SQLModel, PostgreSQL, Vite, Tailwind CSS, shadcn/ui, FastAPI Cloud, and Docker Compose.\n* [faif/python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns/idioms in Python\n* [geekcomputers/Python](https://github.com/geekcomputers/Python) - My Python Examples\n* [donnemartin/interactive-coding-challenges](https://github.com/donnemartin/interactive-coding-challenges) - 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.\n* [AtsushiSakai/PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - Python sample codes and textbook for robotics algorithms.\n* [donnemartin/data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.\n* [Ebazhanov/linkedin-skill-assessments-quizzes](https://github.com/Ebazhanov/linkedin-skill-assessments-quizzes) - Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers\n* [keon/algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms in Python\n* [Jack-Cherish/python-spider](https://github.com/Jack-Cherish/python-spider) - :rainbow:Python3网络爬虫实战：淘宝、京东、网易云、B站、12306、抖音、笔趣阁、漫画小说下载、音乐电影下载等\n* [Python-World/python-mini-projects](https://github.com/Python-World/python-mini-projects) - A collection of simple python mini projects to enhance your python skills *(archived)*\n* [ShangtongZhang/reinforcement-learning-an-introduction](https://github.com/ShangtongZhang/reinforcement-learning-an-introduction) - Python Implementation of Reinforcement Learning: An Introduction\n* [shengqiangzhang/examples-of-web-crawlers](https://github.com/shengqiangzhang/examples-of-web-crawlers) - 一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )\n* [rougier/numpy-100](https://github.com/rougier/numpy-100) - 100 numpy exercises (with solutions)\n* [rushter/MLAlgorithms](https://github.com/rushter/MLAlgorithms) - Minimal and clean examples of machine learning algorithms implementations\n* [injetlee/Python](https://github.com/injetlee/Python) - Python脚本。模拟登录知乎， 爬虫，操作excel，微信公众号，远程开机\n* [Jack-Cherish/Machine-Learning](https://github.com/Jack-Cherish/Machine-Learning) - :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归\n* [lazyprogrammer/machine_learning_examples](https://github.com/lazyprogrammer/machine_learning_examples) - A collection of machine learning examples and tutorials.\n* [Chalarangelo/30-seconds-of-python](https://github.com/Chalarangelo/30-seconds-of-python) - Short Python code snippets for all your development needs *(archived)*\n* [miguelgrinberg/flasky](https://github.com/miguelgrinberg/flasky) - Companion code to my O'Reilly book \"Flask Web Development\", second edition.\n* [lawlite19/MachineLearning_Python](https://github.com/lawlite19/MachineLearning_Python) - 机器学习算法python实现\n* [jackzhenguo/python-small-examples](https://github.com/jackzhenguo/python-small-examples) - 告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com\n* [itcharge/AlgoNote](https://github.com/itcharge/AlgoNote) - ⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！\n* [PyQt5/PyQt](https://github.com/PyQt5/PyQt) - PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5\n* [mouredev/retos-programacion-2023](https://github.com/mouredev/retos-programacion-2023) - Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.\n* [fluentpython/example-code](https://github.com/fluentpython/example-code) - Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015) *(archived)*\n* [gxcuizy/Python](https://github.com/gxcuizy/Python) - Python3编写的各种大小程序，包含从零学Python系列、12306抢票、省市区地址库以及系列网站爬虫等学习源码\n* [TurboWay/bigdata_analyse](https://github.com/TurboWay/bigdata_analyse) - 大数据分析项目\n* [qiyuangong/leetcode](https://github.com/qiyuangong/leetcode) - Python \u0026 JAVA Solutions for Leetcode\n* [jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction](https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction) - LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data\n* [careercup/CtCI-6th-Edition-Python](https://github.com/careercup/CtCI-6th-Edition-Python) - Cracking the Coding Interview 6th Ed. Python Solutions\n* [gregmalcolm/python_koans](https://github.com/gregmalcolm/python_koans) - Python Koans - Learn Python through TDD\n* [miguelgrinberg/microblog](https://github.com/miguelgrinberg/microblog) - The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.\n* [cookiecutter-flask/cookiecutter-flask](https://github.com/cookiecutter-flask/cookiecutter-flask) - A flask template with Bootstrap, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.\n* [pythonguis/pythonguis-examples](https://github.com/pythonguis/pythonguis-examples) - Build desktop apps built with Python. Examples for PyQt6, PySide6, Flet, DearPyGUI, Kivy, NiceGUI, Streamlit, Tkinter, PyQt5 \u0026 PySide2\n* [audreyfeldroy/cookiecutter-pypackage](https://github.com/audreyfeldroy/cookiecutter-pypackage) - Cookiecutter template for a Python package.\n* [daveebbelaar/ai-cookbook](https://github.com/daveebbelaar/ai-cookbook) - Examples and tutorials to help developers build AI systems\n* [ndleah/python-mini-project](https://github.com/ndleah/python-mini-project) - 🙌 Welcome open-source Python mini-project contributions!\n* [Sentdex/pygta5](https://github.com/Sentdex/pygta5) - Explorations of Using Python to play Grand Theft Auto 5.\n* [MTrajK/coding-problems](https://github.com/MTrajK/coding-problems) - Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures\n* [wkunzhi/Python3-Spider](https://github.com/wkunzhi/Python3-Spider) - Python爬虫实战 - 模拟登陆各大网站 包含但不限于：滑块验证、拼多多、美团、百度、bilibili、大众点评、淘宝，如果喜欢请start ❤️\n* [nsidnev/fastapi-realworld-example-app](https://github.com/nsidnev/fastapi-realworld-example-app) - Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI *(archived)*\n* [prakhar1989/Algorithms](https://github.com/prakhar1989/Algorithms) - :computer: Data Structures and Algorithms in Python\n* [brennerm/PyTricks](https://github.com/brennerm/PyTricks) - Collection of less popular features and tricks for the Python programming language\n* [realpython/python-scripts](https://github.com/realpython/python-scripts) - because i'm tired of gists\n* [csujedihy/lc-all-solutions](https://github.com/csujedihy/lc-all-solutions) - My own leetcode solutions by python\n* [needleworm/bhban_rpa](https://github.com/needleworm/bhban_rpa) - \u003c6개월 치 업무를 하루 만에 끝내는 업무 자동화(생능출판사, 2020)\u003e의 예제 코드입니다. 파이썬을 한 번도 배워본 적 없는 분들을 위한 예제이며, 엑셀부터 디자인, 매크로, 크롤링까지 업무 자동화와 관련된 다양한 분야 예제가 제공됩니다.\n\n### Awesome Lists and Collections\n\n* [vinta/awesome-python](https://github.com/vinta/awesome-python) - The definitive list that answers \"I want to do X in Python, which tool should I use?\"\n* [practical-tutorials/project-based-learning](https://github.com/practical-tutorials/project-based-learning) - Curated list of project-based tutorials\n* [521xueweihan/HelloGitHub](https://github.com/521xueweihan/HelloGitHub) - :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.\n* [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) - 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.\n* [RunaCapital/awesome-oss-alternatives](https://github.com/RunaCapital/awesome-oss-alternatives) - Awesome list of open-source startup alternatives to well-known SaaS products 🚀\n* [EvanLi/Github-Ranking](https://github.com/EvanLi/Github-Ranking) - :star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新\n* [EwingYangs/awesome-open-gpt](https://github.com/EwingYangs/awesome-open-gpt) - Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥\n* [ujjwalkarn/DataSciencePython](https://github.com/ujjwalkarn/DataSciencePython) - common data analysis and machine learning tasks using python\n* [dahlia/awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy) - A curated list of awesome tools for SQLAlchemy\n\n## Language and Tooling\n\n### Compilers and Interpreters\n\n* [python/cpython](https://github.com/python/cpython) - The Python programming language\n* [exaloop/codon](https://github.com/exaloop/codon) - A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support\n* [Nuitka/Nuitka](https://github.com/Nuitka/Nuitka) - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.14. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.