DeepInfer: High-performance, large-scale inference framework for DeepSeek models
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Pull-based C2 framework with ten native transports, concurrent multi-profile handlers, and end-to-end ECDSA-signed tasking. Single Go binary agent with every property baked in at build time. Multi-operator team server with RBAC, audit chain, and a Qt/CLI console. Linux + Windows, amd64 + arm64.
The definitive list that answers "I want to do X in Python, which tool should I use?"
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
TradingAgents: Multi-Agents LLM Financial Trading Framework
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Web framework for perfectionists with deadlines.
🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A programming framework for agentic AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
LlamaIndex is the document processing platform for AI
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Build resilient agents.
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
A community-maintained Python framework for creating mathematical animations.
🕵️♂️ Collect a dossier on a person by username from 6K websites
DSPy: The framework for programming—not prompting—language models
SGLang is a high-performance serving framework for large language models and multimodal models.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Web APIs for Django. 🎸
A lightweight, powerful framework for multi-agent workflows
We have made you a wrapper you can't refuse
🕸️ Web apps in pure Python 🐍
Documentation that simply works
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Data Apps & Dashboards for Python. No JavaScript Required.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
"RAG-Anything: All-in-One RAG Framework"
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Agent Zero AI framework
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
The LLM Evaluation Framework
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Apprise - Push Notifications that work with just about every platform!
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
Asynchronous HTTP client/server framework for asyncio and Python
A framework for managing and maintaining multi-language pre-commit hooks.
AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.
A hyperparameter optimization framework
A framework for building realtime voice AI agents 🤖🎙️📹
Unified framework for building enterprise RAG pipelines with small, specialized models
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing