An opinionated list of Python frameworks, libraries, tools, and resources [← 返回排行榜](/content/index.html) # vinta/awesome-python 302.9k 星标 28.1k 分支 302.9k 关注者 Python 语言 ## 📖 项目介绍 # [Awesome Python](https://awesome-python.com/) An opinionated guide to the best Python frameworks, libraries, tools, and resources. **Visit the [website](https://awesome-python.com/) to search and filter projects more easily.** ## **Sponsors** \> The **#10 most-starred repo on GitHub**. Put your product in front of Python developers. 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Computing](/content/projects/vinta-awesome-python.html#quantum-computing/index.html) **Developer Tools** \- [Algorithms and Design Patterns](/content/projects/vinta-awesome-python.html#algorithms-and-design-patterns/index.html) \- [Interactive Interpreter](/content/projects/vinta-awesome-python.html#interactive-interpreter/index.html) \- [Code Analysis](/content/projects/vinta-awesome-python.html#code-analysis/index.html) \- [Testing](/content/projects/vinta-awesome-python.html#testing/index.html) \- [Debugging Tools](/content/projects/vinta-awesome-python.html#debugging-tools/index.html) \- [Build Tools](/content/projects/vinta-awesome-python.html#build-tools/index.html) \- [Documentation](/content/projects/vinta-awesome-python.html#documentation/index.html) **DevOps** \- [DevOps Tools](/content/projects/vinta-awesome-python.html#devops-tools/index.html) \- [Distributed Computing](/content/projects/vinta-awesome-python.html#distributed-computing/index.html) \- [Task 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Processing](/content/projects/vinta-awesome-python.html#file-format-processing/index.html) \- [File Manipulation](/content/projects/vinta-awesome-python.html#file-manipulation/index.html) **Media** \- [Image Processing](/content/projects/vinta-awesome-python.html#image-processing/index.html) \- [Audio & Video Processing](/content/projects/vinta-awesome-python.html#audio--video-processing/index.html) \- [Game Development](/content/projects/vinta-awesome-python.html#game-development/index.html) **Python Language** \- [Implementations](/content/projects/vinta-awesome-python.html#implementations/index.html) \- [Built-in Classes Enhancement](/content/projects/vinta-awesome-python.html#built-in-classes-enhancement/index.html) \- [Functional Programming](/content/projects/vinta-awesome-python.html#functional-programming/index.html) \- [Asynchronous Programming](/content/projects/vinta-awesome-python.html#asynchronous-programming/index.html) \- [Date and Time](/content/projects/vinta-awesome-python.html#date-and-time/index.html) **Python Toolchain** \- [Environment Management](/content/projects/vinta-awesome-python.html#environment-management/index.html) \- [Package Management](/content/projects/vinta-awesome-python.html#package-management/index.html) \- [Package Repositories](/content/projects/vinta-awesome-python.html#package-repositories/index.html) \- [Distribution](/content/projects/vinta-awesome-python.html#distribution/index.html) \- [Configuration Files](/content/projects/vinta-awesome-python.html#configuration-files/index.html) **Security** \- [Cryptography](/content/projects/vinta-awesome-python.html#cryptography/index.html) \- [Penetration Testing](/content/projects/vinta-awesome-python.html#penetration-testing/index.html) \- [Web Security](/content/projects/vinta-awesome-python.html#web-security/index.html) **Other** \- [Hardware](/content/projects/vinta-awesome-python.html#hardware/index.html) \- [Microsoft Windows](/content/projects/vinta-awesome-python.html#microsoft-windows/index.html) \- [Miscellaneous](/content/projects/vinta-awesome-python.html#miscellaneous/index.html) ## Projects **AI & ML** ### AI and Agents \_Libraries for building AI applications, LLM integrations, and autonomous agents.\_ \- Agent Skills \- [django-ai-plugins](https://github.com/vintasoftware/django-ai-plugins) \- Django backend agent skills for Django, DRF, Celery, and Django-specific code review. \- [graphify](https://github.com/safishamsi/graphify) \- Turn any folder of code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph. \- [nuwa-skill](https://github.com/alchaincyf/nuwa-skill/blob/main/README_EN.md) \- Nuwa distills the thinking of anyone — let Musk, Naval, Munger, and Feynman work for you. \- [sentry-skills](https://github.com/getsentry/skills) \- Python-focused engineering skills for code review, debugging, and backend workflows. \- [trailofbits-skills](https://github.com/trailofbits/skills) \- Python-friendly security skills for auditing, testing, and safer backend development. \- Orchestration \- [ag2](https://github.com/ag2ai/ag2) \- An open-source AgentOS for multi-agent orchestration and building agentic AI systems. \- [autogen](https://github.com/microsoft/autogen) \- A programming framework for building agentic AI applications. \- [bernstein](https://github.com/sipyourdrink-ltd/bernstein) \- A deterministic Python orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more) with parallel git worktrees and an HMAC-signed audit chain. \- [bindu](https://github.com/getbindu/Bindu) \- A framework that wraps any agent handler with DID-based cryptographic identity, A2A JSON-RPC over HTTP, OAuth2 auth, x402 (USDC) payments, and a built-in operator inbox. \- [bub](https://github.com/bubbuild/bub) \- A lightweight, hook-first Python framework for channel-native agents that live alongside people. \- [crewai](https://github.com/crewAIInc/crewAI) \- A framework for orchestrating role-playing autonomous AI agents for collaborative task solving. \- [dspy](https://github.com/stanfordnlp/dspy) \- A framework for programming, not prompting, language models. \- [hermes-agent](https://github.com/nousresearch/hermes-agent) \- An adaptive AI agent framework that grows with you. \- [langchain](https://github.com/langchain-ai/langchain) \- Building applications with LLMs through composability. \- [langgraph](https://github.com/langchain-ai/langgraph) \- Low-level orchestration framework for building stateful, long-running LLM agents. \- [openai-agents](https://github.com/openai/openai-agents-python) \- OpenAI's framework for building and managing AI agents. \- [OpenChronicle](https://github.com/Einsia/OpenChronicle) \- Open-source, local-first memory for any tool-capable LLM agent. \- [promptise](https://github.com/promptise-com/foundry) \- A framework for building end-to-end production-ready agentic systems, scalable & secure MCP's and autonomous agents. \- [pydantic-ai](https://github.com/pydantic/pydantic-ai) \- A Python agent framework for building generative AI applications with structured schemas. \- [TradingAgents](https://github.com/TauricResearch/TradingAgents) \- A multi-agents LLM financial trading framework. \- Data Layer \- [instructor](https://github.com/567-labs/instructor) \- A library for extracting structured data from LLMs, powered by Pydantic. \- [llama-index](https://github.com/run-llama/llama_index) \- A data framework for your LLM application. \- [mem0](https://github.com/mem0ai/mem0) \- An intelligent memory layer for AI agents enabling personalized interactions. \- [outlines](https://github.com/dottxt-ai/outlines) \- Structured text generation for LLMs with JSON schema, regex, and grammar-constrained decoding. \- Pre-trained Models and Inference \- [diffusers](https://github.com/huggingface/diffusers) \- A library that provides pre-trained diffusion models for generating and editing images, audio, and video. \- [mlx-lm](https://github.com/ml-explore/mlx-lm) \- Run and fine-tune large language models on Apple Silicon with MLX. \- [sglang](https://github.com/sgl-project/sglang) \- A high-performance serving framework for large language models and multimodal models. \- [transformers](https://github.com/huggingface/transformers) \- A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks. \- [unsloth](https://github.com/unslothai/unsloth) \- A library for faster LLM fine-tuning and training with reduced memory usage. \- [vllm](https://github.com/vllm-project/vllm) \- A high-throughput and memory-efficient inference and serving engine for LLMs. \- Speech \- [openai-whisper](https://github.com/openai/whisper) \- A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data. \- [funasr](https://github.com/modelscope/FunASR) \- Industrial-grade speech recognition toolkit with 170x realtime speed, 50+ languages, speaker diarization, and emotion detection. \- [vibevoice](https://github.com/microsoft/VibeVoice) \- A family of open-source voice AI models from Microsoft for text-to-speech and long-form speech recognition. \- [voxcpm](https://github.com/OpenBMB/VoxCPM) \- A tokenizer-free text-to-speech foundation model for multilingual speech generation and voice cloning. ### Deep Learning \_Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning).\_ \- [jax](https://github.com/jax-ml/jax) \- A library for high-performance numerical computing with automatic differentiation and JIT compilation. \- [keras](https://github.com/keras-team/keras) \- A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends. \- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) \- Deep learning framework to train, deploy, and ship AI products Lightning fast. \- [pytorch](https://github.com/pytorch/pytorch) \- Tensors and Dynamic neural networks in Python with strong GPU acceleration. \- [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) \- PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms. \- [tensorflow](https://github.com/tensorflow/tensorflow) \- The most popular Deep Learning framework created by Google. ### Machine Learning \_Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).\_ \- [catboost](https://github.com/catboost/catboost) \- A fast, scalable, high performance gradient boosting on decision trees library. \- [feature\_engine](https://github.com/feature-engine/feature_engine) \- sklearn compatible API with the widest toolset for feature engineering and selection. \- [h2o](https://github.com/h2oai/h2o-3) \- Open Source Fast Scalable Machine Learning Platform. \- [lightgbm](https://github.com/lightgbm-org/LightGBM) \- A fast, distributed, high performance gradient boosting framework. \- [mindsdb](https://github.com/mindsdb/minds-platform) \- MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. \- [pgmpy](https://github.com/pgmpy/pgmpy) \- A Python library for probabilistic graphical models and Bayesian networks. \- [scikit-learn](https://github.com/scikit-learn/scikit-learn) \- The most popular Python library for Machine Learning with extensive documentation and community support. \- \- [scikit-lego](https://github.com/koaning/scikit-lego) \- A collection of lego bricks for scikit-learn pipelines. \- [spark.ml](https://github.com/apache/spark) \- [Apache Spark](https://spark.apache.org/)'s scalable [Machine Learning library](https://spark.apache.org/docs/latest/ml-guide.html) for distributed computing. \- [TabGAN](https://github.com/Diyago/Tabular-data-generation) \- Synthetic tabular data generation using GANs, Diffusion Models, and LLMs. \- [timesfm](https://github.com/google-research/timesfm) \- A pretrained foundation model from Google Research for time-series forecasting. \- [xgboost](https://github.com/dmlc/xgboost) \- A scalable, portable, and distributed gradient boosting library. ### Natural Language Processing \_Libraries for working with human languages.\_ \- General \- [gensim](https://github.com/piskvorky/gensim) \- Topic Modeling for Humans. \- [nltk](https://github.com/nltk/nltk) \- A leading platform for building Python programs to work with human language data. \- [spacy](https://github.com/explosion/spaCy) \- A library for industrial-strength natural language processing in Python and Cython. \- [stanza](https://github.com/stanfordnlp/stanza) \- The Stanford NLP Group's official Python library, supporting 60+ languages. \- Chinese \- [funnlp](https://github.com/fighting41love/funNLP) \- A collection of tools and datasets for Chinese NLP. \- [jieba](https://github.com/fxsjy/jieba) \- The most popular Chinese text segmentation library. ### Computer Vision \_Libraries for Computer Vision.\_ \- [easyocr](https://github.com/JaidedAI/EasyOCR) \- Ready-to-use OCR with 40+ languages supported. \- [kornia](https://github.com/kornia/kornia/) \- Open Source Differentiable Computer Vision Library for PyTorch. \- [opencv](https://github.com/opencv/opencv-python) \- Open Source Computer Vision Library. \- [pytesseract](https://github.com/madmaze/pytesseract) \- A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr). \- [ultralytics](https://github.com/ultralytics/ultralytics) \- Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed. ### Recommender Systems \_Libraries for building recommender systems.\_ \- [annoy](https://github.com/spotify/annoy) \- Approximate Nearest Neighbors in C++/Python optimized for memory usage. \- [implicit](https://github.com/benfred/implicit) \- A fast Python implementation of collaborative filtering for implicit datasets. \- [scikit-surprise](https://github.com/NicolasHug/Surprise) \- A scikit for building and analyzing recommender systems. **Web Development** ### Web Frameworks \_Traditional full stack web frameworks. Also see [Web APIs](/content/projects/vinta-awesome-python.html#web-apis/index.html).\_ \- Synchronous \- [bottle](https://github.com/bottlepy/bottle) \- A fast and simple micro-framework distributed as a single file with no dependencies. \- [django](https://github.com/django/django) \- The most popular web framework in Python. \- [awesome-django](https://github.com/wsvincent/awesome-django) \- [flask](https://github.com/pallets/flask) \- A microframework for Python. \- [awesome-flask](https://github.com/humiaozuzu/awesome-flask) \- [pyramid](https://github.com/Pylons/pyramid) \- A small, fast, down-to-earth, open source Python web framework. \- [awesome-pyramid](https://github.com/uralbash/awesome-pyramid) \- [fasthtml](https://github.com/AnswerDotAI/fasthtml) \- The fastest way to create an HTML app. \- [awesome-fasthtml](https://github.com/amosgyamfi/awesome-fasthtml) \- [masonite](https://github.com/MasoniteFramework/masonite) \- The modern and developer centric Python web framework. \- Asynchronous \- [litestar](https://github.com/litestar-org/litestar) \- Production-ready, capable and extensible ASGI Web framework. \- [microdot](https://github.com/miguelgrinberg/microdot) \- The impossibly small web framework for Python and MicroPython. \- [reflex](https://github.com/reflex-dev/reflex) \- A framework for building reactive, full-stack web applications entirely with Python. \- [robyn](https://github.com/sparckles/Robyn) \- A high-performance async Python web framework with a Rust runtime. \- [starlette](https://github.com/Kludex/starlette) \- A lightweight ASGI framework and toolkit for building high-performance async services. \- [tornado](https://github.com/tornadoweb/tornado) \- A web framework and asynchronous networking library. ### Web APIs \_Libraries for building RESTful and GraphQL APIs.\_ \- Django \- [django-modern-rest](https://github.com/wemake-services/django-modern-rest) \- Modern REST with speed, types, async, `msgspec`, `pydantic` and other goodies! \- [django-ninja](https://github.com/vitalik/django-ninja) \- Fast, Django REST framework based on type hints and Pydantic. \- [django-rest-framework](https://github.com/encode/django-rest-framework) \- A powerful and flexible toolkit to build web APIs. \- [strawberry-django](https://github.com/strawberry-graphql/strawberry-django) \- Strawberry GraphQL integration with Django. \- Flask \- [apiflask](https://github.com/apiflask/apiflask) \- A lightweight Python web API framework based on Flask and Marshmallow. \- Framework Agnostic \- [connexion](https://github.com/spec-first/connexion) \- A spec-first framework that automatically handles requests based on your OpenAPI specification. \- [falcon](https://github.com/falconry/falcon) \- A high-performance framework for building cloud APIs and web app backends. \- [fastapi](https://github.com/fastapi/fastapi) \- A modern, fast, web framework for building APIs with standard Python type hints. \- [sanic](https://github.com/sanic-org/sanic) \- A Python web server and web framework that's written to go fast. \- [strawberry](https://github.com/strawberry-graphql/strawberry) \- A GraphQL library that leverages Python type annotations for schema definition. \- [webargs](https://github.com/marshmallow-code/webargs) \- A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks. ### Web Servers \_ASGI and WSGI compatible web servers.\_ \- ASGI \- [daphne](https://github.com/django/daphne) \- An HTTP, HTTP/2 and WebSocket protocol server for ASGI and ASGI-HTTP. \- [granian](https://github.com/emmett-framework/granian) \- A Rust HTTP server for Python applications built on top of Hyper and Tokio, supporting WSGI/ASGI/RSGI. \- [hypercorn](https://github.com/pgjones/hypercorn) \- An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn. \- [uvicorn](https://github.com/Kludex/uvicorn) \- A lightning-fast ASGI server implementation, using uvloop and httptools. \- WSGI \- [gunicorn](https://github.com/benoitc/gunicorn) \- Pre-forked, ported from Ruby's Unicorn project. \- [uwsgi](https://github.com/unbit/uwsgi) \- A project aims at developing a full stack for building hosting services, written in C. \- [waitress](https://github.com/Pylons/waitress) \- Multi-threaded, powers Pyramid. \- RPC \- [grpcio](https://github.com/grpc/grpc) \- HTTP/2-based RPC framework with Python bindings, built by Google. \- [rpyc](https://github.com/tomerfiliba-org/rpyc) (Remote Python Call) - A transparent and symmetric RPC library for Python. ### WebSocket \_Libraries for working with WebSocket.\_ \- [autobahn-python](https://github.com/crossbario/autobahn-python) \- WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html). \- [channels](https://github.com/django/channels) \- Developer-friendly asynchrony for Django. \- [flask-socketio](https://github.com/miguelgrinberg/Flask-SocketIO) \- Socket.IO integration for Flask applications. \- [picows](https://github.com/tarasko/picows) \- Fastest WebSocket clients and servers with a frame level interface for the most demanding use-cases. \- [websockets](https://github.com/python-websockets/websockets) \- A library for building WebSocket servers and clients with a focus on correctness and simplicity. ### Template Engines \_Libraries and tools for templating and lexing.\_ \- [jinja](https://github.com/pallets/jinja) \- A modern and designer friendly templating language. \- [mako](https://github.com/sqlalchemy/mako) \- Hyperfast and lightweight templating for the Python platform. ### Web Asset Management \_Tools for managing, compressing and minifying website assets.\_ \- [django-compressor](https://github.com/django-compressor/django-compressor) \- Compresses linked and inline JavaScript or CSS into a single cached file. \- [django-storages](https://github.com/jschneier/django-storages) \- A collection of custom storage back ends for Django. ### Authentication \_Libraries for implementing authentication schemes.\_ \- OAuth \- [authlib](https://github.com/authlib/authlib) \- JavaScript Object Signing and Encryption draft implementation. \- [django-allauth](https://github.com/pennersr/django-allauth) \- Authentication app for Django that "just works." \- [django-oauth-toolkit](https://github.com/django-oauth/django-oauth-toolkit) \- OAuth 2 goodies for Django. \- [oauthlib](https://github.com/oauthlib/oauthlib) \- A generic and thorough implementation of the OAuth request-signing logic. \- JWT \- [pyjwt](https://github.com/jpadilla/pyjwt) \- JSON Web Token implementation in Python. \- Permissions \- [django-guardian](https://github.com/django-guardian/django-guardian) \- Implementation of per-object permissions for Django. \- [django-rules](https://github.com/dfunckt/django-rules) \- A tiny but powerful app providing object-level permissions to Django, without requiring a database. ### Admin Panels \_Libraries for administrative interfaces.