\n* [pyodide/pyodide](https://github.com/pyodide/pyodide) - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly\n* [numba/numba](https://github.com/numba/numba) - NumPy aware dynamic Python compiler using LLVM\n* [cython/cython](https://github.com/cython/cython) - The most widely used Python to C compiler\n* [samshadwell/TrumpScript](https://github.com/samshadwell/TrumpScript) - Make Python great again *(archived)*\n* [brython-dev/brython](https://github.com/brython-dev/brython) - Brython (Browser Python) is an implementation of Python 3 running in the browser\n* [lark-parser/lark](https://github.com/lark-parser/lark) - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.\n* [hylang/hy](https://github.com/hylang/hy) - A dialect of Lisp that's embedded in Python\n* [vyperlang/vyper](https://github.com/vyperlang/vyper) - Pythonic Smart Contract Language for the EVM\n* [evhub/coconut](https://github.com/evhub/coconut) - Simple, elegant, Pythonic functional programming.\n* [eliben/pycparser](https://github.com/eliben/pycparser) - :snake: Complete C99 parser in pure Python\n* [colesbury/nogil](https://github.com/colesbury/nogil) - Multithreaded Python without the GIL *(archived)*\n* [dabeaz/ply](https://github.com/dabeaz/ply) - Python Lex-Yacc *(archived)*\n\n### Build Systems\n\n* [cookiecutter/cookiecutter](https://github.com/cookiecutter/cookiecutter) - A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.\n* [cookiecutter/cookiecutter-django](https://github.com/cookiecutter/cookiecutter-django) - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.\n* [pyinstaller/pyinstaller](https://github.com/pyinstaller/pyinstaller) - Freeze (package) Python programs into stand-alone executables\n* [pyinvoke/invoke](https://github.com/pyinvoke/invoke) - Pythonic task management \u0026 command execution.\n* [pex-tool/pex](https://github.com/pex-tool/pex) - A tool for generating .pex (Python EXecutable) files, lock files and venvs.\n* [mherrmann/fbs](https://github.com/mherrmann/fbs) - Create Python GUIs with Qt in minutes\n* [beeware/briefcase](https://github.com/beeware/briefcase) - Tools to support converting a Python project into a standalone native application.\n* [blade-build/blade-build](https://github.com/blade-build/blade-build) - Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...\n\n### Package Management\n\n* [python-poetry/poetry](https://github.com/python-poetry/poetry) - Python packaging and dependency management made easy\n* [pypa/pipenv](https://github.com/pypa/pipenv) - Python Development Workflow for Humans.\n* [pypa/pipx](https://github.com/pypa/pipx) - Install and Run Python Applications in Isolated Environments\n* [pypa/pip](https://github.com/pypa/pip) - The Python package installer\n* [pdm-project/pdm](https://github.com/pdm-project/pdm) - A modern Python package and dependency manager supporting the latest PEP standards\n* [jazzband/pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh.\n* [hacs/integration](https://github.com/hacs/integration) - HACS gives you a powerful UI to handle downloads of all your custom needs.\n* [conda/conda](https://github.com/conda/conda) - A system-level, binary package and environment manager running on all major operating systems and platforms.\n* [pypa/hatch](https://github.com/pypa/hatch) - Modern, extensible Python project management\n* [spack/spack](https://github.com/spack/spack) - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.\n* [pypa/virtualenv](https://github.com/pypa/virtualenv) - Virtual Python Environment builder\n* [astral-sh/python-build-standalone](https://github.com/astral-sh/python-build-standalone) - Produce redistributable builds of Python\n* [fo40225/tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel) - Tensorflow prebuilt binary for Windows\n* [pypa/flit](https://github.com/pypa/flit) - Simplified packaging of Python modules\n\n### Linters and Formatters\n\n* [psf/black](https://github.com/psf/black) - The uncompromising Python code formatter\n* [python/mypy](https://github.com/python/mypy) - Optional static typing for Python\n* [astral-sh/ty](https://github.com/astral-sh/ty) - An extremely fast Python type checker and language server, written in Rust.\n* [microsoft/pyright](https://github.com/microsoft/pyright) - Static Type Checker for Python\n* [pre-commit/pre-commit](https://github.com/pre-commit/pre-commit) - A framework for managing and maintaining multi-language pre-commit hooks.\n* [google/yapf](https://github.com/google/yapf) - A formatter for Python files\n* [facebook/pyre-check](https://github.com/facebook/pyre-check) - Performant type-checking for python. *(archived)*\n* [repowise-dev/repowise](https://github.com/repowise-dev/repowise) - Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.\n* [PyCQA/isort](https://github.com/PyCQA/isort) - A Python utility / library to sort imports.\n* [pre-commit/pre-commit-hooks](https://github.com/pre-commit/pre-commit-hooks) - Some out-of-the-box hooks for pre-commit\n* [PyCQA/pycodestyle](https://github.com/PyCQA/pycodestyle) - Simple Python style checker in one Python file\n* [python/typeshed](https://github.com/python/typeshed) - Collection of library stubs for Python, with static types\n* [google/pytype](https://github.com/google/pytype) - A static type analyzer for Python code *(archived)*\n* [Instagram/MonkeyType](https://github.com/Instagram/MonkeyType) - A Python library that generates static type annotations by collecting runtime types\n* [jendrikseipp/vulture](https://github.com/jendrikseipp/vulture) - Find dead Python code\n* [hhatto/autopep8](https://github.com/hhatto/autopep8) - A tool that automatically formats Python code to conform to the PEP 8 style guide.\n* [asottile/pyupgrade](https://github.com/asottile/pyupgrade) - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.\n* [coala/coala](https://github.com/coala/coala) - coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.\n* [beartype/beartype](https://github.com/beartype/beartype) - Unbearably fast near-real-time pure-Python runtime-static type-checker.\n\n### Debugging and Profiling\n\n* [cool-RR/PySnooper](https://github.com/cool-RR/PySnooper) - Never use print for debugging again\n* [bloomberg/memray](https://github.com/bloomberg/memray) - Memray is a memory profiler for Python\n* [plasma-umass/scalene](https://github.com/plasma-umass/scalene) - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals\n* [cyrus-and/gdb-dashboard](https://github.com/cyrus-and/gdb-dashboard) - Modular visual interface for GDB in Python\n* [gruns/icecream](https://github.com/gruns/icecream) - 🍦 Never use print() to debug again.\n* [joerick/pyinstrument](https://github.com/joerick/pyinstrument) - 🚴 Call stack profiler for Python. Shows you why your code is slow!\n* [gaogaotiantian/viztracer](https://github.com/gaogaotiantian/viztracer) - A debugging and profiling tool that can trace and visualize python code execution\n* [snare/voltron](https://github.com/snare/voltron) - A hacky debugger UI for hackers\n* [Qix-/better-exceptions](https://github.com/Qix-/better-exceptions) - Pretty and useful exceptions in Python, automatically.\n* [pythonprofilers/memory_profiler](https://github.com/pythonprofilers/memory_profiler) - Monitor Memory usage of Python code\n* [nvdv/vprof](https://github.com/nvdv/vprof) - Visual profiler for Python\n* [rkern/line_profiler](https://github.com/rkern/line_profiler) - (OLD REPO) Line-by-line profiling for Python - Current repo -\u003e *(archived)*\n* [reloadware/reloadium](https://github.com/reloadware/reloadium) - Hot Reloading and Profiling for Python\n* [what-studio/profiling](https://github.com/what-studio/profiling) - Was an interactive continuous Python profiler. *(archived)*\n* [laike9m/Cyberbrain](https://github.com/laike9m/Cyberbrain) - Python debugging, redefined.