# [Awesome Python](https://awesome-python.com/)
An opinionated guide to the best Python frameworks, libraries, and tools.
**Visit the [website](https://awesome-python.com/) to search and filter projects more easily.**
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## Categories
**AI & ML**
- [AI and Agents](#ai-and-agents)
- [Deep Learning](#deep-learning)
- [Machine Learning](#machine-learning)
- [Natural Language Processing](#natural-language-processing)
- [Computer Vision](#computer-vision)
- [Recommender Systems](#recommender-systems)
**Web Development**
- [Web Frameworks](#web-frameworks)
- [Web APIs](#web-apis)
- [Web Servers](#web-servers)
- [WebSocket](#websocket)
- [Template Engines](#template-engines)
- [Web Asset Management](#web-asset-management)
- [Authentication](#authentication)
- [Admin Panels](#admin-panels)
- [CMS](#cms)
- [ERP](#erp)
- [Static Site Generators](#static-site-generators)
**HTTP & Scraping**
- [HTTP Clients](#http-clients)
- [Web Scraping](#web-scraping)
- [Email](#email)
**Database & Storage**
- [ORM](#orm)
- [Database Drivers](#database-drivers)
- [Database](#database)
- [Caching](#caching)
- [Search](#search)
- [Serialization](#serialization)
**Data & Science**
- [Data Analysis](#data-analysis)
- [Data Ingestion / ETL](#data-ingestion--etl)
- [Data Validation](#data-validation)
- [Data Visualization](#data-visualization)
- [Geolocation](#geolocation)
- [Science](#science)
- [Quantum Computing](#quantum-computing)
**Developer Tools**
- [Algorithms and Design Patterns](#algorithms-and-design-patterns)
- [Interactive Interpreter](#interactive-interpreter)
- [Code Analysis](#code-analysis)
- [Testing](#testing)
- [Debugging Tools](#debugging-tools)
- [Build Tools](#build-tools)
- [Documentation](#documentation)
**DevOps**
- [DevOps Tools](#devops-tools)
- [Distributed Computing](#distributed-computing)
- [Task Queues](#task-queues)
- [Messaging](#messaging)
- [Job Schedulers](#job-schedulers)
- [Logging](#logging)
- [Network Virtualization](#network-virtualization)
**CLI & GUI**
- [CLI Development](#cli-development)
- [CLI Tools](#cli-tools)
- [GUI Development](#gui-development)
**Text & Documents**
- [Text Processing](#text-processing)
- [HTML Manipulation](#html-manipulation)
- [File Format Processing](#file-format-processing)
- [File Manipulation](#file-manipulation)
**Media**
- [Image Processing](#image-processing)
- [Audio & Video Processing](#audio--video-processing)
- [Game Development](#game-development)
**Python Language**
- [Implementations](#implementations)
- [Built-in Classes Enhancement](#built-in-classes-enhancement)
- [Functional Programming](#functional-programming)
- [Asynchronous Programming](#asynchronous-programming)
- [Date and Time](#date-and-time)
**Python Toolchain**
- [Environment Management](#environment-management)
- [Package Management](#package-management)
- [Package Repositories](#package-repositories)
- [Distribution](#distribution)
- [Configuration Files](#configuration-files)
**Security**
- [Cryptography](#cryptography)
- [Penetration Testing](#penetration-testing)
- [Supply Chain Security](#supply-chain-security)
- [Web Security](#web-security)
**Other**
- [Hardware](#hardware)
- [Microsoft Windows](#microsoft-windows)
- [Miscellaneous](#miscellaneous)
## 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.
- [scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) - Agent skills for scientific research and analysis with Python libraries like scikit-learn, polars, and biopython.
- [sentry-skills](https://github.com/getsentry/skills) - Agent skills the Sentry team uses for code review, pull requests, and Django reviews.
- [trailofbits-skills](https://github.com/trailofbits/skills) - Security skills for vulnerability detection, auditing, and testing.
- [wshobson-agents](https://github.com/wshobson/agents) - Plugins, agents, and skills for AI coding tools, including Python skills for testing, async, packaging, and uv.
- Orchestration
- [langchain](https://github.com/langchain-ai/langchain) - A framework for building agents and LLM-powered applications.
- [langgraph](https://github.com/langchain-ai/langgraph) - Low-level orchestration framework for building stateful, long-running LLM agents.
- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
- [crewai](https://github.com/crewAIInc/crewAI) - A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.
- Vendor Agent SDKs
- [claude-agent-sdk](https://github.com/anthropics/claude-agent-sdk-python) - Anthropic's Python SDK for building AI agents on Claude Code's harness — custom tools, in-process MCP servers, hooks.
- [openai-agents](https://github.com/openai/openai-agents-python) - OpenAI's framework for building and managing AI agents.
- [google-adk](https://github.com/google/adk-python) - Google's code-first toolkit for building, evaluating, and deploying AI agents.
- Model Context Protocol
- [mcp](https://github.com/modelcontextprotocol/python-sdk) - The official Python SDK for building Model Context Protocol servers and clients.
- [fastmcp](https://github.com/PrefectHQ/fastmcp) - A high-level, Pythonic framework for building MCP servers and clients.
- Personal Assistants
- [hermes-agent](https://github.com/NousResearch/hermes-agent) - An adaptive personal AI assistant that grows with you.
- [AstrBot](https://github.com/AstrBotDevs/AstrBot) - A multi-platform AI assistant that connects LLMs to chat apps like Telegram, Slack, and QQ, extensible with Python plugins.
- Prompt Optimization
- [dspy](https://github.com/stanfordnlp/dspy) - A framework for programming, not prompting, language models.
- 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 toolkit for building RAG pipelines and agents over your data.
- [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions.
- [openviking](https://github.com/volcengine/OpenViking) - A context database for AI agents that unifies memory, resources, and skills.
- [semantica](https://github.com/semantica-agi/semantica) - A graph-native context and knowledge layer for AI agents with reasoning, provenance, and governance.
- Pre-trained Models
- [transformers](https://github.com/huggingface/transformers) - The model-definition framework for pretrained models in text, computer vision, audio, video, and multimodal tasks, for inference and training.
- [sentence-transformers](https://github.com/huggingface/sentence-transformers) - Compute embeddings, run retrieval, and rerank results with pretrained and fine-tuned models.
- Local LLM Inference
- [ollama](https://github.com/ollama/ollama-python) - Python client for Ollama, which downloads and runs open-weight LLMs locally.
- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) - Python bindings for llama.cpp, for running GGUF models locally.
- [mlx-lm](https://github.com/ml-explore/mlx-lm) - Run and fine-tune large language models on Apple Silicon with MLX.
- LLM Serving
- [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
- [sglang](https://github.com/sgl-project/sglang) - A high-performance serving framework for large language models and multimodal models.
- [deepinfer](https://github.com/deepseek-ai/DeepInfer) - DeepSeek's production inference engine for DeepSeek models, with MoE expert parallelism.
- Image and Video Generation
- [diffusers](https://github.com/huggingface/diffusers) - Pre-trained diffusion models for generating and editing images, audio, and video.