\_ \- [ajenti](https://github.com/ajenti/ajenti) \- The admin panel your servers deserve. \- [django-grappelli](https://github.com/sehmaschine/django-grappelli) \- A jazzy skin for the Django Admin-Interface. \- [django-unfold](https://github.com/unfoldadmin/django-unfold) \- Elevate your Django admin with a stunning modern interface, powerful features, and seamless user experience. \- [flask-admin](https://github.com/pallets-eco/flask-admin) \- Simple and extensible administrative interface framework for Flask. \- [flower](https://github.com/mher/flower) \- Real-time monitor and web admin for Celery. \- [func-to-web](https://github.com/offerrall/FuncToWeb) \- Instantly create web UIs from Python functions using type hints. Zero frontend code required. \- [jet-bridge](https://github.com/jet-admin/jet-bridge) \- Admin panel framework for any application with nice UI (ex Jet Django). ### CMS \_Content Management Systems.\_ \- [django-cms](https://github.com/django-cms/django-cms) \- The easy-to-use and developer-friendly enterprise CMS powered by Django. \- [indico](https://github.com/indico/indico) \- A feature-rich event management system, made @ [CERN](https://en.wikipedia.org/wiki/CERN). \- [wagtail](https://github.com/wagtail/wagtail) \- A Django content management system. ### Static Site Generators \_Static site generator is a software that takes some text + templates as input and produces HTML files on the output.\_ \- [lektor](https://github.com/lektor/lektor) \- An easy to use static CMS and blog engine. \- [nikola](https://github.com/getnikola/nikola) \- A static website and blog generator. \- [pelican](https://github.com/getpelican/pelican) \- Static site generator that supports Markdown and reST syntax. **HTTP & Scraping** ### HTTP Clients \_Libraries for working with HTTP.\_ \- [aiohttp](https://github.com/aio-libs/aiohttp) \- Asynchronous HTTP client/server framework for asyncio and Python. \- [furl](https://github.com/gruns/furl) \- A small Python library that makes parsing and manipulating URLs easy. \- [httptap](https://github.com/ozeranskii/httptap) \- Dissects an HTTP request into DNS, TCP, TLS, wait, and transfer phases and renders the timings as a waterfall. \- [httpx](https://github.com/encode/httpx) \- A next generation HTTP client for Python. \- [requests](https://github.com/psf/requests) \- HTTP Requests for Humans. \- [urllib3](https://github.com/urllib3/urllib3) \- A HTTP library with thread-safe connection pooling, file post support, sanity friendly. ### Web Scraping \_Libraries to automate web scraping and extract web content.\_ \- Frameworks \- [browser-use](https://github.com/browser-use/browser-use) \- Make websites accessible for AI agents with easy browser automation. \- [crawl4ai](https://github.com/unclecode/crawl4ai) \- An open-source, LLM-friendly web crawler that provides lightning-fast, structured data extraction specifically designed for AI agents. \- [mechanicalsoup](https://github.com/MechanicalSoup/MechanicalSoup) \- A Python library for automating interaction with websites. \- [scrapy](https://github.com/scrapy/scrapy) \- A fast high-level screen scraping and web crawling framework. \- Content Extraction \- [feedparser](https://github.com/kurtmckee/feedparser) \- Universal feed parser. \- [html2text](https://github.com/Alir3z4/html2text) \- Convert HTML to Markdown-formatted text. \- [micawber](https://github.com/coleifer/micawber) \- A small library for extracting rich content from URLs. \- [sumy](https://github.com/miso-belica/sumy) \- A module for automatic summarization of text documents and HTML pages. \- [trafilatura](https://github.com/adbar/trafilatura) \- A tool for gathering text and metadata from the web, with built-in content filtering. ### Email \_Libraries for sending and parsing email, and mail server management.\_ \- [modoboa](https://github.com/modoboa/modoboa) \- A mail hosting and management platform including a modern Web UI. \- [yagmail](https://github.com/kootenpv/yagmail) \- Yet another Gmail/SMTP client. **Database & Storage** ### ORM \_Libraries that implement Object-Relational Mapping or data mapping techniques.\_ \- Relational Databases \- [django.db.models](https://github.com/django/django) \- The Django [ORM](https://docs.djangoproject.com/en/dev/topics/db/models/). \- [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) \- The Python SQL Toolkit and Object Relational Mapper. \- [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy) \- [dataset](https://github.com/pudo/dataset) \- Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL. \- [peewee](https://github.com/coleifer/peewee) \- A small, expressive ORM. \- [pony](https://github.com/ponyorm/pony/) \- ORM that provides a generator-oriented interface to SQL. \- [sqlmodel](https://github.com/fastapi/sqlmodel) \- SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy. \- [tortoise-orm](https://github.com/tortoise/tortoise-orm) \- An easy-to-use asyncio ORM inspired by Django, with relations support. \- NoSQL Databases \- [beanie](https://github.com/BeanieODM/beanie) \- An asynchronous Python object-document mapper (ODM) for MongoDB. \- [mongoengine](https://github.com/MongoEngine/mongoengine) \- A Python Object-Document-Mapper for working with MongoDB. \- [pynamodb](https://github.com/pynamodb/PynamoDB) \- A Pythonic interface for [Amazon DynamoDB](https://aws.amazon.com/dynamodb/). ### Database Drivers \_Libraries for connecting and operating databases.\_ \- MySQL - [awesome-mysql](https://github.com/shlomi-noach/awesome-mysql) \- [mysqlclient](https://github.com/PyMySQL/mysqlclient) \- MySQL connector with Python 3 support ( [mysql-python](https://sourceforge.net/projects/mysql-python/) fork). \- [pymysql](https://github.com/PyMySQL/PyMySQL) \- A pure Python MySQL driver compatible to mysql-python. \- PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres) \- [psycopg](https://github.com/psycopg/psycopg) \- The most popular PostgreSQL adapter for Python. \- SQLite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite) \- [sqlite-utils](https://github.com/simonw/sqlite-utils) \- Python CLI utility and library for manipulating SQLite databases. \- [sqlite3](https://docs.python.org/3/library/sqlite3.html) \- (Python standard library) SQLite interface compliant with DB-API 2.0. \- Other Relational Databases \- [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) \- Python driver with native interface for ClickHouse. \- [mssql-python](https://github.com/microsoft/mssql-python) \- Official Microsoft driver for SQL Server and Azure SQL, built on ODBC for high performance and low memory usage. \- NoSQL Databases \- [cassandra-driver](https://github.com/apache/cassandra-python-driver) \- The Python Driver for Apache Cassandra. \- [django-mongodb-backend](https://github.com/mongodb/django-mongodb-backend) \- Official MongoDB database backend for Django. \- [pymongo](https://github.com/mongodb/mongo-python-driver) \- The official Python client for MongoDB. \- [redis-py](https://github.com/redis/redis-py) \- The Python client for Redis. ### Database \_Databases implemented in Python.\_ \- [chdb](https://github.com/chdb-io/chdb) \- In-process OLAP SQL engine with the full ClickHouse dialect, zero-copy pandas/Arrow interop, and federation to remote ClickHouse clusters via `remoteSecure()`. \- [chromadb](https://github.com/chroma-core/chroma) \- An open-source embedding database for building AI applications with embeddings and semantic search. \- [duckdb](https://github.com/duckdb/duckdb) \- An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads. \- [pickledb](https://github.com/patx/pickledb) \- A simple and lightweight key-value store for Python. \- [tinydb](https://github.com/msiemens/tinydb) \- A tiny, document-oriented database. \- [ZODB](https://github.com/zopefoundation/ZODB) \- A native object database for Python. A key-value and object graph database. ### Caching \_Libraries for caching data.\_ \- [cachetools](https://github.com/tkem/cachetools) \- Extensible memoizing collections and decorators. \- [django-cacheops](https://github.com/Suor/django-cacheops) \- A slick ORM cache with automatic granular event-driven invalidation. \- [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) \- dogpile.cache is a next generation replacement for Beaker made by the same authors. \- [python-diskcache](https://github.com/grantjenks/python-diskcache) \- SQLite and file backed cache backend with faster lookups than memcached and redis. ### Search \_Libraries and software for indexing and performing search queries on data.\_ \- [django-haystack](https://github.com/django-haystack/django-haystack) \- Modular search for Django. \- [elasticsearch-py](https://github.com/elastic/elasticsearch-py) \- The official low-level Python client for [Elasticsearch](https://www.elastic.co/products/elasticsearch). \- [pysolr](https://github.com/django-haystack/pysolr) \- A lightweight Python wrapper for [Apache Solr](https://lucene.apache.org/solr/). ### Serialization \_Libraries for serializing complex data types.\_ \- [marshmallow](https://github.com/marshmallow-code/marshmallow) \- A lightweight library for converting complex objects to and from simple Python datatypes. \- [msgpack](https://github.com/msgpack/msgpack-python) \- MessagePack serializer implementation for Python. \- [orjson](https://github.com/ijl/orjson) \- Fast, correct JSON library. **Data & Science** ### Data Analysis \_Libraries for data analysis.