\n* [breuleux/jurigged](https://github.com/breuleux/jurigged) - Hot reloading for Python\n\n### Editor and IDE Support\n\n* [spyder-ide/spyder](https://github.com/spyder-ide/spyder) - Official repository for Spyder - The Scientific Python Development Environment\n* [davidhalter/jedi](https://github.com/davidhalter/jedi) - Awesome autocompletion, static analysis and refactoring library for python\n* [Shougo/deoplete.nvim](https://github.com/Shougo/deoplete.nvim) - :stars: Dark powered asynchronous completion framework for neovim/Vim8\n* [thonny/thonny](https://github.com/thonny/thonny) - Python IDE for beginners\n* [prompt-toolkit/pyvim](https://github.com/prompt-toolkit/pyvim) - Pure Python Vim clone.\n* [DamnWidget/anaconda](https://github.com/DamnWidget/anaconda) - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3\n* [Komodo/KomodoEdit](https://github.com/Komodo/KomodoEdit) - Komodo Edit is a fast and free multi-language code editor. Written in JS, Python, C++ and based on the Mozilla platform.\n* [wuub/SublimeREPL](https://github.com/wuub/SublimeREPL) - SublimeREPL - run an interpreter inside ST2 (Clojure, CoffeeScript, F#, Groovy, Haskell, Lua, MozRepl, NodeJS, Python, R, Ruby, Scala, shell or configure one yourself)\n* [duydao/Text-Pastry](https://github.com/duydao/Text-Pastry) - Extend the power of multiple selections in Sublime Text. Modify selections, insert numeric sequences, incremental numbers, generate uuids, date ranges, insert continuously from a word list and more.\n\n## Web\n\n### Web Frameworks\n\n* [fastapi/fastapi](https://github.com/fastapi/fastapi) - FastAPI framework, high performance, easy to learn, fast to code, ready for production\n* [django/django](https://github.com/django/django) - The Web framework for perfectionists with deadlines.\n* [pallets/flask](https://github.com/pallets/flask) - The Python micro framework for building web applications.\n* [reflex-dev/reflex](https://github.com/reflex-dev/reflex) - 🕸️ Web apps in pure Python 🐍\n* [tornadoweb/tornado](https://github.com/tornadoweb/tornado) - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.\n* [wagtail/wagtail](https://github.com/wagtail/wagtail) - A Django content management system focused on flexibility and user experience\n* [sanic-org/sanic](https://github.com/sanic-org/sanic) - Accelerate your web app development | Build fast. Run fast.\n* [zauberzeug/nicegui](https://github.com/zauberzeug/nicegui) - Create web-based user interfaces with Python. The nice way.\n* [Kludex/starlette](https://github.com/Kludex/starlette) - The little ASGI framework that shines. 🌟\n* [frappe/frappe](https://github.com/frappe/frappe) - Low code web framework for real world applications, in Python and Javascript\n* [falconry/falcon](https://github.com/falconry/falcon) - The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.\n* [bottlepy/bottle](https://github.com/bottlepy/bottle) - bottle.py is a fast and simple micro-framework for python web-applications.\n* [litestar-org/litestar](https://github.com/litestar-org/litestar) - Light, flexible and extensible ASGI framework | Built to scale\n* [sparckles/Robyn](https://github.com/sparckles/Robyn) - Robyn is a Super Fast Async Python Web Framework with a Rust runtime.\n* [pallets/werkzeug](https://github.com/pallets/werkzeug) - The comprehensive WSGI web application library.\n* [mesop-dev/mesop](https://github.com/mesop-dev/mesop) - Rapidly build AI apps in Python\n* [webpy/webpy](https://github.com/webpy/webpy) - web.py is a web framework for python that is as simple as it is powerful.\n* [vibora-io/vibora](https://github.com/vibora-io/vibora) - Fast, asynchronous and elegant Python web framework. *(archived)*\n* [dpgaspar/Flask-AppBuilder](https://github.com/dpgaspar/Flask-AppBuilder) - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/\n* [h2oai/wave](https://github.com/h2oai/wave) - Realtime Web Apps and Dashboards for Python and R\n* [Pylons/pyramid](https://github.com/Pylons/pyramid) - Pyramid - A Python web framework\n* [pallets/quart](https://github.com/pallets/quart) - An async Python micro framework for building web applications.\n* [kennethreitz/responder](https://github.com/kennethreitz/responder) - A familiar HTTP Service Framework for Python.\n* [eudicots/Cactus](https://github.com/eudicots/Cactus) - Static site generator for designers. Uses Python and Django templates.\n* [getnikola/nikola](https://github.com/getnikola/nikola) - A static website and blog generator\n* [Fantomas42/django-blog-zinnia](https://github.com/Fantomas42/django-blog-zinnia) - Simple yet powerful and really extendable application for managing a blog within your Django Web site.\n\n### HTTP and Networking Clients\n\n* [psf/requests](https://github.com/psf/requests) - A simple, yet elegant, HTTP library.\n* [httpie/cli](https://github.com/httpie/cli) - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins \u0026 more.\n* [MetaCubeX/mihomo](https://github.com/MetaCubeX/mihomo) - A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.\n* [aio-libs/aiohttp](https://github.com/aio-libs/aiohttp) - Asynchronous HTTP client/server framework for asyncio and Python\n* [encode/httpx](https://github.com/encode/httpx) - A next generation HTTP client for Python. 🦋\n* [darrenburns/posting](https://github.com/darrenburns/posting) - The modern API client that lives in your terminal.\n* [tweepy/tweepy](https://github.com/tweepy/tweepy) - Twitter for Python!\n* [httpie/http-prompt](https://github.com/httpie/http-prompt) - An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie\n* [PyGithub/PyGithub](https://github.com/PyGithub/PyGithub) - Typed interactions with the GitHub API v3\n* [burnash/gspread](https://github.com/burnash/gspread) - Google Sheets Python API\n* [sammchardy/python-binance](https://github.com/sammchardy/python-binance) - Binance Exchange API python implementation for automated trading\n* [lexiforest/curl_cffi](https://github.com/lexiforest/curl_cffi) - Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser tls/ja3/http2 fingerprints.\n* [spotipy-dev/spotipy](https://github.com/spotipy-dev/spotipy) - A light weight Python library for the Spotify Web API\n* [googlemaps/google-maps-services-python](https://github.com/googlemaps/google-maps-services-python) - Python client library for Google Maps API Web Services\n* [RomelTorres/alpha_vantage](https://github.com/RomelTorres/alpha_vantage) - A python wrapper for Alpha Vantage API for financial data.\n* [geopy/geopy](https://github.com/geopy/geopy) - Geocoding library for Python.\n* [jamalex/notion-py](https://github.com/jamalex/notion-py) - Unofficial Python API client for Notion.so\n* [wechatpy/wechatpy](https://github.com/wechatpy/wechatpy) - WeChat SDK for Python\n* [praw-dev/praw](https://github.com/praw-dev/praw) - PRAW, an acronym for \"Python Reddit API Wrapper\", is a python package that allows for simple access to Reddit's API.\n* [urllib3/urllib3](https://github.com/urllib3/urllib3) - urllib3 is a user-friendly HTTP client library for Python\n* [slackapi/python-slack-sdk](https://github.com/slackapi/python-slack-sdk) - Slack Developer Kit for Python\n* [bear/python-twitter](https://github.com/bear/python-twitter) - A Python wrapper around the Twitter API. *(archived)*\n* [python-twitter-tools/twitter](https://github.com/python-twitter-tools/twitter) - Python Twitter API *(archived)*\n* [facebookarchive/python-instagram](https://github.com/facebookarchive/python-instagram) - Python Client for Instagram API *(archived)*\n* [goldsmith/Wikipedia](https://github.com/goldsmith/Wikipedia) - A Pythonic wrapper for the Wikipedia API\n* [picklepete/pyicloud](https://github.com/picklepete/pyicloud) - A Python + iCloud wrapper to access iPhone and Calendar data.\n* [mobolic/facebook-sdk](https://github.com/mobolic/facebook-sdk) - Python SDK for Facebook's Graph API\n* [simon-weber/gmusicapi](https://github.com/simon-weber/gmusicapi) - An unofficial client library for Google Music. *(archived)*\n* [ValvePython/steam](https://github.com/ValvePython/steam) - ☁️ Python package for interacting with Steam\n* [yoavaviram/python-amazon-simple-product-api](https://github.com/yoavaviram/python-amazon-simple-product-api) - A simple Python wrapper for the Amazon.com Product Advertising API ⛺\n\n### API and GraphQL\n\n* [encode/django-rest-framework](https://github.com/encode/django-rest-framework) - Web APIs for Django. 