- Fine-tuning
- [peft](https://github.com/huggingface/peft) - A library for parameter-efficient fine-tuning of large pretrained models.
- [trl](https://github.com/huggingface/trl) - A library for post-training transformer language models with SFT, DPO, GRPO, and other trainers.
- [unsloth](https://github.com/unslothai/unsloth) - Faster, lower-memory LLM fine-tuning, as a Python library or a desktop app.
- [axolotl](https://github.com/axolotl-ai-cloud/axolotl) - A framework for fine-tuning and post-training large language models.
- Speech
- [faster-whisper](https://github.com/SYSTRAN/faster-whisper) - A Whisper reimplementation on CTranslate2, up to 4 times faster than openai-whisper with less memory.
- [openai-whisper](https://github.com/openai/whisper) - A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data.
- [gTTS](https://github.com/pndurette/gTTS) - Python library and CLI tool for converting text to speech using Google Translate TTS.
- [funasr](https://github.com/modelscope/FunASR) - Industrial-grade speech recognition toolkit with speaker diarization and emotion detection.
### Deep Learning
_Frameworks for neural networks and deep learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)._
- Frameworks
- [pytorch](https://github.com/pytorch/pytorch) - Tensors and dynamic neural networks in Python with strong GPU acceleration.
- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
- [jax](https://github.com/jax-ml/jax) - A library for high-performance numerical computing with autodiff and JIT compilation.
- [keras](https://github.com/keras-team/keras) - A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.
- [tensorflow](https://github.com/tensorflow/tensorflow) - An end-to-end machine learning platform from Google.
- Reinforcement Learning
- [gymnasium](https://github.com/Farama-Foundation/Gymnasium) - A standard API for reinforcement learning environments with popular reference environments ([gym](https://github.com/openai/gym) successor).
- [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
### Machine Learning
_Libraries for machine learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python)._
- General
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for machine learning with extensive documentation and community support.
- [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) - Resampling techniques for imbalanced datasets, compatible with scikit-learn.
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for causal and probabilistic reasoning with graphical models.
- [feature-engine](https://github.com/feature-engine/feature_engine) - sklearn-compatible API with the widest toolset for feature engineering and selection.
- Gradient Boosting
- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
- [lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high-performance gradient boosting framework.
- [catboost](https://github.com/catboost/catboost) - A fast, scalable, high-performance gradient boosting on decision trees library.
- Time Series Forecasting
- [prophet](https://github.com/meta/prophet) - A tool for producing forecasts for time series with multiple seasonality and trend changes.
- [statsforecast](https://github.com/Nixtla/statsforecast) - Fast statistical forecasting models such as ARIMA, ETS, and Theta, compiled with numba.
- [sktime](https://github.com/sktime/sktime) - A unified scikit-learn-style framework for forecasting and other time-series learning tasks.
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
- Hyperparameter Optimization
- [optuna](https://github.com/optuna/optuna) - A hyperparameter optimization framework with define-by-run search spaces and pruning of unpromising trials.
- [hyperopt](https://github.com/hyperopt/hyperopt) - Distributed asynchronous hyperparameter optimization with Tree-structured Parzen Estimators.
### Natural Language Processing
_Libraries for working with human languages._
- General
- [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.
- [gensim](https://github.com/piskvorky/gensim) - Topic Modeling for Humans.
- [stanza](https://github.com/stanfordnlp/stanza) - The Stanford NLP Group's official Python library, supporting 60+ languages.
- Chinese
- [jieba](https://github.com/fxsjy/jieba) - The most popular Chinese text segmentation library.
- [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音).
- [OpenCC](https://github.com/BYVoid/OpenCC) - Traditional/Simplified Chinese conversion with regional variants and phrase-level rules.
- [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
### Computer Vision
_Libraries for image and video analysis, object detection, and OCR._
- General
- [opencv-python](https://github.com/opencv/opencv-python) - Open Source Computer Vision Library.
- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, classification, and tracking.
- [kornia](https://github.com/kornia/kornia) - Open-source differentiable computer vision library for PyTorch.
- [fiftyone](https://github.com/voxel51/fiftyone) - The open-source tool for building high-quality datasets and computer vision models.
- OCR
- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for the [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine.
- [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 80+ languages supported.
- [paddleocr](https://github.com/PaddlePaddle/PaddleOCR) - Multilingual OCR and document parsing toolkit based on PaddlePaddle.
### 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](#web-apis)._
- Synchronous
- [flask](https://github.com/pallets/flask) - A microframework for Python.
- [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
- [django](https://github.com/django/django) - A high-level web framework that encourages rapid development and clean, pragmatic design.
- [awesome-django](https://github.com/wsvincent/awesome-django)
- [bottle](https://github.com/bottlepy/bottle) - A fast and simple micro-framework distributed as a single file with no dependencies.
- [pyramid](https://github.com/Pylons/pyramid) - A small, fast, down-to-earth, open source Python web framework.
- [fasthtml](https://github.com/AnswerDotAI/fasthtml) - The fastest way to create an HTML app.
- Asynchronous
- [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.
- [litestar](https://github.com/litestar-org/litestar) - Production-ready, capable and extensible ASGI web framework.
- [reflex](https://github.com/reflex-dev/reflex) - A framework for building reactive, full-stack web applications entirely with Python.
### Web APIs
_Libraries for building RESTful, GraphQL, and RPC APIs._
- Django
- [django-rest-framework](https://github.com/encode/django-rest-framework) - A powerful and flexible toolkit to build web APIs.
- [django-ninja](https://github.com/vitalik/django-ninja) - Fast, Django REST framework based on type hints and Pydantic.
- [strawberry-django](https://github.com/strawberry-graphql/strawberry-django) - Strawberry GraphQL integration with Django.
- [django-modern-rest](https://github.com/wemake-services/django-modern-rest) - Modern REST with speed, types, async, `msgspec`, `pydantic` and other goodies.
- Flask
- [flask-restx](https://github.com/python-restx/flask-restx) - Fully featured framework for fast, easy and documented API development with Flask.
- [flask-smorest](https://github.com/marshmallow-code/flask-smorest) - A Flask/Marshmallow-based REST API framework with automatic OpenAPI documentation.
- [apiflask](https://github.com/apiflask/apiflask) - A lightweight Python web API framework based on Flask, supporting marshmallow schemas and Pydantic models.
- Framework Agnostic
- [fastapi](https://github.com/fastapi/fastapi) - A modern, fast web framework for building APIs with standard Python type hints.
- [strawberry](https://github.com/strawberry-graphql/strawberry) - A GraphQL library that leverages Python type annotations for schema definition.
- [connexion](https://github.com/spec-first/connexion) - A spec-first framework that handles requests based on your OpenAPI specification.
- RPC
- [grpcio](https://github.com/grpc/grpc) - HTTP/2-based RPC framework with Python bindings, built by Google.
### Web Servers
_ASGI and WSGI compatible web servers._
- ASGI
- [uvicorn](https://github.com/Kludex/uvicorn) - A lightning-fast ASGI server implementation.
- [granian](https://github.com/emmett-framework/granian) - A Rust HTTP server for Python apps built on 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.