\_ \- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) \- Pandas on AWS. \- [datasette](https://github.com/simonw/datasette) \- An open source multi-tool for exploring and publishing data. \- [data-profiling](https://github.com/Data-Centric-AI-Community/fg-data-profiling) \- Generate detailed data profiling reports for pandas DataFrames. \- [desbordante](https://github.com/desbordante/desbordante-core/) \- An open source data profiler for complex pattern discovery. \- [ibis](https://github.com/ibis-project/ibis) \- A portable Python dataframe library with a single API for 20+ backends. \- [modin](https://github.com/modin-project/modin) \- A drop-in pandas replacement that scales workflows by changing a single line of code. \- [pandas](https://github.com/pandas-dev/pandas) \- A library providing high-performance, easy-to-use data structures and data analysis tools. \- [pathway](https://github.com/pathwaycom/pathway) \- Real-time data processing framework for Python with reactive dataflows. \- [polars](https://github.com/pola-rs/polars) \- A fast DataFrame library implemented in Rust with a Python API. ### Data Ingestion / ETL \_Libraries for data extraction, transformation, and loading pipelines across multiple sources and destinations.\_ \- General \- [dlt](https://github.com/dlt-hub/dlt) \- A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations. \- Financial Data \- [akshare](https://github.com/akfamily/akshare) \- A financial data interface library, built for human beings! \- [edgartools](https://github.com/dgunning/edgartools) \- Library for downloading structured data from SEC EDGAR filings and XBRL financial statements. \- [lumibot](https://github.com/Lumiwealth/lumibot) \- Algorithmic trading framework for backtesting and live deployment across stocks, options, crypto, futures, and forex. \- [openbb](https://github.com/OpenBB-finance/OpenBB) \- A financial data platform for analysts, quants and AI agents. \- [yfinance](https://github.com/ranaroussi/yfinance) \- Easy Pythonic way to download market and financial data from Yahoo Finance. ### Data Validation \_Libraries for validating data. Used for forms in many cases.\_ \- [cerberus](https://github.com/pyeve/cerberus) \- A lightweight and extensible data validation library. \- [jsonschema](https://github.com/python-jsonschema/jsonschema) \- An implementation of [JSON Schema](https://json-schema.org/) for Python. \- [pandera](https://github.com/unionai-oss/pandera) \- A data validation library for dataframes, with support for pandas, polars, and Spark. \- [pydantic](https://github.com/pydantic/pydantic) \- Data validation using Python type hints. \- [voluptuous](https://github.com/alecthomas/voluptuous) \- A Python data validation library primarily intended for validating data from untrusted sources. ### Data Visualization \_Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization).\_ \- Plotting \- [altair](https://github.com/vega/altair) \- Declarative statistical visualization library for Python. \- [bokeh](https://github.com/bokeh/bokeh) \- Interactive Web Plotting for Python. \- [bqplot](https://github.com/bqplot/bqplot) \- Interactive Plotting Library for the Jupyter Notebook. \- [matplotlib](https://github.com/matplotlib/matplotlib) \- A Python 2D plotting library. \- [plotly](https://github.com/plotly/plotly.py) \- Interactive graphing library for Python. \- [plotnine](https://github.com/has2k1/plotnine) \- A grammar of graphics for Python based on ggplot2. \- [pygal](https://github.com/Kozea/pygal) \- A Python SVG Charts Creator. \- [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) \- Interactive and realtime 2D/3D/Image plotting and science/engineering widgets. \- [seaborn](https://github.com/mwaskom/seaborn) \- Statistical data visualization using Matplotlib. \- [ultraplot](https://github.com/ultraplot/UltraPlot) \- Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting. \- [vispy](https://github.com/vispy/vispy) \- High-performance scientific visualization based on OpenGL. \- Specialized \- [cartopy](https://github.com/SciTools/cartopy) \- A cartographic python library with matplotlib support. \- [pygraphviz](https://github.com/pygraphviz/pygraphviz/) \- Python interface to [Graphviz](https://www.graphviz.org/). \- Dashboards and Apps \- [gradio](https://github.com/gradio-app/gradio) \- Build and share machine learning apps, all in Python. \- [streamlit](https://github.com/streamlit/streamlit) \- A framework which lets you build dashboards, generate reports, or create chat apps in minutes. ### Geolocation \_Libraries for geocoding addresses and working with latitudes and longitudes.\_ \- [django-countries](https://github.com/SmileyChris/django-countries) \- A Django app that provides a country field for models and forms. \- [geodjango](https://github.com/django/django) \- A world-class geographic web framework that is part of [Django](https://docs.djangoproject.com/en/dev/ref/contrib/gis/). \- [geojson](https://github.com/jazzband/geojson) \- Python bindings and utilities for GeoJSON. \- [geopandas](https://github.com/geopandas/geopandas) \- Python tools for geographic data (GeoSeries/GeoDataFrame) built on pandas. \- [geopy](https://github.com/geopy/geopy) \- Python Geocoding Toolbox. ### Science \_Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists).\_ \- Core \- [numba](https://github.com/numba/numba) \- Python JIT compiler to LLVM aimed at scientific Python. \- [numpy](https://github.com/numpy/numpy) \- A fundamental package for scientific computing with Python. \- [scipy](https://github.com/scipy/scipy) \- A Python-based ecosystem of open-source software for mathematics, science, and engineering. \- [statsmodels](https://github.com/statsmodels/statsmodels) \- Statistical modeling and econometrics in Python. \- [sympy](https://github.com/sympy/sympy) \- A Python library for symbolic mathematics. \- Biology and Chemistry \- [biopython](https://github.com/biopython/biopython) \- Biopython is a set of freely available tools for biological computation. \- [cclib](https://github.com/cclib/cclib) \- A library for parsing and interpreting the results of computational chemistry packages. \- [openbabel](https://github.com/openbabel/openbabel) \- A chemical toolbox designed to speak the many languages of chemical data. \- [rdkit](https://github.com/rdkit/rdkit) \- Cheminformatics and Machine Learning Software. \- Physics and Engineering \- [astropy](https://github.com/astropy/astropy) \- A community Python library for Astronomy. \- [obspy](https://github.com/obspy/obspy) \- A Python toolbox for seismology. \- [pydy](https://github.com/pydy/pydy) \- Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion. \- [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) \- This is a compilation of various robotics algorithms with visualizations. \- Simulation and Modeling \- [mesa](https://github.com/mesa/mesa) \- An agent-based modeling framework for building, analyzing, and visualizing complex system simulations. \- [pathsim](https://github.com/pathsim/pathsim) \- A block-based system modeling and simulation framework with a browser-based visual editor. \- [pymc](https://github.com/pymc-devs/pymc) \- Probabilistic programming and Bayesian modeling in Python. \- [simpy](https://gitlab.com/team-simpy/simpy) \- A process-based discrete-event simulation framework. \- Other \- [colour](https://github.com/colour-science/colour) \- Implementing a comprehensive number of colour theory transformations and algorithms. \- [manim](https://github.com/ManimCommunity/manim) \- An animation engine for explanatory math videos. \- [networkx](https://github.com/networkx/networkx) \- A high-productivity software for complex networks. \- [shapely](https://github.com/shapely/shapely) \- Manipulation and analysis of geometric objects in the Cartesian plane. ### Quantum Computing \_Libraries for quantum computing.\_ \- [Cirq](https://github.com/quantumlib/Cirq) — A Google-developed framework focused on hardware-aware quantum circuit design for NISQ devices. \- [pennylane](https://github.com/PennyLaneAI/pennylane) — A hybrid quantum-classical machine learning library with automatic differentiation support. \- [qiskit](https://github.com/Qiskit/qiskit) — An IBM-backed quantum SDK for building, simulating, and running circuits on real quantum hardware. \- [qutip](https://github.com/qutip/qutip) \- Quantum Toolbox in Python. **Developer Tools** ### Algorithms and Design Patterns \_Python implementation of data structures, algorithms and design patterns. Also see [awesome-algorithms](https://github.com/tayllan/awesome-algorithms).\_ \- Algorithms \- [algorithms](https://github.com/keon/algorithms) \- Minimal examples of data structures and algorithms. \- [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) \- Fast and pure-Python implementation of sorted collections. \- [thealgorithms](https://github.com/TheAlgorithms/Python) \- All Algorithms implemented in Python. \- Design Patterns \- [python-patterns](https://github.com/faif/python-patterns) \- A collection of design patterns in Python. \- [transitions](https://github.com/pytransitions/transitions) \- A lightweight, object-oriented finite state machine implementation. ### Interactive Interpreter \_Interactive Python interpreters (REPL).\_ \- [jupyter](https://github.com/jupyter/notebook) \- A rich toolkit to help you make the most out of using Python interactively. \- [awesome-jupyter](https://github.com/markusschanta/awesome-jupyter) \- [marimo](https://github.com/marimo-team/marimo) \- Transform data and train models, feels like a next-gen notebook, stored as Git-friendly Python. \- [ptpython](https://github.com/prompt-toolkit/ptpython) \- Advanced Python REPL built on top of the [python-prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit). ### Code Analysis \_Tools of static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/analysis-tools-dev/static-analysis).