🎸\n* [vitalik/django-ninja](https://github.com/vitalik/django-ninja) - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs\n* [graphql-python/graphene](https://github.com/graphql-python/graphene) - GraphQL framework for Python\n* [hugapi/hug](https://github.com/hugapi/hug) - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.\n* [pyeve/eve](https://github.com/pyeve/eve) - REST API framework designed for human beings\n* [encode/apistar](https://github.com/encode/apistar) - The Web API toolkit. 🛠 *(archived)*\n* [strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry) - A GraphQL library for Python that leverages type annotations 🍓\n* [spec-first/connexion](https://github.com/spec-first/connexion) - Connexion is a modern Python web framework that makes spec-first and api-first development easy.\n* [graphql-python/graphene-django](https://github.com/graphql-python/graphene-django) - Build powerful, efficient, and flexible GraphQL APIs with seamless Django integration.\n* [toastdriven/restless](https://github.com/toastdriven/restless) - A lightweight REST miniframework for Python.\n\n### Scraping and Crawling\n\n* [browser-use/browser-use](https://github.com/browser-use/browser-use) - Agents that use the browser.\n* [D4Vinci/Scrapling](https://github.com/D4Vinci/Scrapling) - 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev\n* [scrapy/scrapy](https://github.com/scrapy/scrapy) - Scrapy, a fast high-level web crawling \u0026 scraping framework for Python.\n* [CloakHQ/CloakBrowser](https://github.com/CloakHQ/CloakBrowser) - Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.\n* [ScrapeGraphAI/Scrapegraph-ai](https://github.com/ScrapeGraphAI/Scrapegraph-ai) - Python scraper based on AI\n* [jhao104/proxy_pool](https://github.com/jhao104/proxy_pool) - Python ProxyPool for web spider\n* [Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) - Automate browser based workflows with AI\n* [Evil0ctal/Douyin_TikTok_Download_API](https://github.com/Evil0ctal/Douyin_TikTok_Download_API) - 🚀 抖音、TikTok 数据采集与无水印视频下载 API，自托管，支持 MCP 调用与 Docker 一键部署。| Self-hosted TikTok \u0026 Douyin scraper and no-watermark video downloader — async REST API, MCP server, CLI and web console for posts, profiles, comments and playlists. Self-healing identity pool, PostgreSQL archive, one docker compose up.\n* [binux/pyspider](https://github.com/binux/pyspider) - A Powerful Spider(Web Crawler) System in Python. *(archived)*\n* [Kr1s77/awesome-python-login-model](https://github.com/Kr1s77/awesome-python-login-model) - 😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟\n* [codelucas/newspaper](https://github.com/codelucas/newspaper) - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:\n* [psf/requests-html](https://github.com/psf/requests-html) - Pythonic HTML Parsing for Humans™\n* [g1879/DrissionPage](https://github.com/g1879/DrissionPage) - Python based web automation tool. Powerful and elegant.\n* [dataabc/weiboSpider](https://github.com/dataabc/weiboSpider) - 新浪微博爬虫，用python爬取新浪微博数据\n* [apify/crawlee-python](https://github.com/apify/crawlee-python) - Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.\n* [hardikvasa/google-images-download](https://github.com/hardikvasa/google-images-download) - Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!\n* [jdepoix/youtube-transcript-api](https://github.com/jdepoix/youtube-transcript-api) - This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!\n* [mherrmann/helium](https://github.com/mherrmann/helium) - Lighter web automation with Python\n* [alirezamika/autoscraper](https://github.com/alirezamika/autoscraper) - A Smart, Automatic, Fast and Lightweight Web Scraper for Python\n* [wbt5/real-url](https://github.com/wbt5/real-url) - 获取斗鱼\u0026虎牙\u0026哔哩哔哩\u0026抖音\u0026快手等 58 个直播平台的真实流媒体地址(直播源)和弹幕，直播源可在 PotPlayer、flv.js 等播放器中播放。\n* [hect0x7/JMComic-Crawler-Python](https://github.com/hect0x7/JMComic-Crawler-Python) - Python API for JMComic | 提供Python API访问禁漫天堂，同时支持网页端和移动端 | 禁漫天堂GitHub Actions下载器🚀\n* [luyishisi/Anti-Anti-Spider](https://github.com/luyishisi/Anti-Anti-Spider) - 越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）（因工作原因，项目暂停）\n* [autoscrape-labs/pydoll](https://github.com/autoscrape-labs/pydoll) - Pydoll is a library for automating chromium-based browsers without a WebDriver, offering realistic interactions.\n* [adbar/trafilatura](https://github.com/adbar/trafilatura) - Python \u0026 Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML\n* [subzeroid/instagrapi](https://github.com/subzeroid/instagrapi) - 🔥 The fastest and powerful Python library for Instagram Private API 2026 with HikerAPI SaaS\n* [VeNoMouS/cloudscraper](https://github.com/VeNoMouS/cloudscraper) - A Python module to bypass Cloudflare's anti-bot page.\n* [davidteather/TikTok-Api](https://github.com/davidteather/TikTok-Api) - The Unofficial TikTok API Wrapper In Python\n* [qbittorrent/search-plugins](https://github.com/qbittorrent/search-plugins) - Search plugins for qBittorrent search feature\n* [chyroc/WechatSogou](https://github.com/chyroc/WechatSogou) - 基于搜狗微信搜索的微信公众号爬虫接口\n* [JustAnotherArchivist/snscrape](https://github.com/JustAnotherArchivist/snscrape) - A social networking service scraper in Python\n* [MechanicalSoup/MechanicalSoup](https://github.com/MechanicalSoup/MechanicalSoup) - A Python library for automating interaction with websites.\n* [d60/twikit](https://github.com/d60/twikit) - Twitter API Scraper | Without an API key | Twitter Internal API | Free | Twitter scraper | Twitter Bot\n* [dataabc/weibo-crawler](https://github.com/dataabc/weibo-crawler) - 新浪微博爬虫，用python爬取新浪微博数据，并下载微博图片和微博视频\n* [nghuyong/WeiboSpider](https://github.com/nghuyong/WeiboSpider) - 持续维护的新浪微博采集工具🚀🚀🚀\n* [fake-useragent/fake-useragent](https://github.com/fake-useragent/fake-useragent) - Up-to-date simple useragent faker with real world database *(archived)*\n* [MikeChongCan/scylla](https://github.com/MikeChongCan/scylla) - Intelligent proxy pool for Humans™ to extract content from the internet and build your own Large Language Models in this new AI era\n* [bisguzar/twitter-scraper](https://github.com/bisguzar/twitter-scraper) - Scrape the Twitter Frontend API without authentication. *(archived)*\n* [elliotgao2/toapi](https://github.com/elliotgao2/toapi) - Every web site provides APIs.\n* [Anorov/cloudflare-scrape](https://github.com/Anorov/cloudflare-scrape) - A Python module to bypass Cloudflare's anti-bot page.\n* [jeanphix/Ghost.py](https://github.com/jeanphix/Ghost.py) - Webkit based scriptable web browser for python.\n* [gawel/pyquery](https://github.com/gawel/pyquery) - A jquery-like library for python\n* [egrcc/zhihu-python](https://github.com/egrcc/zhihu-python) - 获取知乎内容信息，包括问题，答案，用户，收藏夹信息\n* [openstates/openstates-scrapers](https://github.com/openstates/openstates-scrapers) - source for Open States scrapers\n\n## Data and Storage\n\n### Database Clients and ORMs\n\n* [fastapi/sqlmodel](https://github.com/fastapi/sqlmodel) - SQL databases in Python, designed for simplicity, compatibility, and robustness.\n* [redis/redis-py](https://github.com/redis/redis-py) - Redis Python client\n* [dbcli/pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting\n* [sqlalchemy/sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) - The Database Toolkit for Python\n* [coleifer/peewee](https://github.com/coleifer/peewee) - a small, expressive orm -- supports postgresql, mysql, sqlite, now with asyncio\n* [dbcli/mycli](https://github.com/dbcli/mycli) - Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes\n* [tobymao/sqlglot](https://github.com/tobymao/sqlglot) - Python SQL Parser and Transpiler\n* [MagicStack/asyncpg](https://github.com/MagicStack/asyncpg) - A fast PostgreSQL Database Client Library for Python/asyncio.