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A high-throughput and memory-efficient inference and serving engine for LLMs
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Turn (almost) any Python command line program into a full GUI application with one line
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Create web-based user interfaces with Python. The nice way.
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
An open access book on scientific visualization using python and matplotlib
A curated list of awesome things related to Django
An open source multi-tool for exploring and publishing data
Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more. Join o…
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Bayesian Modeling and Probabilistic Programming in Python
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
🕷️ An undetectable, powerful, flexible, high-performance Python library to make Web Scraping Easy and Effortless as it should be!
A debugging and profiling tool that can trace and visualize python code execution
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
Pydoll is a library for automating chromium-based browsers without a WebDriver, offering realistic interactions.
Structured data extraction and instruction calling with ML, LLM and Vision LLM