\_ \- Code Analysis \- [code2flow](https://github.com/scottrogowski/code2flow) \- Turn your Python and JavaScript code into DOT flowcharts. \- [prospector](https://github.com/prospector-dev/prospector) \- A tool to analyze Python code. \- [repowise](https://github.com/repowise-dev/repowise) \- Codebase intelligence that indexes repos into dependency graphs, git history, and auto-generated docs with dead code detection. \- [vulture](https://github.com/jendrikseipp/vulture) \- A tool for finding and analyzing dead Python code. \- Code Linters \- [bandit](https://github.com/PyCQA/bandit) \- A tool designed to find common security issues in Python code. \- [flake8](https://github.com/PyCQA/flake8) \- A wrapper around `pycodestyle`, `pyflakes` and McCabe. \- [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions) \- [pylint](https://github.com/pylint-dev/pylint) \- A fully customizable source code analyzer. \- Code Formatters \- [black](https://github.com/psf/black) \- The uncompromising Python code formatter. \- [isort](https://github.com/PyCQA/isort) \- A Python utility / library to sort imports. \- [ruff](https://github.com/astral-sh/ruff) \- An extremely fast Python linter and code formatter. \- Refactoring \- [rope](https://github.com/python-rope/rope) \- Rope is a python refactoring library. \- Type Checkers - [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing) \- [mypy](https://github.com/python/mypy) \- Check variable types during compile time. \- [pyrefly](https://github.com/facebook/pyrefly) \- A fast type checker and language server for Python. \- [ty](https://github.com/astral-sh/ty) \- An extremely fast Python type checker and language server. \- [typeshed](https://github.com/python/typeshed) \- Collection of library stubs for Python, with static types. \- Type Annotations Generators \- [monkeytype](https://github.com/Instagram/MonkeyType) \- A system for Python that generates static type annotations by collecting runtime types. \- [pytype](https://github.com/google/pytype) \- Pytype checks and infers types for Python code - without requiring type annotations. ### Testing \_Libraries for testing codebases and generating test data. Also see [awesome-python-testing](https://github.com/cleder/awesome-python-testing).\_ \- Frameworks \- [hypothesis](https://github.com/HypothesisWorks/hypothesis) \- Hypothesis is an advanced Quickcheck style property based testing library. \- [pytest](https://github.com/pytest-dev/pytest) \- A mature full-featured Python testing tool. \- [awesome-pytest](https://github.com/augustogoulart/awesome-pytest) \- [robotframework](https://github.com/robotframework/robotframework) \- A generic test automation framework. \- [scanapi](https://github.com/scanapi/scanapi) \- Automated Testing and Documentation for your REST API. \- [unittest](https://docs.python.org/3/library/unittest.html) \- (Python standard library) Unit testing framework. \- Test Runners \- [nox](https://github.com/wntrblm/nox) \- Flexible test automation for Python. \- [tox](https://github.com/tox-dev/tox) \- Auto builds and tests distributions in multiple Python versions \- GUI / Web Testing \- [locust](https://github.com/locustio/locust) \- Scalable user load testing tool written in Python. \- [playwright-python](https://github.com/microsoft/playwright-python) \- Python version of the Playwright testing and automation library. \- [pyautogui](https://github.com/asweigart/pyautogui) \- PyAutoGUI is a cross-platform GUI automation Python module for human beings. \- [schemathesis](https://github.com/schemathesis/schemathesis) \- A tool for automatic property-based testing of web applications built with Open API / Swagger specifications. \- [selenium](https://github.com/SeleniumHQ/selenium) \- Python bindings for [Selenium](https://selenium.dev/) [WebDriver](https://selenium.dev/documentation/webdriver/). \- Mock \- [freezegun](https://github.com/spulec/freezegun) \- Travel through time by mocking the datetime module. \- [mock](https://docs.python.org/3/library/unittest.mock.html) \- (Python standard library) A mocking and patching library. \- [mocket](https://github.com/mindflayer/python-mocket) \- A socket mock framework with gevent/asyncio/SSL support. \- [responses](https://github.com/getsentry/responses) \- A utility library for mocking out the requests Python library. \- [respx](https://github.com/lundberg/respx) \- Mock HTTPX with awesome request patterns and response side effects. \- [vcrpy](https://github.com/kevin1024/vcrpy) \- Record and replay HTTP interactions on your tests. \- Object Factories \- [factory\_boy](https://github.com/FactoryBoy/factory_boy) \- A test fixtures replacement for Python. \- [polyfactory](https://github.com/litestar-org/polyfactory) \- mock data generation library with support to classes (continuation of `pydantic-factories`) \- Code Coverage \- [coverage](https://github.com/coveragepy/coveragepy) \- Code coverage measurement. \- Fake Data \- [faker](https://github.com/joke2k/faker) \- A Python package that generates fake data. \- [mimesis](https://github.com/lk-geimfari/mimesis) \- is a Python library that help you generate fake data. ### Debugging Tools \_Libraries for debugging code.\_ \- pdb-like Debugger \- [ipdb](https://github.com/gotcha/ipdb) \- IPython-enabled [pdb](https://docs.python.org/3/library/pdb.html). \- [pudb](https://github.com/inducer/pudb) \- A full-screen, console-based Python debugger. \- Tracing \- [manhole](https://github.com/ionelmc/python-manhole) \- Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt. \- [python-hunter](https://github.com/ionelmc/python-hunter) \- A flexible code tracing toolkit. \- Profiler \- [py-spy](https://github.com/benfred/py-spy) \- A sampling profiler for Python programs. Written in Rust. \- [scalene](https://github.com/plasma-umass/scalene) \- A high-performance, high-precision CPU, GPU, and memory profiler for Python. \- Others \- [django-debug-toolbar](https://github.com/django-commons/django-debug-toolbar) \- Display various debug information for Django. \- [flask-debugtoolbar](https://github.com/pallets-eco/flask-debugtoolbar) \- A port of the django-debug-toolbar to flask. \- [icecream](https://github.com/gruns/icecream) \- Inspect variables, expressions, and program execution with a single, simple function call. \- [memory\_graph](https://github.com/bterwijn/memory_graph) \- Visualize Python data at runtime to debug references, mutability, and aliasing. ### Build Tools \_Compile software from source code.\_ \- [bitbake](https://github.com/openembedded/bitbake) \- A make-like build tool for embedded Linux. \- [invoke](https://github.com/pyinvoke/invoke) \- A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks. \- [platformio](https://github.com/platformio/platformio-core) \- A console tool to build code with different development platforms. \- [pybuilder](https://github.com/pybuilder/pybuilder) \- A continuous build tool written in pure Python. \- [doit](https://github.com/pydoit/doit) \- A task runner and build tool. \- [scons](https://github.com/SCons/scons) \- A software construction tool. ### Documentation \_Libraries for generating project documentation.\_ \- [sphinx](https://github.com/sphinx-doc/sphinx/) \- Python Documentation generator. \- [awesome-sphinxdoc](https://github.com/ygzgxyz/awesome-sphinxdoc) \- [diagrams](https://github.com/mingrammer/diagrams) \- Diagram as Code. \- [mkdocs](https://github.com/mkdocs/mkdocs/) \- Markdown friendly documentation generator. \- [pdoc](https://github.com/mitmproxy/pdoc) \- Epydoc replacement to auto generate API documentation for Python libraries. **DevOps** ### DevOps Tools \_Software and libraries for DevOps.\_ \- Cloud Providers \- [awscli](https://github.com/aws/aws-cli) \- Universal Command Line Interface for Amazon Web Services. \- [boto3](https://github.com/boto/boto3) \- Python interface to Amazon Web Services. \- Configuration Management \- [ansible](https://github.com/ansible/ansible) \- A radically simple IT automation platform. \- [cloudinit](https://github.com/canonical/cloud-init) \- A multi-distribution package that handles early initialization of a cloud instance. \- [openstack](https://github.com/openstack/openstack) \- Open source software for building private and public clouds. \- [pyinfra](https://github.com/pyinfra-dev/pyinfra) \- A versatile CLI tools and python libraries to automate infrastructure. \- [saltstack](https://github.com/saltstack/salt) \- Infrastructure automation and management system. \- Deployment \- [chalice](https://github.com/aws/chalice) \- A Python serverless microframework for AWS. \- [fabric](https://github.com/fabric/fabric) \- A simple, Pythonic tool for remote execution and deployment. \- Monitoring and Processes \- [psutil](https://github.com/giampaolo/psutil) \- A cross-platform process and system utilities module. \- [sentry-python](https://github.com/getsentry/sentry-python) \- Sentry SDK for Python. \- [sh](https://github.com/amoffat/sh) \- A full-fledged subprocess replacement for Python. \- [supervisor](https://github.com/Supervisor/supervisor) \- Supervisor process control system for UNIX. \- Other \- [borg](https://github.com/borgbackup/borg) \- A deduplicating archiver with compression and encryption. \- [chaostoolkit](https://github.com/chaostoolkit/chaostoolkit) \- A Chaos Engineering toolkit & Orchestration for Developers. \- [kubesdk](https://github.com/puzl-cloud/kubesdk) \- A modern async-first Kubernetes client and API model generator. \- [pre-commit](https://github.com/pre-commit/pre-commit) \- A framework for managing and maintaining multi-language pre-commit hooks. ### Distributed Computing \_Frameworks and libraries for Distributed Computing.