\n* [PyMySQL/PyMySQL](https://github.com/PyMySQL/PyMySQL) - MySQL client library for Python\n* [kennethreitz/records](https://github.com/kennethreitz/records) - SQL for Humans™\n* [tortoise/tortoise-orm](https://github.com/tortoise/tortoise-orm) - Familiar asyncio ORM for python, built with relations in mind\n* [pudo/dataset](https://github.com/pudo/dataset) - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\n* [elastic/elasticsearch-py](https://github.com/elastic/elasticsearch-py) - Official Python client for Elasticsearch\n* [mongodb/mongo-python-driver](https://github.com/mongodb/mongo-python-driver) - PyMongo - the Official MongoDB Python driver\n* [MongoEngine/mongoengine](https://github.com/MongoEngine/mongoengine) - A Python Object-Document-Mapper for working with MongoDB\n* [pallets-eco/flask-sqlalchemy](https://github.com/pallets-eco/flask-sqlalchemy) - Adds SQLAlchemy support to Flask\n* [encode/databases](https://github.com/encode/databases) - Async database support for Python. 🗄 *(archived)*\n* [elastic/elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - High level Python client for Elasticsearch *(archived)*\n* [python-gino/gino](https://github.com/python-gino/gino) - GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.\n\n### Serialization and Formats\n\n* [pydantic/pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints\n* [ijl/orjson](https://github.com/ijl/orjson) - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy\n* [marshmallow-code/marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.\n* [martinblech/xmltodict](https://github.com/martinblech/xmltodict) - Python module that makes working with XML feel like you are working with JSON\n* [python-openxml/python-docx](https://github.com/python-openxml/python-docx) - Create and modify Word documents with Python\n* [euske/pdfminer](https://github.com/euske/pdfminer) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. *(archived)*\n* [mangiucugna/json_repair](https://github.com/mangiucugna/json_repair) - Repair malformed JSON from LLMs, APIs, logs, and user input in Python.\n* [python-jsonschema/jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of the JSON Schema specification for Python\n* [jazzband/tablib](https://github.com/jazzband/tablib) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, \u0026c.\n* [jmcnamara/XlsxWriter](https://github.com/jmcnamara/XlsxWriter) - A Python module for creating Excel XLSX files.\n* [pyeve/cerberus](https://github.com/pyeve/cerberus) - Lightweight, extensible data validation library for Python\n* [lxml/lxml](https://github.com/lxml/lxml) - The lxml XML toolkit for Python\n\n### Caching and Queues\n\n* [celery/celery](https://github.com/celery/celery) - Distributed Task Queue (development branch)\n* [rq/rq](https://github.com/rq/rq) - Simple job queues for Python\n* [hatchet-dev/hatchet](https://github.com/hatchet-dev/hatchet) - 🪓 An orchestration engine for background tasks, AI agents, and durable workflows\n* [robinhood/faust](https://github.com/robinhood/faust) - Python Stream Processing\n* [coleifer/huey](https://github.com/coleifer/huey) - a little task queue for python\n* [dpkp/kafka-python](https://github.com/dpkp/kafka-python) - Python client for Apache Kafka\n* [ag2ai/faststream](https://github.com/ag2ai/faststream) - Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.\n* [Bogdanp/dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.\n* [tschellenbach/Stream-Framework](https://github.com/tschellenbach/Stream-Framework) - Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:\n* [pika/pika](https://github.com/pika/pika) - Pure Python RabbitMQ/AMQP 0-9-1 client library\n* [confluentinc/confluent-kafka-python](https://github.com/confluentinc/confluent-kafka-python) - Confluent's Kafka Python Client\n\n## Machine Learning and AI\n\n### LLM and Inference\n\n* [Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.\n* [langgenius/dify](https://github.com/langgenius/dify) - Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.\n* [langflow-ai/langflow](https://github.com/langflow-ai/langflow) - Langflow is a powerful tool for building and deploying AI-powered agents and workflows.\n* [langchain-ai/langchain](https://github.com/langchain-ai/langchain) - The agent engineering platform.\n* [Panniantong/Agent-Reach](https://github.com/Panniantong/Agent-Reach) - Give your AI agent eyes to see the entire internet. Read \u0026 search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.\n* [bytedance/deer-flow](https://github.com/bytedance/deer-flow) - An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.\n* [unslothai/unsloth](https://github.com/unslothai/unsloth) - Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.\n* [headroomlabs-ai/headroom](https://github.com/headroomlabs-ai/headroom) - Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.\n* [binary-husky/gpt_academic](https://github.com/binary-husky/gpt_academic) - 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮\u0026函数插件，支持Python和C++等项目剖析\u0026自译解功能，PDF/LaTex论文翻译\u0026总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。\n* [openinterpreter/openinterpreter](https://github.com/openinterpreter/openinterpreter) - A coding agent for open models like Kimi K3 and GLM 5.3\n* [xtekky/gpt4free](https://github.com/xtekky/gpt4free) - The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3\n* [mem0ai/mem0](https://github.com/mem0ai/mem0) - The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.\n* [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) - World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.\n* [BerriAI/litellm](https://github.com/BerriAI/litellm) - The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]\n* [MemPalace/mempalace](https://github.com/MemPalace/mempalace) - The best-benchmarked open-source AI memory system. And it's free.\n* [AntonOsika/gpt-engineer](https://github.com/AntonOsika/gpt-engineer) - CLI platform to experiment with codegen. Precursor to: https://lovable.dev *(archived)*\n* [HKUDS/nanobot](https://github.com/HKUDS/nanobot) - Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps\n* [agno-agi/agno](https://github.com/agno-agi/agno) - Build, run, and manage agent platforms.\n* [langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) - Build resilient agents.\n* [AstrBotDevs/AstrBot](https://github.com/AstrBotDevs/AstrBot) - AI Agent Assistant \u0026 development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨\n* [google/langextract](https://github.com/google/langextract) - A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.\n* [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant) - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.\n* [HKUDS/Vibe-Trading](https://github.com/HKUDS/Vibe-Trading) - \"Vibe-Trading: Your Personal Trading Agent\"\n* [onyx-dot-app/onyx](https://github.com/onyx-dot-app/onyx) - Open Source AI Platform - AI Chat with advanced features that works with every LLM\n* [tirth8205/code-review-graph](https://github.com/tirth8205/code-review-graph) - Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.\n* [openai/openai-python](https://github.com/openai/openai-python) - The official Python library for the OpenAI API\n* [ComposioHQ/composio](https://github.com/ComposioHQ/composio) - Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.\n* [langchain-ai/deepagents](https://github.com/langchain-ai/deepagents) - The batteries-included agent harness.\n* [openai/openai-agents-python](https://github.com/openai/openai-agents-python) - A lightweight, powerful framework for multi-agent workflows\n* [assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) - An autonomous agent that conducts deep research on any data using any LLM providers\n* [huggingface/smolagents](https://github.com/huggingface/smolagents) - 🤗 smolagents: a barebones library for agents that think in code.\n* [PrefectHQ/fastmcp](https://github.com/PrefectHQ/fastmcp) - 🚀 The fast, Pythonic way to build MCP servers and clients.\n* [deepset-ai/haystack](https://github.com/deepset-ai/haystack) - Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.\n* [modelcontextprotocol/python-sdk](https://github.com/modelcontextprotocol/python-sdk) - The official Python SDK for Model Context Protocol servers and clients\n* [huggingface/peft](https://github.com/huggingface/peft) - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.