Awesome Python llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/awesome-python/llms-txt) # Awesome Python llms.txt Browse Awesome Python documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. awesome-python.com/llms.txt [Raw llms.txt](https://awesome-python.com/llms.txt) [Raw llms-full.txt](https://awesome-python.com/llms-full.txt) Copy Markdown [](https://awesome-python.com/llms.txt) llms.txt Primary Links https://awesome-python.com/ https://github.com/vinta/awesome-python https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md https://awesome-python.com/sponsorship/ https://awesome-python.com/sitemap.xml Categories AI and Agents Deep Learning Machine Learning Natural Language Processing Computer Vision Recommender Systems Web Frameworks Web APIs Web Servers WebSocket Template Engines Web Asset Management Authentication Admin Panels CMS Static Site Generators HTTP Clients Web Scraping Email ORM Database Drivers Database Caching Search Serialization Data Analysis Data Ingestion / ETL Data Validation Data Visualization Geolocation Science Quantum Computing Algorithms and Design Patterns Interactive Interpreter Code Analysis Testing Debugging Tools Build Tools Documentation DevOps Tools Distributed Computing Task Queues Messaging Job Schedulers Logging Network Virtualization CLI Development CLI Tools GUI Development Text Processing HTML Manipulation File Format Processing File Manipulation Image Processing Audio & Video Processing Game Development Implementations Built-in Classes Enhancement Functional Programming Asynchronous Programming Date and Time Environment Management Package Management Package Repositories Distribution Configuration Files Cryptography Penetration Testing Web Security Hardware Microsoft Windows Miscellaneous Projects jax keras pytorch pytorch-lightning stable-baselines3 tensorflow catboost feature_engine h2o lightgbm mindsdb pgmpy scikit-learn scikit-lego Machine Learning library TabGAN timesfm xgboost easyocr fiftyone kornia opencv Google Tesseract OCR ultralytics annoy implicit scikit-surprise asyncio channels flask-socketio picows websockets jinja mako django-compressor django-storages ajenti django-grappelli django-unfold flask-admin flower func-to-web jet-bridge django-cms CERN wagtail lektor nikola pelican aiohttp furl httptap httpx requests urllib3 modoboa yagmail awesome-mysql awesome-postgres awesome-sqlite chdb chromadb duckdb pickledb tinydb ZODB zvec cachetools django-cacheops dogpile.cache python-diskcache django-haystack Elasticsearch Apache Solr marshmallow msgpack orjson cerberus JSON Schema pandera pydantic voluptuous django-countries Django geojson geopandas geopy Cirq pennylane qiskit qutip jupyter marimo python-prompt-toolkit awesome-python-typing bitbake doit invoke platformio pybuilder scons diagrams mkdocs pdoc sphinx celery dramatiq huey rq taskiq faststream airflow apscheduler dagster prefect schedule SpiffWorkflow logfmter logging loguru structlog mininet napalm scapy beautifulsoup html-to-markdown justhtml lxml markupsafe pyquery tinycss2 xmltodict mimetypes pathlib python-magic watchdog watchfiles PIL pymatting python-barcode python-qrcode pyvips scikit-image thumbor MagickWand arcade panda3d py-sdl2 pygame pyopengl renpy cpython cython ironpython micropython pyodide pypy attrs bidict box uuid-utils coconut functools funcy more-itertools returns cytoolz anyio asyncio concurrent.futures greenlet multiprocessing trio twisted uvloop dateparser datetime pendulum tz database KillPy pyenv pyenv-win uv virtualenv conda hatch pip pipx poetry uv bandersnatch devpi warehouse cx-Freeze Nuitka pyarmor pyinstaller shiv configparser dynaconf hydra python-decouple python-dotenv cryptography paramiko pynacl mitmproxy setoolkit sherlock sqlmap secure bleak jumpstarter pynput synology-api pythonnet pywin32 winpython blinker boltons itsdangerous tryton ## What is Awesome Python's llms.txt? Awesome Python publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Awesome Python offers and where to find details. Issues Spec 3 Sections 299 Links 93.9 KB Size ~24.0k Tokens Sections: Primary Links · Categories · Projects ## Add Awesome Python Docs to Your AI Assistant Select your tool to see how to add Awesome Python's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://awesome-python.com/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Awesome Python Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 72 errors ## Frequently Asked Questions Where is Awesome Python's llms.txt file? Awesome Python publishes its llms.txt at https://awesome-python.com/llms.txt. This file provides a structured, markdown-formatted index of Awesome Python's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Awesome Python's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Awesome Python's documentation so it can provide better code suggestions and answers about Awesome Python. What does Awesome Python's llms.txt contain? Awesome Python's llms.txt contains 3 sections and 299 documentation links in 93.9 KB (~24.0k tokens). Key sections include Primary Links, Categories, Projects. How many tokens does Awesome Python's llms.txt use? The concise llms.txt index is approximately 24.0k tokens (93.9 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. What is Awesome Python? The **#10 most-starred repo on GitHub**. Put your product in front of Python developers. [Become a sponsor](SPONSORSHIP.md).. Awesome Python's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Awesome Python. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. 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This documentation site helps developers implement these features.](https://mdream.dev/llms-txt/awesome-python/llms-txt/workos) [Nylas | Powerful Communication APIs Unlock the power of your communications data. The Nylas communication APIs remove complexity & empower teams to create seamless user experiences.](https://mdream.dev/llms-txt/awesome-python/llms-txt/nylas-mail) [View all 99 projects ](https://mdream.dev/llms-txt/awesome-python/llms-txt) ## Related Tools [

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