\_ \- Batch Processing \- [dask](https://github.com/dask/dask) \- A flexible parallel computing library for analytic computing. \- [luigi](https://github.com/spotify/luigi) \- A module that helps you build complex pipelines of batch jobs. \- [mpi4py](https://github.com/mpi4py/mpi4py) \- Python bindings for MPI. \- [pyspark](https://github.com/apache/spark) \- [Apache Spark](https://spark.apache.org/) Python API. \- [joblib](https://github.com/joblib/joblib) \- A set of tools to provide lightweight pipelining in Python. \- [ray](https://github.com/ray-project/ray/) \- A system for parallel and distributed Python that unifies the machine learning ecosystem. ### Task Queues \_Libraries for working with task queues.\_ \- [celery](https://github.com/celery/celery) \- An asynchronous task queue/job queue based on distributed message passing. \- [dramatiq](https://github.com/Bogdanp/dramatiq) \- A fast and reliable background task processing library for Python 3. \- [huey](https://github.com/coleifer/huey) \- Little multi-threaded task queue. \- [rq](https://github.com/rq/rq) \- Simple job queues for Python. \- [taskiq](https://github.com/taskiq-python/taskiq) \- Distributed task queue with native asyncio support and pluggable brokers. ### Messaging \_Libraries for working with message brokers and event streaming.\_ \- [faststream](https://github.com/ag2ai/faststream) \- A framework for building asynchronous services over Apache Kafka, RabbitMQ, NATS, MQTT and Redis. ### Job Schedulers \_Libraries for scheduling jobs.\_ \- [airflow](https://github.com/apache/airflow) \- Airflow is a platform to programmatically author, schedule and monitor workflows. \- [apscheduler](https://github.com/agronholm/apscheduler) \- A light but powerful in-process task scheduler that lets you schedule functions. \- [dagster](https://github.com/dagster-io/dagster) \- An orchestration platform for the development, production, and observation of data assets. \- [prefect](https://github.com/PrefectHQ/prefect) \- A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines. \- [schedule](https://github.com/dbader/schedule) \- Python job scheduling for humans. \- [SpiffWorkflow](https://github.com/sartography/SpiffWorkflow) \- A powerful workflow engine implemented in pure Python. ### Logging \_Libraries for generating and working with logs.\_ \- [logfmter](https://github.com/josheppinette/python-logfmter) \- A standard library compatible logfmt formatter. \- [logging](https://docs.python.org/3/library/logging.html) \- (Python standard library) Logging facility for Python. \- [loguru](https://github.com/Delgan/loguru) \- Library which aims to bring enjoyable logging in Python. \- [structlog](https://github.com/hynek/structlog) \- Structured logging made easy. ### Network Virtualization \_Tools and libraries for Virtual Networking and SDN (Software Defined Networking).\_ \- [mininet](https://github.com/mininet/mininet) \- A popular network emulator and API written in Python. \- [napalm](https://github.com/napalm-automation/napalm) \- Cross-vendor API to manipulate network devices. \- [scapy](https://github.com/secdev/scapy) \- A brilliant packet manipulation library. **CLI & GUI** ### CLI Development \_Libraries for building command-line applications.\_ \- CLI Development \- [argparse](https://docs.python.org/3/library/argparse.html) \- (Python standard library) Command-line option and argument parsing. \- [cement](https://github.com/datafolklabs/cement) \- CLI Application Framework for Python. \- [click](https://github.com/pallets/click/) \- A package for creating beautiful command line interfaces in a composable way. \- [python-fire](https://github.com/google/python-fire) \- A library for creating command line interfaces from absolutely any Python object. \- [python-prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit) \- A library for building powerful interactive command lines. \- [typer](https://github.com/fastapi/typer) \- Modern CLI framework that uses Python type hints. Built on Click and Pydantic. \- Terminal Rendering \- [alive-progress](https://github.com/rsalmei/alive-progress) \- A new kind of Progress Bar, with real-time throughput, eta and very cool animations. \- [asciimatics](https://github.com/peterbrittain/asciimatics) \- A package to create full-screen text UIs (from interactive forms to ASCII animations). \- [colorama](https://github.com/tartley/colorama) \- Cross-platform colored terminal text. \- [rich](https://github.com/Textualize/rich) \- Python library for rich text and beautiful formatting in the terminal. Also provides a great `RichHandler` log handler. \- [textual](https://github.com/Textualize/textual) \- A framework for building interactive user interfaces that run in the terminal and the browser. \- [tqdm](https://github.com/tqdm/tqdm) \- Fast, extensible progress bar for loops and CLI. ### CLI Tools \_Useful CLI-based tools for productivity.\_ \- Productivity Tools \- [cookiecutter](https://github.com/cookiecutter/cookiecutter) \- A command-line utility that creates projects from cookiecutters (project templates). \- [copier](https://github.com/copier-org/copier) \- A library and command-line utility for rendering projects templates. \- [doitlive](https://github.com/sloria/doitlive) \- A tool for live presentations in the terminal. \- [thefuck](https://github.com/nvbn/thefuck) \- Correcting your previous console command. \- [tmuxp](https://github.com/tmux-python/tmuxp) \- A [tmux](https://github.com/tmux/tmux) session manager. \- [xonsh](https://github.com/xonsh/xonsh/) \- A Python-powered shell. Full-featured and cross-platform. \- [yt-dlp](https://github.com/yt-dlp/yt-dlp) \- A command-line program to download videos from YouTube and other video sites, a fork of youtube-dl. \- CLI Enhancements \- [httpie](https://github.com/httpie/cli) \- A command line HTTP client, a user-friendly cURL replacement. \- [iredis](https://github.com/laixintao/iredis) \- Redis CLI with autocompletion and syntax highlighting. \- [litecli](https://github.com/dbcli/litecli) \- SQLite CLI with autocompletion and syntax highlighting. \- [mycli](https://github.com/dbcli/mycli) \- MySQL CLI with autocompletion and syntax highlighting. \- [pgcli](https://github.com/dbcli/pgcli) \- PostgreSQL CLI with autocompletion and syntax highlighting. ### GUI Development \_Libraries for working with graphical user interface applications.\_ \- Desktop \- [customtkinter](https://github.com/tomschimansky/customtkinter) \- A modern and customizable python UI-library based on Tkinter. \- [dearpygui](https://github.com/hoffstadt/DearPyGui) \- A Simple GPU accelerated Python GUI framework \- [enaml](https://github.com/nucleic/enaml) \- Creating beautiful user-interfaces with Declarative Syntax like QML. \- [kivy](https://github.com/kivy/kivy) \- A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS. \- [pyglet](https://github.com/pyglet/pyglet) \- A cross-platform windowing and multimedia library for Python. \- [pygobject](https://github.com/GNOME/pygobject) \- Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3). \- [PyQt](https://www.riverbankcomputing.com/static/Docs/PyQt6/) \- Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework. \- [pyside](https://github.com/pyside/pyside-setup) \- Qt for Python offers the official Python bindings for [Qt](https://www.qt.io/), this is same as PyQt but it's the official binding with different licensing. \- [tkinter](https://docs.python.org/3/library/tkinter.html) \- (Python standard library) The standard Python interface to the Tcl/Tk GUI toolkit. \- [toga](https://github.com/beeware/toga) \- A Python native, OS native GUI toolkit. \- [wxPython](https://github.com/wxWidgets/Phoenix) \- A blending of the wxWidgets C++ class library with the Python. \- Web-based \- [flet](https://github.com/flet-dev/flet) \- Cross-platform GUI framework for building modern apps in pure Python. \- [nicegui](https://github.com/zauberzeug/nicegui) \- An easy-to-use, Python-based UI framework, which shows up in your web browser. \- [pywebview](https://github.com/r0x0r/pywebview/) \- A lightweight cross-platform native wrapper around a webview component. \- Terminal \- [curses](https://docs.python.org/3/library/curses.html) \- (Python standard library) The built-in wrapper for [ncurses](https://www.gnu.org/software/ncurses/) used to create terminal GUI applications. \- [urwid](https://github.com/urwid/urwid) \- A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc. \- Wrappers \- [gooey](https://github.com/chriskiehl/Gooey) \- Turn command line programs into a full GUI application with one line. **Text & Documents** ### Text Processing \_Libraries for parsing and manipulating plain texts.\_ \- General \- [babel](https://github.com/python-babel/babel) \- An internationalization library for Python. \- [chardet](https://github.com/chardet/chardet) \- Python character encoding detector. \- [difflib](https://docs.python.org/3/library/difflib.html) \- (Python standard library) Helpers for computing deltas. \- [ftfy](https://github.com/rspeer/python-ftfy) \- Makes Unicode text less broken and more consistent automagically. \- [pangu.py](https://github.com/vinta/pangu.py) \- Paranoid text spacing. \- [pyfiglet](https://github.com/pwaller/pyfiglet) \- An implementation of figlet written in Python. \- [pypinyin](https://github.com/mozillazg/python-pinyin) \- Convert Chinese hanzi (漢字) to pinyin (拼音). \- [python-slugify](https://github.com/un33k/python-slugify) \- A Python slugify library that translates unicode to ASCII. \- [textdistance](https://github.com/life4/textdistance) \- Compute distance between sequences with 30+ algorithms. \- [unidecode](https://github.com/avian2/unidecode) \- ASCII transliterations of Unicode text. \- Unique identifiers \- [sqids](https://github.com/sqids/sqids-python) \- A library for generating short unique IDs from numbers. \- [shortuuid](https://github.com/skorokithakis/shortuuid) \- A generator library for concise, unambiguous and URL-safe UUIDs. \- Parser \- [pygments](https://github.com/pygments/pygments) \- A generic syntax highlighter. \- [pyparsing](https://github.com/pyparsing/pyparsing) \- A general purpose framework for generating parsers. \- [python-nameparser](https://github.com/derek73/python-nameparser) \- Parsing human names into their individual components. \- [python-phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) \- Parsing, formatting, storing and validating international phone numbers. \- [python-user-agents](https://github.com/selwin/python-user-agents) \- Browser user agent parser. \- [sqlparse](https://github.com/andialbrecht/sqlparse) \- A non-validating SQL parser. ### HTML Manipulation \_Libraries for working with HTML and XML.