~ / llm
LLM context
Structured catalog metadata for AI agents and crawlers. Copy the text below or fetch the plain-text endpoint directly.
1,620 projects · updated 9/5/2026
# Made with FastAPI > A curated, daily-updated gallery of the best open-source projects built with FastAPI, ranked by GitHub stars. Discover dashboards, UI kits, e-commerce, blogs and dev tools. ## About - Gallery: https://madewithwhat.net/fastapi/ - Domain: madewithfastapi.com - Projects indexed: 1,620 - Data source: GitHub (refreshed daily) - Last scraped: 2026-09-06T02:26:44.846481+00:00 ## Top projects - [open-webui](https://madewithwhat.net/fastapi/project/open-webui/): User-friendly AI Interface (Supports Ollama, OpenAI API,...) (147,886 stars, AI & ML) - [headroom](https://madewithwhat.net/fastapi/project/headroom/): Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. (64,851 stars, AI & ML) - [litellm](https://madewithwhat.net/fastapi/project/litellm/): The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM] (55,577 stars, AI & ML) - [full-stack-fastapi-template](https://madewithwhat.net/fastapi/project/full-stack-fastapi-template/): Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more. (44,605 stars, DevTools) - [Hello-Python](https://madewithwhat.net/fastapi/project/hello-python/): Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA... (36,762 stars, AI & ML) - [onyx](https://madewithwhat.net/fastapi/project/onyx/): Open Source AI Platform - AI Chat with advanced features that works with every LLM (31,937 stars, AI & ML) - [mlflow](https://madewithwhat.net/fastapi/project/mlflow/): The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. (27,368 stars, AI & ML) - [serve](https://madewithwhat.net/fastapi/project/serve/): Build multimodal AI applications with cloud-native stack (21,862 stars, AI & ML) - [HivisionIDPhotos](https://madewithwhat.net/fastapi/project/hivisionidphotos/): HivisionIDPhotos: a lightweight and efficient AI ID photos tools. AI。 (21,339 stars, AI & ML) - [Douyin_TikTok_Download_API](https://madewithwhat.net/fastapi/project/douyin-tiktok-download-api/): 「Douyin_TikTok_Download_API」、、TikTok、Bilibili,API,。 (19,134 stars, APIs) - [sqlmodel](https://madewithwhat.net/fastapi/project/sqlmodel/): SQL databases in Python, designed for simplicity, compatibility, and robustness. (18,244 stars, DevTools) - [fastapi-best-practices](https://madewithwhat.net/fastapi/project/fastapi-best-practices/): FastAPI Best Practices and Conventions we used at our startup (17,830 stars, Docs) - [SurfSense](https://madewithwhat.net/fastapi/project/surfsense/): Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://discord.gg/ejRNvftDp9 (16,092 stars, AI & ML) - [machine-learning-zoomcamp](https://madewithwhat.net/fastapi/project/machine-learning-zoomcamp/): Learn ML engineering for free in 4 months! Register here (13,852 stars, DevTools) - [XHS-Downloader](https://madewithwhat.net/fastapi/project/xhs-downloader/): (XiaoHongShu、RedNote)/:、、、;、;;; (12,228 stars, DevTools) - [peewee](https://madewithwhat.net/fastapi/project/peewee/): a small, expressive orm -- supports postgresql, mysql, sqlite, now with asyncio (11,981 stars, DevTools) - [fastapi_mcp](https://madewithwhat.net/fastapi/project/fastapi-mcp/): Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! (11,976 stars, AI & ML) - [phoenix](https://madewithwhat.net/fastapi/project/phoenix/): AI Observability & Evaluation (10,902 stars, AI & ML) - [polar](https://madewithwhat.net/fastapi/project/polar/): Polar — A billing platform for the intelligence era (10,239 stars, SaaS) - [pycaret](https://madewithwhat.net/fastapi/project/pycaret/): Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane. (9,834 stars, AI & ML) - [FileCodeBox](https://madewithwhat.net/fastapi/project/filecodebox/): -,,(FileCodeBox - File Express Cabinet - Anonymous Passcode Sharing Text, Files, Like Taking Express Delivery for Files) (8,505 stars, DevTools) - [hatchet](https://madewithwhat.net/fastapi/project/hatchet/): An orchestration engine for background tasks, AI agents, and durable workflows (7,668 stars, AI & ML) - [nonebot2](https://madewithwhat.net/fastapi/project/nonebot2/): Python / Asynchronous multi-platform chatbot framework written in Python (7,649 stars, DevTools) - [Yuxi](https://madewithwhat.net/fastapi/project/yuxi/): : RAG、、、MCP/Skills、。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows. (6,693 stars, AI & ML) - [honcho](https://madewithwhat.net/fastapi/project/honcho/): Memory library for building stateful agents (6,433 stars, AI & ML) - [fastapi-users](https://madewithwhat.net/fastapi/project/fastapi-users/): Ready-to-use and customizable users management for FastAPI (6,209 stars, DevTools) - [paperless-ai](https://madewithwhat.net/fastapi/project/paperless-ai/): An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents. (5,876 stars, AI & ML) - [agentops](https://madewithwhat.net/fastapi/project/agentops/): Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI (5,751 stars, AI & ML) - [UltraRAG](https://madewithwhat.net/fastapi/project/ultrarag/): A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines (5,684 stars, AI & ML) - [gpustack](https://madewithwhat.net/fastapi/project/gpustack/): A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances. (5,436 stars, AI & ML) ## Useful links - Full catalog, all 1,620 projects by category: https://madewithwhat.net/fastapi/llms-full.txt - RSS feed: https://madewithwhat.net/fastapi/rss.xml - Submit a project: https://madewithwhat.net/fastapi/submit/ - Browse categories: https://madewithwhat.net/fastapi/categories/ - Newsletter: https://madewithwhat.net/fastapi/newsletter/ ## Optional This catalog ranks open-source projects by GitHub stars. Each project page includes description, stack, languages, license, and related projects.