- WSGI
- [gunicorn](https://github.com/benoitc/gunicorn) - A pre-fork WSGI server with a native ASGI worker, ported from Ruby's Unicorn project.
- [waitress](https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid.
### WebSocket
_Libraries for working with WebSocket._
- [websockets](https://github.com/python-websockets/websockets) - A library for building WebSocket servers and clients with a focus on correctness and simplicity.
- [channels](https://github.com/django/channels) - Brings WebSocket, long-poll HTTP, and other async support to Django.
- [flask-socketio](https://github.com/miguelgrinberg/Flask-SocketIO) - Socket.IO integration for Flask applications.
- [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
### Template Engines
_Libraries for rendering text and HTML from templates._
- [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, storing, compressing and minifying website assets._
- [whitenoise](https://github.com/evansd/whitenoise) - Simplified static file serving for WSGI apps, with compression and caching headers.
- [django-storages](https://github.com/jschneier/django-storages) - A collection of custom storage back ends for Django.
- [django-compressor](https://github.com/django-compressor/django-compressor) - Compresses linked and inline JavaScript or CSS into a single cached file.
### Authentication
_Libraries for implementing authentication schemes._
- OAuth
- [oauthlib](https://github.com/oauthlib/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic.
- [authlib](https://github.com/authlib/authlib) - A comprehensive library for building OAuth, OpenID Connect, and JWT/JWS/JWE/JWK/JWA.
- [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) - An OAuth 2.0 authorization server for Django.
- 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 for object-level permissions in Django, without a database.
### Admin Panels
_Libraries for administrative interfaces._
- [flask-admin](https://github.com/pallets-eco/flask-admin) - Simple and extensible administrative interface framework for Flask.
- [django-unfold](https://github.com/unfoldadmin/django-unfold) - A modern Django admin theme for building dashboards, internal tools, and business applications.
- [sqladmin](https://github.com/smithyhq/sqladmin) - An admin interface for SQLAlchemy models in FastAPI and Starlette.
- [django-grappelli](https://github.com/sehmaschine/django-grappelli) - A jazzy skin for the Django Admin-Interface.
### CMS
_Content Management Systems._
- [wagtail](https://github.com/wagtail/wagtail) - A Django content management system.
- [django-cms](https://github.com/django-cms/django-cms) - The easy-to-use and developer-friendly enterprise CMS powered by Django.
### ERP
_Enterprise resource planning frameworks._
- [odoo](https://github.com/odoo/odoo) - A suite of open source business apps: CRM, e-commerce, accounting, inventory, and thousands of community modules.
### Static Site Generators
_A static site generator is software that takes text and templates as input and produces HTML files as output._
- [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
- [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
**HTTP & Scraping**
### HTTP Clients
_Libraries for working with HTTP._
- General
- [requests](https://github.com/psf/requests) - HTTP Requests for Humans.
- [aiohttp](https://github.com/aio-libs/aiohttp) - Asynchronous HTTP client/server framework for asyncio and Python.
- [httpx2](https://github.com/pydantic/httpx2) - HTTP/1.1 and HTTP/2 client with sync and async APIs, maintained by Pydantic ([httpx](https://github.com/encode/httpx) fork).
- [urllib3](https://github.com/urllib3/urllib3) - An HTTP library with thread-safe connection pooling, file post, and more.
- [httpx](https://github.com/encode/httpx) - A next-generation HTTP client for Python.
- URL Manipulation
- [yarl](https://github.com/aio-libs/yarl) - Yet another URL library.
### 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.
- [scrapy](https://github.com/scrapy/scrapy) - A fast high-level web crawling and scraping framework.
- [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.
- [stagehand](https://github.com/browserbase/stagehand) - A fast and token-efficient browser automation SDK to extract data and perform self-healing actions on web pages.
- [scrapling](https://github.com/D4Vinci/Scrapling) - An adaptive scraping framework whose selectors relocate elements after page changes, with stealth fetchers and spiders.
- Content Extraction
- [markdownify](https://github.com/matthewwithanm/python-markdownify) - Convert HTML to Markdown, with customizable tag handling.
- [feedparser](https://github.com/kurtmckee/feedparser) - Universal feed parser.
- [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 email._
- [aiosmtplib](https://github.com/cole/aiosmtplib) - An asyncio SMTP client.
- [django-anymail](https://github.com/anymail/django-anymail) - Django email backends and webhooks for transactional email services such as Amazon SES, Brevo, Mailgun, Postmark, and Resend.
- [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
- [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) - The Python SQL Toolkit and Object Relational Mapper.
- [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
- [django.db.models](https://github.com/django/django) - (part of Django) The Django [ORM](https://docs.djangoproject.com/en/stable/topics/db/models/).
- [peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
- [sqlmodel](https://github.com/fastapi/sqlmodel) - SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy.
- NoSQL Databases
- [pynamodb](https://github.com/pynamodb/PynamoDB) - A Pythonic interface for [Amazon DynamoDB](https://aws.amazon.com/dynamodb/).
- [mongoengine](https://github.com/MongoEngine/mongoengine) - A Python object-document mapper for working with MongoDB.
- [beanie](https://github.com/BeanieODM/beanie) - An asynchronous Python object-document mapper (ODM) for MongoDB.
- [django-mongodb-backend](https://github.com/mongodb/django-mongodb-backend) - Official MongoDB database backend for Django.
### Database Drivers
_Libraries for connecting and operating databases._
- MySQL - [awesome-mysql](https://github.com/shlomi-noach/awesome-mysql)
- [pymysql](https://github.com/PyMySQL/PyMySQL) - A pure-Python MySQL and MariaDB client library, based on PEP 249.
- [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL and MariaDB connector ([MySQLdb1](https://github.com/farcepest/MySQLdb1) fork).
- PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
- [psycopg](https://github.com/psycopg/psycopg) - A PostgreSQL adapter for Python, the successor to psycopg2.
- [asyncpg](https://github.com/MagicStack/asyncpg) - A fast PostgreSQL database client library for Python/asyncio.
- [pgvector](https://github.com/pgvector/pgvector-python) - pgvector support for Python, adding vector types and similarity search to psycopg, asyncpg, SQLAlchemy, and Django.
- SQLite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
- [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQLite interface compliant with DB-API 2.0.
- [apsw](https://github.com/rogerbinns/apsw) - Another Python SQLite Wrapper, exposing the complete SQLite C API.
- [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
- ClickHouse
- [clickhouse-connect](https://github.com/ClickHouse/clickhouse-connect) - The official ClickHouse client, with SQLAlchemy and Superset connectors.
- [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.
- Other Relational Databases
- [pyodbc](https://github.com/mkleehammer/pyodbc) - An ODBC bridge for connecting to SQL Server and any other ODBC-accessible database.
- [oracledb](https://github.com/oracle/python-oracledb) - The official Python driver for Oracle Database, successor to cx_Oracle.
- [mssql-python](https://github.com/microsoft/mssql-python) - Official Microsoft driver for SQL Server and Azure SQL, built on ODBC for high performance.
- NoSQL Databases
- [redis](https://github.com/redis/redis-py) - The Python client for Redis.
- [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
- [cassandra-driver](https://github.com/apache/cassandra-python-driver) - The Python driver for Apache Cassandra.
