LLaMA-Factory is a Python tool for tuning and training LLMs/VLMs with CLI, web UI, and support for popular models.
Open Source: #python
Catalog projects marked with #python. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 168 projects with a combined 11,533,809 GitHub stars. Main languages: Python, Jupyter Notebook, C++.
About the Python projects
Python is the number-one open source language by new projects: people write everything in it, from automation scripts to machine learning frameworks. Its low entry barrier produced the broadest ecosystem around — most tasks have several mature libraries to pick from.
This page collects Python tools, frameworks, and learning repositories. Cards show stars, the license, and a short description; each project page adds an architecture walkthrough with code samples.
Repositories
Flask is a Python microframework for web applications: routes, request/response handling, Jinja, and extensible server foundations.
DeerFlow is ByteDance's agent platform for long tasks: research, code, tools, sandboxes, subagents, and message channels.
GPT Academic is a Chinese LLM interface focused on reading, translating, polishing, and analyzing academic material.
graphify turns code, data schemas, and documents into a knowledge graph for AI assistants and project analysis.
OpenBB is a financial data platform for analysts, quants, and AI workflows, with Python access, market data, and research tools.
Ansible is an infrastructure automation platform for server configuration, deployment, network changes, and SSH-based management without remote agents.
Crawl4AI is a Python crawler and web-data extraction tool that prepares pages for LLM, RAG, and agent workflows.
MetaGPT is a multi-agent AI framework where roles such as product manager, architect, and engineer coordinate around a task.
MinerU is a document-analysis tool that turns PDFs and office files into Markdown/JSON for search, RAG, and agent workflows.
Learn Claude Code is a learning project about agent harnesses: tools, memory, context, and the working shell around a model.
Annotated Deep Learning Papers is a collection of deep-learning paper implementations with explanations next to the code.