\n* [google/adk-python](https://github.com/google/adk-python) - An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.\n* [pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) - How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.\n* [teng-lin/notebooklm-py](https://github.com/teng-lin/notebooklm-py) - Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.\n* [confident-ai/deepeval](https://github.com/confident-ai/deepeval) - The LLM Evaluation Framework\n* [emcie-co/parlant](https://github.com/emcie-co/parlant) - Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.\n* [arc53/DocsGPT](https://github.com/arc53/DocsGPT) - Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.\n* [TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - \u003c⚡️\u003e SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage \u0026 run useful autonomous agents quickly and reliably.\n* [MemoriLabs/Memori](https://github.com/MemoriLabs/Memori) - Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.\n* [cft0808/edict](https://github.com/cft0808/edict) - 🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails\n* [memvid/memvid](https://github.com/memvid/memvid) - Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.\n* [MODSetter/SurfSense](https://github.com/MODSetter/SurfSense) - Air gapped, privacy focused open source NotebookLM alternative. Join our Discord: https://discord.gg/ejRNvftDp9\n* [raga-ai-hub/RagaAI-Catalyst](https://github.com/raga-ai-hub/RagaAI-Catalyst) - Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view\n* [ifixai-ai/iFixAi](https://github.com/ifixai-ai/iFixAi) - Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.\n* [yusufkaraaslan/Skill_Seekers](https://github.com/yusufkaraaslan/Skill_Seekers) - Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection\n* [NVIDIA/TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) - TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.\n* [lsdefine/GenericAgent](https://github.com/lsdefine/GenericAgent) - Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption\n* [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - Open-source, secure environment with real-world tools for enterprise-grade agents.\n* [567-labs/instructor](https://github.com/567-labs/instructor) - structured outputs for llms\n* [microsoft/agent-framework](https://github.com/microsoft/agent-framework) - A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.\n* [xszyou/Fay](https://github.com/xszyou/Fay) - fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的agent框架。\n* [semantica-agi/semantica](https://github.com/semantica-agi/semantica) - Graph-Native Infrastructure for Context and Accountable AI Systems\n* [StarTrail-org/LEANN](https://github.com/StarTrail-org/LEANN) - [MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.\n* [rocketride-org/rocketride-server](https://github.com/rocketride-org/rocketride-server) - High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.\n* [Chainlit/chainlit](https://github.com/Chainlit/chainlit) - Build Conversational AI in minutes ⚡️\n* [dataelement/bisheng](https://github.com/dataelement/bisheng) - BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.\n* [cocoindex-io/cocoindex](https://github.com/cocoindex-io/cocoindex) - Incremental engine for long horizon agents 🌟 Star if you like it!\n* [aden-hive/hive](https://github.com/aden-hive/hive) - Multi-Agent Harness for Production AI\n* [ValueCell-ai/valuecell](https://github.com/ValueCell-ai/valuecell) - ValueCell is a community-driven, multi-agent platform for financial applications.\n* [mcp-use/mcp-use](https://github.com/mcp-use/mcp-use) - The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude \u0026 MCP Servers for AI Agents.\n* [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python) - Python bindings for llama.cpp\n* [ollama/ollama-python](https://github.com/ollama/ollama-python) - Ollama Python library\n* [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) - Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.\n* [intel/ipex-llm](https://github.com/intel/ipex-llm) - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc. *(archived)*\n* [lastmile-ai/mcp-agent](https://github.com/lastmile-ai/mcp-agent) - Build effective agents using Model Context Protocol and simple workflow patterns\n* [strands-agents/harness-sdk](https://github.com/strands-agents/harness-sdk) - Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python \u0026 TypeScript - any model, any cloud.\n* [zilliztech/deep-searcher](https://github.com/zilliztech/deep-searcher) - Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.\n* [SciPhi-AI/R2R](https://github.com/SciPhi-AI/R2R) - SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.\n* [Upsonic/Upsonic](https://github.com/Upsonic/Upsonic) - Build autonomous AI agents in Python.\n* [2FastLabs/agent-squad](https://github.com/2FastLabs/agent-squad) - Flexible and powerful framework for managing multiple AI agents and handling complex conversations\n* [plastic-labs/honcho](https://github.com/plastic-labs/honcho) - Memory library for building stateful agents\n* [NVIDIA-NeMo/Guardrails](https://github.com/NVIDIA-NeMo/Guardrails) - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.\n* [Andyyyy64/whichllm](https://github.com/Andyyyy64/whichllm) - Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.\n* [julep-ai/julep](https://github.com/julep-ai/julep) - Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.\n* [souzatharsis/podcastfy](https://github.com/souzatharsis/podcastfy) - An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI\n* [crestalnetwork/intentkit](https://github.com/crestalnetwork/intentkit) - IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.\n* [genkit-ai/genkit](https://github.com/genkit-ai/genkit) - Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google\n* [microsoft/agent-governance-toolkit](https://github.com/microsoft/agent-governance-toolkit) - AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.\n* [meta-pytorch/gpt-fast](https://github.com/meta-pytorch/gpt-fast) - Simple and efficient pytorch-native transformer text generation in \u003c1000 LOC of python.\n* [nlweb-ai/NLWeb](https://github.com/nlweb-ai/NLWeb) - Main reference implementation for NLWeb, implemented in Python.\n* [PrefectHQ/marvin](https://github.com/PrefectHQ/marvin) - an ambient intelligence library\n* [Mai-with-u/MaiBot](https://github.com/Mai-with-u/MaiBot) - MaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not pursue perfection, nor does she seek efficiency; instead, she values warmth, authenticity, and genuine connection.\n* [AgentOps-AI/agentops](https://github.com/AgentOps-AI/agentops) - Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI\n* [dograh-hq/dograh](https://github.com/dograh-hq/dograh) - Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.\n* [serge-chat/serge](https://github.com/serge-chat/serge) - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API. *(archived)*\n* [volcengine/MineContext](https://github.com/volcengine/MineContext) - MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）\n* [superduper-io/superduper](https://github.com/superduper-io/superduper) - Superduper: End-to-end framework for building custom AI applications and agents.\n* [vitali87/code-graph-rag](https://github.com/vitali87/code-graph-rag) - The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs\n* [dsdanielpark/Bard-API](https://github.com/dsdanielpark/Bard-API) - The unofficial python package that returns response of Google Bard through cookie value. *(archived)*\n* [Marker-Inc-Korea/AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG) - AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.\n* [Kiln-AI/Kiln](https://github.com/Kiln-AI/Kiln) - Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.\n* [ag2ai/ag2](https://github.com/ag2ai/ag2) - AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x\n* [ruc-datalab/DeepAnalyze](https://github.com/ruc-datalab/DeepAnalyze) - DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！