### Database
_In-process databases usable directly from Python._
- Analytical
- [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.
- [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()`.
- Vector
- [lancedb](https://github.com/lancedb/lancedb) - A developer-friendly embedded retrieval database for multimodal AI.
- [chromadb](https://github.com/chroma-core/chroma) - An open-source embedding database for building AI applications with semantic search.
- [zvec](https://github.com/alibaba/zvec) - A lightweight, in-process vector database that embeds directly into applications.
- Key-Value & Document
- [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
### Caching
_Libraries for caching data._
- General
- [cachetools](https://github.com/tkem/cachetools) - Extensible memoizing collections and decorators.
- [diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file-backed cache backend, compatible with Django.
- [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) - A caching API for Redis, Memcached, and others, with coordinated value regeneration.
- HTTP Responses
- [hishel](https://github.com/karpetrosyan/hishel) - RFC 9111-compliant HTTP caching for clients like httpx and requests and servers like FastAPI, with sync and async support.
- Django
- [django-redis](https://github.com/jazzband/django-redis) - Full-featured Redis cache backend for Django.
- [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation.
### Search
_Libraries and software for indexing and performing search queries on data._
- Full-Text Search
- [opensearch-py](https://github.com/opensearch-project/opensearch-py) - The official low-level Python client for [OpenSearch](https://opensearch.org/).
- [elasticsearch](https://github.com/elastic/elasticsearch-py) - The official low-level Python client for [Elasticsearch](https://www.elastic.co/elasticsearch).
- [meilisearch](https://github.com/meilisearch/meilisearch-python) - The official Python client for the [Meilisearch](https://www.meilisearch.com/) search engine.
- [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django.
- Vector Search
- [faiss-cpu](https://github.com/facebookresearch/faiss) - A library for efficient similarity search and clustering of dense vectors.
### Serialization
_Libraries for serializing complex data types._
- Data Formats
- [msgpack](https://github.com/msgpack/msgpack-python) - MessagePack serializer implementation for Python.
- [orjson](https://github.com/ijl/orjson) - Fast, correct JSON library.
- [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
- [msgspec](https://github.com/msgspec/msgspec) - A fast serialization and validation library supporting JSON, MessagePack, YAML, and TOML.
- Object Pickling
- [cloudpickle](https://github.com/cloudpipe/cloudpickle) - Extends pickle to functions, lambdas, and interactively defined classes, for shipping code to remote workers.
- [dill](https://github.com/uqfoundation/dill) - Extends pickle to serialize almost any object, including closures and interpreter sessions.
**Data & Science**
### Data Analysis
_Libraries for data analysis._
- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
- [ibis-framework](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
### Data Ingestion / ETL
_Libraries for data extraction, transformation, and loading pipelines across multiple sources and destinations._
- General
- [awswrangler](https://github.com/aws/aws-sdk-pandas) - Pandas integration with AWS services like Athena, Glue, Redshift, S3, and DynamoDB.
- [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
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, with data provided for academic research only.
- [edgartools](https://github.com/dgunning/edgartools) - Downloads SEC EDGAR filings and XBRL financial statements as structured data.
- [openbb](https://github.com/openbq-org/OpenBB) - A financial data platform for analysts, quants and AI agents.
### Data Validation
_Libraries for validating data._
- [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
- [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](https://json-schema.org/) for Python.
- [great-expectations](https://github.com/fivetran/great_expectations) - A data quality framework for validating, documenting, and profiling data with declarative expectations.
- [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, PySpark, and more.
### Data Visualization
_Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization)._
- Plotting
- [matplotlib](https://github.com/matplotlib/matplotlib) - A comprehensive library for creating static, animated, and interactive visualizations.
- [plotly](https://github.com/plotly/plotly.py) - Interactive graphing library for Python.
- [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib.
- [altair](https://github.com/vega/altair) - Declarative statistical visualization library for Python.
- [bokeh](https://github.com/bokeh/bokeh) - Interactive web plotting for Python.
- Specialized
- [graphviz](https://github.com/xflr6/graphviz) - Simple Python interface for creating and rendering Graphviz graphs.
- [cartopy](https://github.com/SciTools/cartopy) - A cartographic Python library with matplotlib support.
- [graphify](https://github.com/Graphify-Labs/graphify) - Turns code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph.
- Dashboards and Apps
- [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
- [dash](https://github.com/plotly/dash) - A framework for building data apps and dashboards in pure Python, built on Plotly.
- [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
### Geolocation
_Libraries for geocoding addresses and working with latitudes and longitudes._
- [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.
- [geojson](https://github.com/jazzband/geojson) - Python bindings and utilities for GeoJSON.
- [geodjango](https://github.com/django/django) - (part of Django) A world-class [geographic web framework](https://docs.djangoproject.com/en/stable/ref/contrib/gis/).
### Science
_Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists)._
- Core
- [numpy](https://github.com/numpy/numpy) - A fundamental package for scientific computing with Python.
- [scipy](https://github.com/scipy/scipy) - Fundamental algorithms for scientific computing in Python.
- [numba](https://github.com/numba/numba) - A NumPy-aware JIT compiler for Python, using LLVM.
- Symbolic Mathematics
- [sympy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
- Statistics
- [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
- Biology and Chemistry
- [rdkit](https://github.com/rdkit/rdkit) - Cheminformatics and machine learning software.
- [biopython](https://github.com/biopython/biopython) - Biopython is a set of freely available tools for biological computation.
- Physics and Engineering
- [pint](https://github.com/hgrecco/pint) - Operate and manipulate physical quantities with units and dimensional analysis.
- [astropy](https://github.com/astropy/astropy) - A community Python library for astronomy.
- [obspy](https://github.com/obspy/obspy) - A Python toolbox for seismology.
- Simulation and Modeling
- [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.
- [mesa](https://github.com/mesa/mesa) - An agent-based modeling framework for building, analyzing, and visualizing complex system simulations.
- Graphs and Networks
- [networkx](https://github.com/networkx/networkx) - High-productivity software for complex networks.
- Computational Geometry
- [shapely](https://github.com/shapely/shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
- Other
- [colour-science](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.
### Quantum Computing
_Libraries for quantum computing._
- [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.
- [pennylane](https://github.com/PennyLaneAI/pennylane) - A cross-platform library for quantum computing, quantum ML, and quantum chemistry.
- [cirq](https://github.com/quantumlib/Cirq) - A Google-developed framework focused on hardware-aware quantum circuit design for NISQ devices.
**Developer Tools**
### Algorithms and Design Patterns
_Python implementations of data structures, algorithms and design patterns. Also see [awesome-algorithms](https://github.com/tayllan/awesome-algorithms)._
- Algorithms
- [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast and pure-Python implementation of sorted collections.
- [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms.
- [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 and idioms in Python.
- [python-statemachine](https://github.com/fgmacedo/python-statemachine) - Expressive statecharts and finite state machines with a declarative API, in sync and async codebases.
### Interactive Interpreter
_Interactive Python interpreters (REPL)._
- [ipython](https://github.com/ipython/ipython) - A powerful interactive Python shell, and the kernel behind Jupyter notebooks.