\_ \- [beautifulsoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) \- Providing Pythonic idioms for iterating, searching, and modifying HTML or XML. \- [justhtml](https://github.com/EmilStenstrom/justhtml/) \- A pure Python HTML5 parser that just works. \- [lxml](https://github.com/lxml/lxml) \- A very fast, easy-to-use and versatile library for handling HTML and XML. \- [markupsafe](https://github.com/pallets/markupsafe) \- Implements a XML/HTML/XHTML Markup safe string for Python. \- [pyquery](https://github.com/gawel/pyquery) \- A jQuery-like library for parsing HTML. \- [tinycss2](https://github.com/Kozea/tinycss2) \- A low-level CSS parser and generator written in Python. \- [xmltodict](https://github.com/martinblech/xmltodict) \- Working with XML feel like you are working with JSON. ### File Format Processing \_Libraries for parsing and manipulating specific text formats.\_ \- General \- [docling](https://github.com/docling-project/docling) \- Library for converting documents into structured data. \- [kreuzberg](https://github.com/kreuzberg-dev/kreuzberg) \- High-performance document extraction library with a Rust core, supporting 62+ formats including PDF, Office, images with OCR, HTML, email, and archives. \- [pyelftools](https://github.com/eliben/pyelftools) \- Parsing and analyzing ELF files and DWARF debugging information. \- [tablib](https://github.com/jazzband/tablib) \- A module for Tabular Datasets in XLS, CSV, JSON, YAML. \- MS Office \- [docxtpl](https://github.com/elapouya/python-docx-template) \- Editing a docx document by jinja2 template \- [openpyxl](https://openpyxl.readthedocs.io/en/stable/) \- A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files. \- [pyexcel](https://github.com/pyexcel/pyexcel) \- Providing one API for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files. \- [python-docx](https://github.com/python-openxml/python-docx) \- Reads, queries and modifies Microsoft Word 2007/2008 docx files. \- [python-pptx](https://github.com/scanny/python-pptx) \- Python library for creating and updating PowerPoint (.pptx) files. \- [xlsxwriter](https://github.com/jmcnamara/XlsxWriter) \- A Python module for creating Excel .xlsx files. \- [xlwings](https://github.com/xlwings/xlwings) \- A BSD-licensed library that makes it easy to call Python from Excel and vice versa. \- PDF \- [pdf\_oxide](https://github.com/yfedoseev/pdf_oxide) \- A fast PDF library for text extraction, image extraction, and markdown conversion, powered by Rust. \- [pdfminer.six](https://github.com/pdfminer/pdfminer.six) \- Pdfminer.six is a community maintained fork of the original PDFMiner. \- [pikepdf](https://github.com/pikepdf/pikepdf) \- A powerful library for reading and editing PDF files, based on qpdf. \- [pypdf](https://github.com/py-pdf/pypdf) \- A library capable of splitting, merging, cropping, and transforming PDF pages. \- [reportlab](https://www.reportlab.com/opensource/) \- Allowing Rapid creation of rich PDF documents. \- [weasyprint](https://github.com/Kozea/WeasyPrint) \- A visual rendering engine for HTML and CSS that can export to PDF. \- Markdown \- [markdown-it-py](https://github.com/executablebooks/markdown-it-py) \- Markdown parser with 100% CommonMark support, extensions, and syntax plugins. \- [markdown](https://github.com/Python-Markdown/markdown) \- A Python implementation of John Gruber’s Markdown. \- [markitdown](https://github.com/microsoft/markitdown) \- Python tool for converting files and office documents to Markdown. \- [mistune](https://github.com/lepture/mistune) \- Fastest and full featured pure Python parsers of Markdown. \- Data Formats \- [csvkit](https://github.com/wireservice/csvkit) \- Utilities for converting to and working with CSV. \- [pyyaml](https://github.com/yaml/pyyaml) \- YAML implementations for Python. \- [tomllib](https://docs.python.org/3/library/tomllib.html) \- (Python standard library) Parse TOML files. ### File Manipulation \_Libraries for file manipulation.\_ \- [mimetypes](https://docs.python.org/3/library/mimetypes.html) \- (Python standard library) Map filenames to MIME types. \- [pathlib](https://docs.python.org/3/library/pathlib.html) \- (Python standard library) A cross-platform, object-oriented path library. \- [python-magic](https://github.com/ahupp/python-magic) \- A Python interface to the libmagic file type identification library. \- [watchdog](https://github.com/gorakhargosh/watchdog) \- API and shell utilities to monitor file system events. \- [watchfiles](https://github.com/samuelcolvin/watchfiles) \- Simple, modern and fast file watching and code reload in python. **Media** ### Image Processing \_Libraries for manipulating images.\_ \- [pillow](https://github.com/python-pillow/Pillow) \- Pillow is the friendly [PIL](https://www.pythonware.com/products/pil/) fork. \- [pymatting](https://github.com/pymatting/pymatting) \- A library for alpha matting. \- [python-barcode](https://github.com/WhyNotHugo/python-barcode) \- Create barcodes in Python with no extra dependencies. \- [python-qrcode](https://github.com/lincolnloop/python-qrcode) \- A pure Python QR Code generator. \- [pyvips](https://github.com/libvips/pyvips) \- A fast image processing library with low memory needs. \- [scikit-image](https://github.com/scikit-image/scikit-image) \- A Python library for (scientific) image processing. \- [thumbor](https://github.com/thumbor/thumbor) \- A smart imaging service. It enables on-demand crop, re-sizing and flipping of images. \- [wand](https://github.com/emcconville/wand) \- Python bindings for [MagickWand](https://www.imagemagick.org/script/magick-wand.php), C API for ImageMagick. ### Audio & Video Processing \_Libraries for manipulating audio, video, and their metadata.\_ \- Audio \- [birdnet](https://github.com/birdnet-team/BirdNET-Analyzer) \- Deep learning framework for acoustic species detection; identifies bird species from audio recordings using TensorFlow. \- [gtts](https://github.com/pndurette/gTTS) \- Python library and CLI tool for converting text to speech using Google Translate TTS. \- [KittenTTS](https://github.com/KittenML/KittenTTS) \- Lightweight ONNX text-to-speech library with small CPU-friendly models. \- [librosa](https://github.com/librosa/librosa) \- Python library for audio and music analysis. \- [matchering](https://github.com/sergree/matchering) \- A library for automated reference audio mastering. \- [pydub](https://github.com/jiaaro/pydub) \- Manipulate audio with a simple and easy high level interface. \- Video \- [moviepy](https://github.com/Zulko/moviepy) \- A module for script-based movie editing with many formats, including animated GIFs. \- [vidgear](https://github.com/abhiTronix/vidgear) \- Most Powerful multi-threaded Video Processing framework. \- Metadata \- [beets](https://github.com/beetbox/beets) \- A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger. \- [mutagen](https://github.com/quodlibet/mutagen) \- A Python module to handle audio metadata. \- [tinytag](https://github.com/tinytag/tinytag) \- A library for reading music meta data of MP3, OGG, FLAC and Wave files. ### Game Development \_Awesome game development libraries.\_ \- [arcade](https://github.com/pythonarcade/arcade) \- Arcade is a modern Python framework for crafting games with compelling graphics and sound. \- [panda3d](https://github.com/panda3d/panda3d) \- 3D game engine developed by Disney. \- [py-sdl2](https://github.com/py-sdl/py-sdl2) \- A ctypes based wrapper for the SDL2 library. \- [pygame](https://github.com/pygame/pygame) \- Pygame is a set of Python modules designed for writing games. \- [pyopengl](https://github.com/mcfletch/pyopengl) \- Python ctypes bindings for OpenGL and it's related APIs. \- [renpy](https://github.com/renpy/renpy) \- A Visual Novel engine. **Python Language** ### Implementations \_Implementations of Python.\_ \- [cpython](https://github.com/python/cpython) \- Default, most widely used implementation of the Python programming language written in C. \- [cython](https://github.com/cython/cython) \- Optimizing Static Compiler for Python. \- [ironpython](https://github.com/IronLanguages/ironpython3) \- Implementation of the Python programming language written in C#. \- [micropython](https://github.com/micropython/micropython) \- A lean and efficient Python programming language implementation. \- [pyodide](https://github.com/pyodide/pyodide) \- Python distribution for the browser and Node.js based on WebAssembly. \- [pypy](https://github.com/pypy/pypy) \- A very fast and compliant implementation of the Python language. ### Built-in Classes Enhancement \_Libraries for enhancing Python built-in classes.\_ \- [attrs](https://github.com/python-attrs/attrs) \- Replacement for `__init__`, `__eq__`, `__repr__`, etc. boilerplate in class definitions. \- [bidict](https://github.com/jab/bidict) \- Efficient, Pythonic bidirectional map data structures and related functionality. \- [box](https://github.com/cdgriffith/Box) \- Python dictionaries with advanced dot notation access. \- [uuid-utils](https://github.com/aminalaee/uuid-utils) \- A fast, Rust-backed drop-in replacement for Python's built-in `uuid` module, supporting RFC 9562 (UUIDv6, UUIDv7, and UUIDv8). ### Functional Programming \_Functional Programming with Python.