Lists (4)
Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
Python packaging and dependency management made easy
DSPy: The framework for programming—not prompting—language models
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
🚀 The fast, Pythonic way to build MCP servers and clients
The official Python SDK for Model Context Protocol servers and clients
The interactive graphing library for Python ✨
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.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
E-mails, subdomains and names Harvester - OSINT
Create web-based user interfaces with Python. The nice way.
An orchestration platform for the development, production, and observation of data assets.
GenAI Agent Framework, the Pydantic way
Freeze (package) Python programs into stand-alone executables
Always know what to expect from your data.
An open source multi-tool for exploring and publishing data