- [notebook](https://github.com/jupyter/notebook) - A web-based notebook environment for interactive computing.
- [awesome-jupyter](https://github.com/markusschanta/awesome-jupyter)
- [marimo](https://github.com/marimo-team/marimo) - A reactive notebook for Python, stored as pure Python and runnable as a script or app.
- [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 for static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/analysis-tools-dev/static-analysis)._
- General
- [import-linter](https://github.com/seddonym/import-linter) - A linter that enforces architectural constraints on imports between Python modules.
- [vulture](https://github.com/jendrikseipp/vulture) - A tool for finding and analyzing dead Python code.
- [complexipy](https://github.com/rohaquinlop/complexipy) - Cognitive complexity analysis for Python code, written in Rust.
- [prospector](https://github.com/prospector-dev/prospector) - A tool to analyze Python code.
- Git Hooks
- [pre-commit](https://github.com/pre-commit/pre-commit) - A framework for managing and maintaining multi-language pre-commit hooks.
- Linters and Formatters
- [ruff](https://github.com/astral-sh/ruff) - An extremely fast Python linter and code formatter.
- [black](https://github.com/psf/black) - The uncompromising Python code formatter.
- [isort](https://github.com/PyCQA/isort) - A Python utility / library to sort imports.
- [pylint](https://github.com/pylint-dev/pylint) - A fully customizable source code analyzer.
- [flake8](https://github.com/PyCQA/flake8) - A wrapper around `pycodestyle`, `pyflakes` and McCabe.
- [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions)
- [bandit](https://github.com/PyCQA/bandit) - A tool designed to find common security issues in Python code.
- Refactoring
- [rope](https://github.com/python-rope/rope) - Rope is a Python refactoring library.
- [ast-grep-cli](https://github.com/ast-grep/ast-grep) - A CLI tool for structural code search, linting, and rewriting based on syntax trees.
- Type Checkers - [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing)
- [mypy](https://github.com/python/mypy) - A static type checker for Python.
- [ty](https://github.com/astral-sh/ty) - An extremely fast Python type checker and language server.
- [pyright](https://github.com/microsoft/pyright) - Full-featured static type checker for Python from Microsoft, the engine behind Pylance.
- [pyrefly](https://github.com/meta/pyrefly) - A fast type checker and language server for Python.
### Testing
_Libraries for testing codebases and generating test data. Also see [awesome-python-testing](https://github.com/cleder/awesome-python-testing)._
- Frameworks
- [pytest](https://github.com/pytest-dev/pytest) - A mature full-featured Python testing tool.
- [awesome-pytest](https://github.com/augustogoulart/awesome-pytest)
- [hypothesis](https://github.com/HypothesisWorks/hypothesis) - Hypothesis is an advanced QuickCheck-style property-based testing library.
- [robotframework](https://github.com/robotframework/robotframework) - A generic test automation framework.
- Test Runners
- [tox](https://github.com/tox-dev/tox) - Automatically builds and tests distributions in multiple Python versions.
- [nox](https://github.com/wntrblm/nox) - Flexible test automation for Python.
- Browser Automation
- [playwright-python](https://github.com/microsoft/playwright-python) - Python version of the Playwright testing and automation library.
- [selenium](https://github.com/SeleniumHQ/selenium) - Python bindings for [Selenium](https://selenium.dev/) [WebDriver](https://selenium.dev/documentation/webdriver/).
- [seleniumbase](https://github.com/seleniumbase/SeleniumBase) - Python framework for web automation & testing, with stealth options.
- Load Testing
- [locust](https://github.com/locustio/locust) - Scalable user load testing tool written in Python.
- API Testing
- [schemathesis](https://github.com/schemathesis/schemathesis) - Automatic property-based testing of web APIs from OpenAPI or GraphQL schemas.
- Mock
- [unittest.mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library.
- [responses](https://github.com/getsentry/responses) - A utility library for mocking out the requests Python library.
- [vcrpy](https://github.com/kevin1024/vcrpy) - Record and replay HTTP interactions in your tests.
- [respx](https://github.com/lundberg/respx) - Mock HTTPX with awesome request patterns and response side effects.
- [time-machine](https://github.com/adamchainz/time-machine) - Travel through time in your tests by mocking the current time at the C level.
- Object Factories
- [factory-boy](https://github.com/FactoryBoy/factory_boy) - A test fixtures replacement for Python.
- [polyfactory](https://github.com/litestar-org/polyfactory) - A mock data generation library based on type hints (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) - A Python library for generating fake but realistic data in multiple languages and locales.
### 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
- [viztracer](https://github.com/gaogaotiantian/viztracer) - A low-overhead tool that traces and visualizes Python code execution.
- Profiler
- [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust.
- [memray](https://github.com/bloomberg/memray) - Tracks memory allocations in Python code, native extensions, and the interpreter itself.
- [pyinstrument](https://github.com/joerick/pyinstrument) - A statistical wall-clock profiler with low overhead and readable call-tree output.
- [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.
- [django-silk](https://github.com/jazzband/django-silk) - Live profiling and inspection of HTTP requests and database queries for Django.
- [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call.
- [flask-debugtoolbar](https://github.com/pallets-eco/flask-debugtoolbar) - A port of the django-debug-toolbar to Flask.
### Build Tools
_Task runners and software build tools. If you're looking for Python packaging/build tools, see [Package Management](#package-management)._
- [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
- [poethepoet](https://github.com/nat-n/poethepoet) - A task runner that defines tasks in pyproject.toml and works with poetry or uv.
- [scons](https://github.com/SCons/scons) - A software construction tool.
- [doit](https://github.com/pydoit/doit) - A task runner and build 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)
- [mkdocs-material](https://github.com/squidfunk/mkdocs-material) - A documentation framework and Material Design theme built on MkDocs.
- [diagrams](https://github.com/mingrammer/diagrams) - Diagram as Code.
- [pdoc](https://github.com/mitmproxy/pdoc) - Auto-generates API documentation for Python projects.
- [zensical](https://github.com/zensical/zensical) - A modern static site generator for technical documentation.
**DevOps**
### DevOps Tools
_Software and libraries for DevOps._
- Cloud Providers
- [boto3](https://github.com/boto/boto3) - Python interface to Amazon Web Services.
- [awscli](https://github.com/aws/aws-cli) - Universal Command Line Interface for Amazon Web Services; the PyPI package is v1, in maintenance mode, while v2 ships as AWS's bundled installer.
- [azure-sdk-for-python](https://github.com/Azure/azure-sdk-for-python) - Microsoft Azure SDK for Python, published as per-service packages.
- [google-cloud-python](https://github.com/googleapis/google-cloud-python) - Google Cloud client libraries for Python, published as per-service packages.
- Configuration Management
- [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform.
- [cloud-init](https://github.com/canonical/cloud-init) - A multi-distribution package that handles early initialization of a cloud instance.
- [pyinfra](https://github.com/pyinfra-dev/pyinfra) - Turns Python code into shell commands and runs them on your servers.
- [salt](https://github.com/saltstack/salt) - Infrastructure automation and management system.
- Deployment
- [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment.
- [chalice](https://github.com/aws/chalice) - A Python serverless microframework for AWS.