\_ \- [coconut](https://github.com/evhub/coconut) \- A variant of Python built for simple, elegant, Pythonic functional programming. \- [functools](https://docs.python.org/3/library/functools.html) \- (Python standard library) Higher-order functions and operations on callable objects. \- [funcy](https://github.com/Suor/funcy) \- A fancy and practical functional tools. \- [more-itertools](https://github.com/more-itertools/more-itertools) \- More routines for operating on iterables, beyond `itertools`. \- [returns](https://github.com/dry-python/returns) \- A set of type-safe monads, transformers, and composition utilities. \- [toolz](https://github.com/pytoolz/toolz) \- A collection of functional utilities for iterators, functions, and dictionaries. Also available as [cytoolz](https://github.com/pytoolz/cytoolz/) for Cython-accelerated performance. ### Asynchronous Programming \_Libraries for asynchronous, concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio).\_ \- [anyio](https://github.com/agronholm/anyio) \- A high-level async concurrency and networking framework that works on top of asyncio or trio. \- [asyncio](https://docs.python.org/3/library/asyncio.html) \- (Python standard library) Asynchronous I/O, event loop, coroutines and tasks. \- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio) \- [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) \- (Python standard library) A high-level interface for asynchronously executing callables. \- [gevent](https://github.com/gevent/gevent) \- A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet). \- [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) \- (Python standard library) Process-based parallelism. \- [trio](https://github.com/python-trio/trio) \- A friendly library for async concurrency and I/O. \- [twisted](https://github.com/twisted/twisted) \- An event-driven networking engine. \- [uvloop](https://github.com/MagicStack/uvloop) \- Ultra fast asyncio event loop. ### Date and Time \_Libraries for working with dates and times.\_ \- [dateparser](https://github.com/scrapinghub/dateparser) \- A Python parser for human-readable dates in dozens of languages. \- [dateutil](https://github.com/dateutil/dateutil) \- Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module. \- [pendulum](https://github.com/python-pendulum/pendulum) \- Python datetimes made easy. \- [zoneinfo](https://docs.python.org/3/library/zoneinfo.html) \- (Python standard library) IANA time zone support. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python. **Python Toolchain** ### Environment Management \_Libraries for Python version and virtual environment management.\_ \- [KillPy](https://github.com/Tlaloc-Es/killpy) \- Analyze, detect, and clean unused Python environments and pipx packages. \- [pyenv](https://github.com/pyenv/pyenv) \- Simple Python version management. \- [pyenv-win](https://github.com/pyenv-win/pyenv-win) \- Pyenv for Windows. \- [uv](https://github.com/astral-sh/uv) \- An extremely fast Python version, package and project manager, written in Rust. \- [virtualenv](https://github.com/pypa/virtualenv) \- A tool to create isolated Python environments. ### Package Management \_Libraries for package and dependency management.\_ \- [conda](https://github.com/conda/conda/) \- Cross-platform, Python-agnostic binary package manager. \- [pip](https://github.com/pypa/pip) \- The package installer for Python. \- [pipx](https://github.com/pypa/pipx) \- Install and Run Python Applications in Isolated Environments. Like `npx` in Node.js. \- [poetry](https://github.com/python-poetry/poetry) \- Python dependency management and packaging made easy. \- [uv](https://github.com/astral-sh/uv) \- An extremely fast Python version, package and project manager, written in Rust. ### Package Repositories \_Local PyPI repository server and proxies.\_ \- [bandersnatch](https://github.com/pypa/bandersnatch/) \- PyPI mirroring tool provided by Python Packaging Authority (PyPA). \- [devpi](https://github.com/devpi/devpi) \- PyPI server and packaging/testing/release tool. \- [warehouse](https://github.com/pypi/warehouse) \- Next generation Python Package Repository (PyPI). ### Distribution \_Libraries to create packaged executables for release distribution.\_ \- [cx-Freeze](https://github.com/marcelotduarte/cx_Freeze) \- It is a Python tool that converts Python scripts into standalone executables and installers for Windows, macOS, and Linux. \- [Nuitka](https://github.com/Nuitka/Nuitka) \- Compiles Python programs into high-performance standalone executables (cross-platform, supports all Python versions). \- [pyarmor](https://github.com/dashingsoft/pyarmor) \- A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts. \- [pyinstaller](https://github.com/pyinstaller/pyinstaller) \- Converts Python programs into stand-alone executables (cross-platform). \- [shiv](https://github.com/linkedin/shiv) \- A command line utility for building fully self-contained zipapps (PEP 441), but with all their dependencies included. ### Configuration Files \_Libraries for storing and parsing configuration options.\_ \- [configparser](https://docs.python.org/3/library/configparser.html) \- (Python standard library) INI file parser. \- [dynaconf](https://github.com/dynaconf/dynaconf) \- Dynaconf is a configuration manager with plugins for Django, Flask and FastAPI. \- [hydra](https://github.com/facebookresearch/hydra) \- Hydra is a framework for elegantly configuring complex applications. \- [python-decouple](https://github.com/HBNetwork/python-decouple) \- Strict separation of settings from code. \- [python-dotenv](https://github.com/theskumar/python-dotenv) \- Reads key-value pairs from a `.env` file and sets them as environment variables. **Security** ### Cryptography \- [cryptography](https://github.com/pyca/cryptography) \- A package designed to expose cryptographic primitives and recipes to Python developers. \- [paramiko](https://github.com/paramiko/paramiko) \- The leading native Python SSHv2 protocol library. \- [pynacl](https://github.com/pyca/pynacl) \- Python binding to the Networking and Cryptography (NaCl) library. ### Penetration Testing \_Frameworks and tools for penetration testing.\_ \- [mitmproxy](https://github.com/mitmproxy/mitmproxy) \- An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers. \- [setoolkit](https://github.com/trustedsec/social-engineer-toolkit) \- A toolkit for social engineering. \- [sherlock](https://github.com/sherlock-project/sherlock) \- Hunt down social media accounts by username across social networks. \- [sqlmap](https://github.com/sqlmapproject/sqlmap) \- Automatic SQL injection and database takeover tool. ### Web Security \_Libraries for application-layer web security.\_ \- [secure](https://github.com/TypeError/secure) \- HTTP security headers for Python web applications with ASGI and WSGI middleware. **Other** ### Hardware \_Libraries for programming with hardware.\_ \- [bleak](https://github.com/hbldh/bleak) \- A cross platform Bluetooth Low Energy Client for Python using asyncio. \- [jumpstarter](https://github.com/jumpstarter-dev/jumpstarter) \- A hardware-in-the-loop testing framework with a Python client library for automated testing on real and virtual hardware. \- [pynput](https://github.com/moses-palmer/pynput) \- A library to control and monitor input devices. \- [synology-api](https://github.com/N4S4/synology-api) \- Python wrapper for Synology NAS APIs: Surveillance Station, File Station, Download Station, Docker, and 50+ other endpoints. ### Microsoft Windows \_Python programming on Microsoft Windows.\_ \- [pythonnet](https://github.com/pythonnet/pythonnet) \- Python Integration with the .NET Common Language Runtime (CLR). \- [pywin32](https://github.com/mhammond/pywin32) \- Python Extensions for Windows. \- [winpython](https://github.com/winpython/winpython) \- Portable development environment for Windows 10/11. ### Miscellaneous \_Useful libraries or tools that don't fit in the categories above.\_ \- [blinker](https://github.com/pallets-eco/blinker) \- A fast Python in-process signal/event dispatching system. \- [boltons](https://github.com/mahmoud/boltons) \- A set of pure-Python utilities. \- [itsdangerous](https://github.com/pallets/itsdangerous) \- Various helpers to pass trusted data to untrusted environments. \- [tryton](https://github.com/tryton/tryton) \- A general-purpose business framework. ## Resources Where to discover learning resources or new Python libraries. ### Newsletters \- [Awesome Python Newsletter](https://python.libhunt.com/newsletter) \- [Pycoder's Weekly](https://pycoders.com/) \- [Python Tricks](https://realpython.com/python-tricks/) \- [Python Weekly](https://www.pythonweekly.com/) ### Podcasts \- [Django Chat](https://djangochat.com/) \- [PyPodcats](https://pypodcats.live/) \- [Python Bytes](https://pythonbytes.fm/) \- [Talk Python To Me](https://talkpython.fm/) \- [The Real Python Podcast](https://realpython.com/podcasts/rpp/) ### Websites \- [Python Developer Tooling Handbook](https://pydevtools.com/) \- Comprehensive guide to modern Python developer tools covering package management, linting, type checking, testing, and more. ## Contributing Your contributions are always welcome! Please take a look at the [contribution guidelines](https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md) first. \-\-\- If you have any question about this opinionated list, do not hesitate to contact [@vinta](https://x.com/vinta) on X (Twitter). ### 🔗 项目信息 **创建时间:** 2014/6/28 **最后更新:** 2026/6/15 **开源协议:** Other **项目大小:** 5.7k KB ### 📊 项目统计 ⭐ 星标: 302.9k 🍴 分支: 28.1k 👀 关注者: 302.9k 📝 议题: 21 [🌟 访问GitHub仓库](https://github.com/vinta/awesome-python)