\n* [TencentCloudADP/youtu-agent](https://github.com/TencentCloudADP/youtu-agent) - A simple yet powerful agent framework that delivers with open-source models\n* [FlowElement-xinliuyuansu/m_flow](https://github.com/FlowElement-xinliuyuansu/m_flow) - A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.\n* [truefoundry/cognita](https://github.com/truefoundry/cognita) - RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry *(archived)*\n* [rawandahmad698/PyChatGPT](https://github.com/rawandahmad698/PyChatGPT) - ⚡️ Python client for the ChatGPT API with, conversation tracking, proxy support and more.\n* [llm-workflow-engine/llm-workflow-engine](https://github.com/llm-workflow-engine/llm-workflow-engine) - Power CLI and Workflow manager for LLMs (core package)\n* [zhaoyingjun/chatbot](https://github.com/zhaoyingjun/chatbot) - Chatbot继续沿着LLM前进，近期更新小参数量SLM的和训练脚本，支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。\n* [minimaxir/simpleaichat](https://github.com/minimaxir/simpleaichat) - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.\n* [ading2210/poe-api](https://github.com/ading2210/poe-api) - [UNMAINTAINED] A reverse engineered Python API wrapper for Quora's Poe, which provides free access to ChatGPT, GPT-4, and Claude. *(archived)*\n* [approximatelabs/sketch](https://github.com/approximatelabs/sketch) - AI code-writing assistant that understands data content\n* [YiVal/YiVal](https://github.com/YiVal/YiVal) - Your Automatic Prompt Engineering Assistant for GenAI Applications\n\n### Machine Learning Frameworks\n\n* [huggingface/transformers](https://github.com/huggingface/transformers) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.\n* [pytorch/pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration\n* [scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn) - scikit-learn: machine learning in Python\n* [keras-team/keras](https://github.com/keras-team/keras) - Deep Learning for humans\n* [jax-ml/jax](https://github.com/jax-ml/jax) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more\n* [Lightning-AI/pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.\n* [recommenders-team/recommenders](https://github.com/recommenders-team/recommenders) - Best Practices on Recommendation Systems\n* [optuna/optuna](https://github.com/optuna/optuna) - A hyperparameter optimization framework\n* [microsoft/nni](https://github.com/microsoft/nni) - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. *(archived)*\n* [dmlc/dgl](https://github.com/dmlc/dgl) - Python package built to ease deep learning on graph, on top of existing DL frameworks.\n* [unifyai/ivy](https://github.com/unifyai/ivy) - Convert Machine Learning Code Between Frameworks *(archived)*\n* [DLR-RM/stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.\n* [ludwig-ai/ludwig](https://github.com/ludwig-ai/ludwig) - Low-code framework for building custom LLMs, neural networks, and other AI models\n* [autogluon/autogluon](https://github.com/autogluon/autogluon) - Fast and Accurate ML in 3 Lines of Code\n* [vwxyzjn/cleanrl](https://github.com/vwxyzjn/cleanrl) - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)\n* [EpistasisLab/tpot](https://github.com/EpistasisLab/tpot) - A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.\n* [OpenMined/PySyft](https://github.com/OpenMined/PySyft) - Perform data science on data that remains in someone else's server\n* [yzhao062/pyod](https://github.com/yzhao062/pyod) - A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.\n* [Theano/Theano](https://github.com/Theano/Theano) - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor\n* [pycaret/pycaret](https://github.com/pycaret/pycaret) - Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.\n* [Lightricks/LTX-2](https://github.com/Lightricks/LTX-2) - Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.\n* [unit8co/darts](https://github.com/unit8co/darts) - A python library for user-friendly forecasting and anomaly detection on time series.\n* [keras-team/autokeras](https://github.com/keras-team/autokeras) - AutoML library for deep learning\n* [modelscope/modelscope](https://github.com/modelscope/modelscope) - ModelScope: bring the notion of Model-as-a-Service to life.\n* [catboost/catboost](https://github.com/catboost/catboost) - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.\n* [pyro-ppl/pyro](https://github.com/pyro-ppl/pyro) - Deep universal probabilistic programming with Python and PyTorch\n* [bentoml/BentoML](https://github.com/bentoml/BentoML) - The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!\n* [hyperopt/hyperopt](https://github.com/hyperopt/hyperopt) - Distributed Asynchronous Hyperparameter Optimization in Python\n* [HIPS/autograd](https://github.com/HIPS/autograd) - Efficiently computes derivatives of NumPy code.\n* [tensorlayer/TensorLayer](https://github.com/tensorlayer/TensorLayer) - Deep Learning and Reinforcement Learning Library for Scientists and Engineers\n* [flwrlabs/flower](https://github.com/flwrlabs/flower) - Flower: A Friendly Federated AI Framework\n* [scikit-learn-contrib/imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) - A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning\n* [SerpentAI/SerpentAI](https://github.com/SerpentAI/SerpentAI) - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own! *(archived)*\n* [NicolasHug/Surprise](https://github.com/NicolasHug/Surprise) - A Python scikit for building and analyzing recommender systems\n* [aimhubio/aim](https://github.com/aimhubio/aim) - Aim 💫 — An easy-to-use \u0026 supercharged open-source experiment tracker.\n* [online-ml/river](https://github.com/online-ml/river) - 🌊 Online machine learning in Python\n* [snorkel-team/snorkel](https://github.com/snorkel-team/snorkel) - A system for quickly generating training data with weak supervision\n* [chainer/chainer](https://github.com/chainer/chainer) - A flexible framework of neural networks for deep learning\n* [awslabs/gluonts](https://github.com/awslabs/gluonts) - Probabilistic time series modeling in Python\n* [rasbt/mlxtend](https://github.com/rasbt/mlxtend) - A library of extension and helper modules for Python's data analysis and machine learning libraries.\n* [lyst/lightfm](https://github.com/lyst/lightfm) - A Python implementation of LightFM, a hybrid recommendation algorithm.\n* [sktime/pytorch-forecasting](https://github.com/sktime/pytorch-forecasting) - Time series forecasting with PyTorch\n* [hudson-and-thames/mlfinlab](https://github.com/hudson-and-thames/mlfinlab) - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.\n* [Nixtla/statsforecast](https://github.com/Nixtla/statsforecast) - Lightning ⚡️ fast forecasting with statistical and econometric models.\n* [pytorch/ignite](https://github.com/pytorch/ignite) - High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.\n* [facebookincubator/AITemplate](https://github.com/facebookincubator/AITemplate) - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.\n* [huggingface/autotrain-advanced](https://github.com/huggingface/autotrain-advanced) - 🤗 AutoTrain Advanced\n* [IDSIA/sacred](https://github.com/IDSIA/sacred) - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\n* [NervanaSystems/neon](https://github.com/NervanaSystems/neon) - Intel® Nervana™ reference deep learning framework committed to best performance on all hardware *(archived)*\n* [Lasagne/Lasagne](https://github.com/Lasagne/Lasagne) - Lightweight library to build and train neural networks in Theano\n* [yahoo/TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark) - TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.\n* [PetarV-/GAT](https://github.com/PetarV-/GAT) - Graph Attention Networks (https://arxiv.org/abs/1710.10903)\n* [jmschrei/pomegranate](https://github.com/jmschrei/pomegranate) - Fast, flexible and easy to use probabilistic modelling in Python.\n* [tensorflow/hub](https://github.com/tensorflow/hub) - A library for transfer learning by reusing parts of TensorFlow models.\n* [hmmlearn/hmmlearn](https://github.com/hmmlearn/hmmlearn) - Hidden Markov Models in Python, with scikit-learn like API\n* [pgmpy/pgmpy](https://github.com/pgmpy/pgmpy) - Python Toolkit for Causal and Probabilistic Reasoning\n* [Jittor/jittor](https://github.com/Jittor/jittor) - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.