- Monitoring and Processes
- [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module.
- [sentry-sdk](https://github.com/getsentry/sentry-python) - Sentry SDK for Python.
- [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX.
- [flower](https://github.com/mher/flower) - A real-time monitor and web admin for Celery task queues.
- [sh](https://github.com/amoffat/sh) - A full-fledged subprocess replacement for Python.
- Other
- [borgbackup](https://github.com/borgbackup/borg) - A deduplicating archiver with compression and encryption.
### Distributed Computing
_Frameworks and libraries for distributed computing._
- [pyspark](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/) Python API.
- [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.
- [ray](https://github.com/ray-project/ray) - A unified framework for scaling AI and Python applications.
- [joblib](https://github.com/joblib/joblib) - Parallel computing and disk-based caching for Python functions.
- [mpi4py](https://github.com/mpi4py/mpi4py) - Python bindings for MPI.
### 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.
- [rq](https://github.com/rq/rq) - Simple job queues for Python.
- [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.
- [huey](https://github.com/coleifer/huey) - A little task queue with multi-process, multi-thread, or greenlet workers.
- [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._
- [confluent-kafka](https://github.com/confluentinc/confluent-kafka-python) - Confluent's Python client for Apache Kafka, built on librdkafka.
- [pika](https://github.com/pika/pika) - Pure-Python RabbitMQ/AMQP 0-9-1 client library.
- [paho-mqtt](https://github.com/eclipse-paho/paho.mqtt.python) - The Eclipse Paho MQTT client for Python.
- [faststream](https://github.com/ag2ai/faststream) - A framework for building async services over Kafka, RabbitMQ, NATS, MQTT, and Redis.
### Job Schedulers
_Libraries for scheduling jobs._
- Task Scheduling
- [apscheduler](https://github.com/agronholm/apscheduler) - A light but powerful in-process task scheduler that lets you schedule functions.
- [schedule](https://github.com/dbader/schedule) - Python job scheduling for humans.
- Workflow Orchestration
- [temporalio](https://github.com/temporalio/sdk-python) - Temporal SDK for durable, fault-tolerant workflows that survive crashes and retries.
- [dagster](https://github.com/dagster-io/dagster) - An orchestration platform for the development, production, and observation of data assets.
- [apache-airflow](https://github.com/apache/airflow) - Airflow is a platform to programmatically author, schedule and monitor workflows.
- [prefect](https://github.com/PrefectHQ/prefect) - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines.
### Logging
_Libraries for generating and working with logs._
- [logging](https://docs.python.org/3/library/logging.html) - (Python standard library) Logging facility for Python.
- [structlog](https://github.com/hynek/structlog) - Structured logging made easy.
- [loguru](https://github.com/Delgan/loguru) - A library that aims to bring enjoyable logging to Python.
- [logfire](https://github.com/pydantic/logfire) - The observability platform for Python, from the makers of Pydantic.
### Network Virtualization
_Tools and libraries for packet manipulation and network device automation._
- [scapy](https://github.com/secdev/scapy) - A brilliant packet manipulation library.
- [netmiko](https://github.com/ktbyers/netmiko) - Multi-vendor library to simplify CLI connections to network devices.
- [napalm](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices.
**CLI & GUI**
### CLI Development
_Libraries for building command-line applications._
- General
- [argparse](https://docs.python.org/3/library/argparse.html) - (Python standard library) Command-line option and argument parsing.
- [click](https://github.com/pallets/click) - A package for creating beautiful command-line interfaces in a composable way.
- [typer](https://github.com/fastapi/typer) - Modern CLI framework that uses Python type hints. Built on Click.
- [prompt_toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit) - A library for building powerful interactive command lines.
- [cyclopts](https://github.com/BrianPugh/cyclopts) - Build CLIs from type-hinted functions, with docstring-based help.
- Terminal Rendering
- [rich](https://github.com/Textualize/rich) - Python library for rich text and beautiful formatting in the terminal. Also provides a great `RichHandler` log handler.
- [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and CLI.
- [colorama](https://github.com/tartley/colorama) - Cross-platform colored terminal text.
- [alive-progress](https://github.com/rsalmei/alive-progress) - A new kind of progress bar, with real-time throughput, ETA and very cool animations.
- TUI Frameworks
- [textual](https://github.com/Textualize/textual) - A framework for building interactive user interfaces that run in the terminal and the browser.
- [urwid](https://github.com/urwid/urwid) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
- [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations).
### CLI Tools
_Useful CLI-based tools._
- Database CLIs
- [pgcli](https://github.com/dbcli/pgcli) - PostgreSQL CLI with autocompletion and syntax highlighting.
- [mycli](https://github.com/dbcli/mycli) - MySQL CLI with autocompletion and syntax highlighting.
- [litecli](https://github.com/dbcli/litecli) - SQLite CLI with autocompletion and syntax highlighting.
- [iredis](https://github.com/laixintao/iredis) - Redis CLI with autocompletion and syntax highlighting.
- Downloaders
- [yt-dlp](https://github.com/yt-dlp/yt-dlp) - A command-line video downloader for YouTube and other sites, a fork of youtube-dl.
- HTTP Clients
- [httpie](https://github.com/httpie/cli) - A command-line HTTP client, a user-friendly cURL replacement.
- Project Scaffolding
- [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 project templates.
- Shells
- [xonsh](https://github.com/xonsh/xonsh) - A Python-powered shell. Full-featured and cross-platform.
- Terminal Workflow
- [tmuxp](https://github.com/tmux-python/tmuxp) - A [tmux](https://github.com/tmux/tmux) session manager.
### GUI Development
_Libraries for working with graphical user interface applications._
- Desktop
- [PyGObject](https://github.com/GNOME/pygobject) - Python bindings for GLib/GObject/GIO/GTK.
- [dearpygui](https://github.com/hoffstadt/DearPyGui) - A simple GPU-accelerated Python GUI framework.
- [Kivy](https://github.com/kivy/kivy) - An open-source cross-platform GUI framework for desktop, mobile, and embedded devices.
- [wxPython](https://github.com/wxWidgets/Phoenix) - A cross-platform GUI toolkit that wraps the wxWidgets C++ library.
- [toga](https://github.com/beeware/toga) - A Python-native, OS-native GUI toolkit.
- Qt
- [PySide6](https://github.com/pyside/pyside-setup) - Qt for Python offers the official Python bindings for [Qt](https://www.qt.io/), largely API-compatible with PyQt6 but with different licensing.
- [PyQt6](https://www.riverbankcomputing.com/static/Docs/PyQt6/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
- Tkinter
- [tkinter](https://docs.python.org/3/library/tkinter.html) - (Python standard library) The standard Python interface to the Tcl/Tk GUI toolkit.
- [customtkinter](https://github.com/tomschimansky/customtkinter) - A modern and customizable Python UI library based on Tkinter.
- Web-based
- [pywebview](https://github.com/r0x0r/pywebview) - A lightweight cross-platform native wrapper around a webview component.
- [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
- [flet](https://github.com/flet-dev/flet) - Cross-platform GUI framework for building modern apps in pure Python.
**Text & Documents**
### Text Processing
_Libraries for parsing and manipulating plain text._
- Encoding and Unicode
- [charset-normalizer](https://github.com/jawah/charset_normalizer) - Universal character encoding detector, and a dependency of requests.
- [chardet](https://github.com/chardet/chardet) - Python character encoding detector.
- [ftfy](https://github.com/rspeer/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
- Fuzzy Matching
- [rapidfuzz](https://github.com/rapidfuzz/RapidFuzz) - Rapid fuzzy string matching using various string metrics, with a C++ core.
- General
- [difflib](https://docs.python.org/3/library/difflib.html) - (Python standard library) Helpers for computing deltas.
- [pyfiglet](https://github.com/pwaller/pyfiglet) - An implementation of figlet written in Python.
- Internationalization
- [babel](https://github.com/python-babel/babel) - An internationalization library for Python.
- Parser
- [pygments](https://github.com/pygments/pygments) - A generic syntax highlighter.
- [pyparsing](https://github.com/pyparsing/pyparsing) - A Python library for creating PEG parsers.
- [sqlparse](https://github.com/andialbrecht/sqlparse) - A non-validating SQL parser.
- [phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers.
- [parsy](https://github.com/python-parsy/parsy) - Easy, generic parser combinator library for creating parsers.
- Transliteration and Slugs
- [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII.
- [unidecode](https://github.com/avian2/unidecode) - ASCII transliterations of Unicode text.
- Unique identifiers
- [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
### HTML Manipulation
_Libraries for working with HTML and XML._
- [lxml](https://github.com/lxml/lxml) - A very fast, easy-to-use and versatile library for handling HTML and XML.
- [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML.
- [xmltodict](https://github.com/martinblech/xmltodict) - Makes working with XML feel like working with JSON.
- [markupsafe](https://github.com/pallets/markupsafe) - Safely adds untrusted strings to HTML/XML markup.
- [justhtml](https://github.com/EmilStenstrom/justhtml) - A pure Python HTML5 parser that sanitizes untrusted HTML by default.
### File Format Processing
_Libraries for parsing and manipulating specific file formats._
- General
- [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.
- File Conversion
- [markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.
- [pypandoc](https://github.com/JessicaTegner/pypandoc) - A thin wrapper for pandoc, the universal document converter.
- [docling](https://github.com/docling-project/docling) - Library for converting documents into structured data.
- Excel
- [openpyxl](https://openpyxl.readthedocs.io/en/stable/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
- [xlsxwriter](https://github.com/jmcnamara/XlsxWriter) - A Python module for creating Excel .xlsx files.
- Word
- [python-docx](https://github.com/python-openxml/python-docx) - Creates, reads, and updates Microsoft Word (.docx) files.
- PowerPoint
- [python-pptx](https://github.com/scanny/python-pptx) - Python library for creating and updating PowerPoint (.pptx) files.
- PDF
- [pypdf](https://github.com/py-pdf/pypdf) - A library capable of splitting, merging, cropping, and transforming PDF pages.
- [pymupdf](https://github.com/pymupdf/PyMuPDF) - A fast MuPDF-based library for extracting, rendering, and editing PDFs and other documents.
- [reportlab](https://docs.reportlab.com/) - An open-source library for generating PDFs and graphics.
- [pdfminer.six](https://github.com/pdfminer/pdfminer.six) - A community-maintained fork of PDFMiner for extracting information from PDF documents.
- HTML-to-PDF
- [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.
- [mistune](https://github.com/lepture/mistune) - A fast yet powerful Python Markdown parser with renderers and plugins.
- Data Formats
- [tomllib](https://docs.python.org/3/library/tomllib.html) - (Python standard library) Parse TOML files.
- [pyyaml](https://github.com/yaml/pyyaml) - A full-featured YAML framework for Python.
### File Manipulation
_Libraries for file manipulation._
- Paths and File Watching
- [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) A cross-platform, object-oriented path library.
- [watchfiles](https://github.com/samuelcolvin/watchfiles) - Simple, modern and fast file watching and code reload in Python.
- [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
- File Type Detection
- [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
- [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
- [magika](https://github.com/google/magika) - Detects file content types with a deep-learning model.
**Media**
### Image Processing
_Libraries for manipulating images._
- Barcodes and QR Codes
- [qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.
- [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
- General
- [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](https://pillow.readthedocs.io/en/stable/about.html) fork.
- [scikit-image](https://github.com/scikit-image/scikit-image) - A Python library for (scientific) image processing.
- [rembg](https://github.com/danielgatis/rembg) - A tool to remove image backgrounds.
- [wand](https://github.com/emcconville/wand) - Python bindings for [MagickWand](https://imagemagick.org/magick-wand/), C API for ImageMagick.
- [pyvips](https://github.com/libvips/pyvips) - A binding for libvips, a fast image processing library with low memory needs.
- Image Serving
- [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, resizing and flipping of images.
### Audio & Video Processing
_Libraries for manipulating audio, video, and their metadata._
- Audio
- [soundfile](https://github.com/bastibe/python-soundfile) - An audio library for reading and writing sound files, based on libsndfile, CFFI, and NumPy.
- [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
- [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy, high-level interface.
- Video
- [av](https://github.com/PyAV-Org/PyAV) - Pythonic bindings for FFmpeg's libraries.
- [moviepy](https://github.com/Zulko/moviepy) - A module for script-based movie editing with many formats, including animated GIFs.
- Metadata
- [mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata.
- [tinytag](https://github.com/tinytag/tinytag) - A library for reading audio file metadata of MP3, MP4, WAV, OGG, FLAC, WMA, and AIFF files.
- [beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger.
### Game Development
_Awesome game development libraries._
- 3D Engines
- [panda3d](https://github.com/panda3d/panda3d) - 3D game engine developed jointly by Disney and contributors from around the world.
- Game Frameworks
- [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python.
- [pygame-ce](https://github.com/pygame-community/pygame-ce) - An actively developed drop-in replacement with new features and performance improvements ([pygame](https://github.com/pygame/pygame) fork).
- [pygame](https://github.com/pygame/pygame) - Pygame is a set of Python modules designed for writing games.
- [arcade](https://github.com/pythonarcade/arcade) - An easy-to-use library for creating 2D arcade games.
- Visual Novels
- [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.
- [micropython](https://github.com/micropython/micropython) - A lean and efficient Python implementation for microcontrollers and constrained systems.
- [pypy](https://github.com/pypy/pypy) - A very fast and compliant implementation of the Python language.
- [Cython](https://github.com/cython/cython) - Optimizing static compiler for Python.
- [pyodide](https://github.com/pyodide/pyodide) - Python distribution for the browser and Node.js based on WebAssembly.
### 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.
- [uuid-utils](https://github.com/aminalaee/uuid-utils) - A fast, Rust-backed drop-in replacement for Python's built-in `uuid` module.
- [python-box](https://github.com/cdgriffith/Box) - Python dictionaries with advanced dot notation access.
### Functional Programming
_Functional Programming with Python._
- [functools](https://docs.python.org/3/library/functools.html) - (Python standard library) Higher-order functions and operations on callable objects.
- [more-itertools](https://github.com/more-itertools/more-itertools) - More routines for operating on iterables, beyond `itertools`.