\n* [tslearn-team/tslearn](https://github.com/tslearn-team/tslearn) - The machine learning toolkit for time series analysis in Python\n* [maciejkula/spotlight](https://github.com/maciejkula/spotlight) - Deep recommender models using PyTorch.\n* [bethgelab/foolbox](https://github.com/bethgelab/foolbox) - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX\n* [Trusted-AI/AIF360](https://github.com/Trusted-AI/AIF360) - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.\n* [modAL-python/modAL](https://github.com/modAL-python/modAL) - A modular active learning framework for Python\n* [google/tangent](https://github.com/google/tangent) - Source-to-Source Debuggable Derivatives in Pure Python *(archived)*\n* [benelot/pybullet-gym](https://github.com/benelot/pybullet-gym) - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.\n* [vpj/python_autocomplete](https://github.com/vpj/python_autocomplete) - A simple neural network for python autocompletion\n\n### Computer Vision\n\n* [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking\n* [ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) - The world's simplest facial recognition api for Python and the command line\n* [roboflow/supervision](https://github.com/roboflow/supervision) - We write your reusable computer vision tools. 💜\n* [JaidedAI/EasyOCR](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.\n* [serengil/deepface](https://github.com/serengil/deepface) - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python\n* [lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR) - pix2tex: Using a ViT to convert images of equations into LaTeX code.\n* [wkentaro/labelme](https://github.com/wkentaro/labelme) - Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.\n* [albumentations-team/albumentations](https://github.com/albumentations-team/albumentations) - Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 *(archived)*\n* [kornia/kornia](https://github.com/kornia/kornia) - 🐍 Geometric Computer Vision Library for Spatial AI\n* [voxel51/fiftyone](https://github.com/voxel51/fiftyone) - Refine high-quality datasets and visual AI models\n* [bytedance/Dolphin](https://github.com/bytedance/Dolphin) - The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.\n* [OlafenwaMoses/ImageAI](https://github.com/OlafenwaMoses/ImageAI) - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities\n* [mikel-brostrom/boxmot](https://github.com/mikel-brostrom/boxmot) - BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes\n* [rbgirshick/py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn) - Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version\n* [1adrianb/face-alignment](https://github.com/1adrianb/face-alignment) - :fire: 2D and 3D Face alignment library build using pytorch\n* [madmaze/pytesseract](https://github.com/madmaze/pytesseract) - A Python wrapper for Google Tesseract\n* [idealo/imagededup](https://github.com/idealo/imagededup) - 😎 Finding duplicate images made easy!\n* [cchen156/Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark) - Learning to See in the Dark. CVPR 2018\n* [obss/sahi](https://github.com/obss/sahi) - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots\n* [karpathy/neuraltalk](https://github.com/karpathy/neuraltalk) - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.\n* [opencv/opencv-python](https://github.com/opencv/opencv-python) - Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.\n* [zuruoke/watermark-removal](https://github.com/zuruoke/watermark-removal) - a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image\n* [mdbloice/Augmentor](https://github.com/mdbloice/Augmentor) - Image augmentation library in Python for machine learning.\n* [yanx27/Pointnet_Pointnet2_pytorch](https://github.com/yanx27/Pointnet_Pointnet2_pytorch) - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.\n* [kenshohara/3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch) - 3D ResNets for Action Recognition (CVPR 2018)\n* [lightly-ai/lightly](https://github.com/lightly-ai/lightly) - A python library for self-supervised learning on images.\n* [mapillary/OpenSfM](https://github.com/mapillary/OpenSfM) - Open source Structure-from-Motion pipeline\n* [cleardusk/3DDFA](https://github.com/cleardusk/3DDFA) - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.\n* [podgorskiy/ALAE](https://github.com/podgorskiy/ALAE) - [CVPR2020] Adversarial Latent Autoencoders\n* [nickliqian/cnn_captcha](https://github.com/nickliqian/cnn_captcha) - use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。\n* [tryolabs/norfair](https://github.com/tryolabs/norfair) - Lightweight Python library for adding real-time multi-object tracking to any detector.\n* [andersbll/neural_artistic_style](https://github.com/andersbll/neural_artistic_style) - Neural Artistic Style in Python\n* [ITCoders/Human-detection-and-Tracking](https://github.com/ITCoders/Human-detection-and-Tracking) - Human-detection-and-Tracking\n\n### Natural Language Processing\n\n* [fighting41love/funNLP](https://github.com/fighting41love/funNLP) - 中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成\u0026摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报告、自然语言生成、NLU太难了系列、自动对联数据及机器人、用户名黑名单列表、罪名法务名词及分类模型、微信公众号语料、cs224n深度学习自然语言处理课程、中文手写汉字识别、中文自然语言处理 语料/数据集、变量命名神器、分词语料库+代码、任务型对话英文数据集、ASR 语音数据集 + 基于深度学习的中文语音识别系统、笑声检测器、Microsoft多语言数字/单位/如日期时间识别包、中华新华字典数据库及api(包括常用歇后语、成语、词语和汉字)、文档图谱自动生成、SpaCy 中文模型、Common Voice语音识别数据集新版、神经网络关系抽取、基于bert的命名实体识别、关键词(Keyphrase)抽取包pke、基于医疗领域知识图谱的问答系统、基于依存句法与语义角色标注的事件三元组抽取、依存句法分析4万句高质量标注数据、cnocr：用来做中文OCR的Python3包、中文人物关系知识图谱项目、中文nlp竞赛项目及代码汇总、中文字符数据、speech-aligner: 从“人声语音”及其“语言文本”产生音素级别时间对齐标注的工具、AmpliGraph: 知识图谱表示学习(Python)库：知识图谱概念链接预测、Scattertext 文本可视化(python)、语言/知识表示工具：BERT \u0026 ERNIE、中文对比英文自然语言处理NLP的区别综述、Synonyms中文近义词工具包、HarvestText领域自适应文本挖掘工具（新词发现-情感分析-实体链接等）、word2word：(Python)方便易用的多语言词-词对集：62种语言/3,564个多语言对、语音识别语料生成工具：从具有音频/字幕的在线视频创建自动语音识别(ASR)语料库、构建医疗实体识别的模型（包含词典和语料标注）、单文档非监督的关键词抽取、Kashgari中使用gpt-2语言模型、开源的金融投资数据提取工具、文本自动摘要库TextTeaser: 仅支持英文、人民日报语料处理工具集、一些关于自然语言的基本模型、基于14W歌曲知识库的问答尝试--功能包括歌词接龙and已知歌词找歌曲以及歌曲歌手歌词三角关系的问答、基于Siamese bilstm模型的相似句子判定模型并提供训练数据集和测试数据集、用Transformer编解码模型实现的根据Hacker News文章标题自动生成评论、用BERT进行序列标记和文本分类的模板代码、LitBank：NLP数据集——支持自然语言处理和计算人文学科任务的100部带标记英文小说语料、百度开源的基准信息抽取系统、虚假新闻数据集、Facebook: LAMA语言模型分析，提供Transformer-XL/BERT/ELMo/GPT预训练语言模型的统一访问接口、CommonsenseQA：面向常识的英文QA挑战、中文知识图谱资料、数据及工具、各大公司内部里大牛分享的技术文档 PDF 或者 PPT、自然语言生成SQL语句（英文）、中文NLP数据增强（EDA）工具、英文NLP数据增强工具 、基于医药知识图谱的智能问答系统、京东商品知识图谱、基于mongodb存储的军事领域知识图谱问答项目、基于远监督的中文关系抽取、语音情感分析、中文ULMFiT-情感分析-文本分类-语料及模型、一个拍照做题程序、世界各国大规模人名库、一个利用有趣中文语料库 qingyun 训练出来的中文聊天机器人、中文聊天机器人seqGAN、省市区镇行政区划数据带拼音标注、教育行业新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增广库、中文全词覆盖BERT及两份阅读理解数据、ConvLab：开源多域端到端对话系统平台、中文自然语言处理数据集、基于最新版本rasa搭建的对话系统、基于TensorFlow和BERT的管道式实体及关系抽取、一个小型的证券知识图谱/知识库、复盘所有NLP比赛的TOP方案、OpenCLaP：多领域开源中文预训练语言模型仓库、UER：基于不同语料+编码器+目标任务的中文预训练模型仓库、中文自然语言处理向量合集、基于金融-司法领域(兼有闲聊性质)的聊天机器人、g2pC：基于上下文的汉语读音自动标记模块、Zincbase 知识图谱构建工具包、诗歌质量评价/细粒度情感诗歌语料库、快速转化「中文数字」和「阿拉伯数字」、百度知道问答语料库、基于知识图谱的问答系统、jieba_fast 加速版的jieba、正则表达式教程、中文阅读理解数据集、基于BERT等最新语言模型的抽取式摘要提取、Python利用深度学习进行文本摘要的综合指南、知识图谱深度学习相关资料整理、维基大规模平行文本语料、StanfordNLP 0.2.0：纯Python版自然语言处理包、NeuralNLP-NeuralClassifier：腾讯开源深度学习文本分类工具、端到端的封闭域对话系统、中文命名实体识别：NeuroNER vs. BertNER、新闻事件线索抽取、2019年百度的三元组抽取比赛：“科学空间队”源码、基于依存句法的开放域文本知识三元组抽取和知识库构建、中文的GPT2训练代码、ML-NLP - 机器学习(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Facebook的跨语言预训练语言模型、用基于BERT的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取、中文自然语言处理相关的开放任务-数据集-当前最佳结果、CoupletAI - 基于CNN+Bi-LSTM+Attention 的自动对对联系统、抽象知识图谱、MiningZhiDaoQACorpus - 580万百度知道问答数据挖掘项目、brat rapid annotation tool: 序列标注工具、大规模中文知识图谱数据：1.4亿实体、数据增强在机器翻译及其他nlp任务中的应用及效果、allennlp阅读理解:支持多种数据和模型、PDF表格数据提取工具 、 Graphbrain：AI开源软件库和科研工具，目的是促进自动意义提取和文本理解以及知识的探索和推断、简历自动筛选系统、基于命名实体识别的简历自动摘要、中文语言理解测评基准，包括代表性的数据集\u0026基准模型\u0026语料库\u0026排行榜、树洞 OCR 文字识别 、从包含表格的扫描图片中识别表格和文字、语声迁移、Python口语自然语言处理工具集(英文)、 similarity：相似度计算工具包，java编写、海量","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/uhub%2Fawesome-python/projects"}