- [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.
- [funcy](https://github.com/Suor/funcy) - Fancy and practical functional tools.
- [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
### Asynchronous Programming
_Libraries for asynchronous, concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)._
- Async I/O
- [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)
- [anyio](https://github.com/agronholm/anyio) - A high-level async concurrency and networking framework that works on top of asyncio or trio.
- [uvloop](https://github.com/MagicStack/uvloop) - Ultra-fast asyncio event loop.
- [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O.
- [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
- [Twisted](https://github.com/twisted/twisted) - An event-driven networking engine.
- Parallelism
- [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) High-level asynchronous execution of callables.
- [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
### Date and Time
_Libraries for working with dates and times._
- [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-dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module.
- [dateparser](https://github.com/scrapinghub/dateparser) - A Python parser for human-readable dates in over 200 language locales.
- [pendulum](https://github.com/python-pendulum/pendulum) - Python datetimes made easy.
- [whenever](https://github.com/ariebovenberg/whenever) - A modern datetime library, type-safe and DST-safe, in Rust or pure Python.
**Python Toolchain**
### Environment Management
_Libraries for Python version and virtual environment management._
- [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments.
- [uv](https://github.com/astral-sh/uv) - An extremely fast Python version, package and project manager, written in Rust.
- [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management.
- [mise](https://github.com/jdx/mise) - A polyglot tool version manager that installs Python versions and reads .python-version files.
### Package Management
_Libraries for package and dependency management._
- Package Managers
- [pip](https://github.com/pypa/pip) - The package installer for Python.
- [uv](https://github.com/astral-sh/uv) - An extremely fast Python version, package and project manager, written in Rust.
- [poetry](https://github.com/python-poetry/poetry) - Python dependency management and packaging made easy.
- [hatch](https://github.com/pypa/hatch) - Modern, extensible Python project manager for environments, builds, and publishing.
- [pipx](https://github.com/pypa/pipx) - Install and run Python applications in isolated environments. Like `npx` in Node.js.
- [conda](https://github.com/conda/conda) - Cross-platform, Python-agnostic binary package manager.
- Build Backends
- [setuptools](https://github.com/pypa/setuptools) - The historical and still most widely used pyproject build backend.
- [hatchling](https://github.com/pypa/hatch) - Modern, extensible build backend from the hatch project.
- [poetry-core](https://github.com/python-poetry/poetry-core) - Poetry's PEP 517 build backend, usable without Poetry itself.
- [flit-core](https://github.com/pypa/flit) - Minimal, dependency-free build backend for pure-Python packages.
- [uv-build](https://github.com/astral-sh/uv) - uv's fast, minimal build backend for pure-Python projects.
### Package Repositories
_Local PyPI repository servers, proxies, and mirrors._
- [pypiserver](https://github.com/pypiserver/pypiserver) - A minimal PyPI server for uploading and installing packages with pip.
- [devpi](https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool.
- [bandersnatch](https://github.com/pypa/bandersnatch) - PyPI mirroring tool provided by the Python Packaging Authority (PyPA).
### Distribution
_Libraries to create packaged executables for release distribution._
- Executables
- [pyinstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into standalone executables (cross-platform).
- [Nuitka](https://github.com/Nuitka/Nuitka) - Compiles Python programs into high-performance standalone executables (cross-platform).
- [pex](https://github.com/pex-tool/pex) - A tool for building self-contained Python executable environments (PEP 441 zipapps).
- [cx-Freeze](https://github.com/marcelotduarte/cx_Freeze) - Converts Python scripts into standalone executables and installers for Windows, macOS, and Linux.
- Obfuscation
- [pyarmor](https://github.com/dashingsoft/pyarmor) - A tool used to obfuscate Python scripts, bind obfuscated scripts to a fixed machine or expire obfuscated scripts.
### Configuration Files
_Libraries for storing and parsing configuration options._
- [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
- [python-dotenv](https://github.com/theskumar/python-dotenv) - Reads key-value pairs from a `.env` file and sets them as environment variables.
- [pydantic-settings](https://github.com/pydantic/pydantic-settings) - Settings management using Pydantic models with validation, loading from environment variables and secrets files.
- [hydra-core](https://github.com/hydra-ecosystem/hydra) - Hydra is a framework for elegantly configuring complex applications.
- [dynaconf](https://github.com/dynaconf/dynaconf) - Dynaconf is a configuration manager with plugins for Django and Flask.
**Security**
### Cryptography
_Libraries for cryptographic primitives and secure protocols._
- [cryptography](https://github.com/pyca/cryptography) - A package designed to expose cryptographic primitives and recipes to Python developers.
- [pynacl](https://github.com/pyca/pynacl) - Python binding to libsodium, a fork of the Networking and Cryptography (NaCl) library.
- [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library.
- [itsdangerous](https://github.com/pallets/itsdangerous) - Safely pass trusted data to untrusted environments and back.
### 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.
- [impacket](https://github.com/fortra/impacket) - A collection of Python classes for working with network protocols, widely used for Windows and Active Directory testing.
- [sqlmap](https://github.com/sqlmapproject/sqlmap) - Automatic SQL injection and database takeover tool.
- [pwntools](https://github.com/Gallopsled/pwntools) - A CTF framework and exploit development library.
- [sherlock-project](https://github.com/sherlock-project/sherlock) - Hunt down social media accounts by username across social networks.
### Supply Chain Security
_Tools for auditing dependencies against known vulnerabilities and scanning for leaked secrets._
- Dependency Audits
- [pip-audit](https://github.com/pypa/pip-audit) - Audits Python environments and dependency trees for known vulnerabilities, using the Python Packaging Advisory Database or OSV.
- [uv-audit](https://github.com/astral-sh/uv) - (part of uv) uv's [dependency vulnerability scanning](https://docs.astral.sh/uv/reference/cli/#uv-audit) backed by OSV.
- Secret Scanning
- [betterleaks](https://github.com/betterleaks/betterleaks) - Finds leaked secrets in git history, directories, and files, from the original author of gitleaks.
### Web Security
_Libraries for application-layer web security._
- [nh3](https://github.com/messense/nh3) - Python binding to the ammonia HTML sanitizer, a fast replacement for bleach.
- [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._
- [pyserial](https://github.com/pyserial/pyserial) - Python serial port access library for Windows, macOS, Linux, and BSD.
- [pynput](https://github.com/moses-palmer/pynput) - A library to control and monitor input devices.
- [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.
### Microsoft Windows
_Python programming on Microsoft Windows._
- [pywin32](https://github.com/mhammond/pywin32) - Python extensions for Windows.
- [pythonnet](https://github.com/pythonnet/pythonnet) - Python integration with the .NET Common Language Runtime (CLR).
- [pyenv-win](https://github.com/pyenv-win/pyenv-win) - A Python version manager for Windows ([rbenv-win](https://github.com/nak1114/rbenv-win) fork).
- [winpython](https://github.com/winpython/winpython) - Portable Python distribution for Windows.
### 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.
## 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.
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If you have any question about this opinionated list, do not hesitate to contact [@vinta](https://x.com/vinta) on X (Twitter).