~ / llm
LLM context
Structured catalog metadata for AI agents and crawlers. Copy the text below or fetch the plain-text endpoint directly.
llms.txt ↓llms-full.txt ↓RSS feed
1,178 projects · updated 7/22/2026
# 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: 1,178
- Data source: GitHub (refreshed daily)
- Last scraped: 2026-07-22T09:29:07.057732+00:00

## Top projects

- [open-webui](https://madewithwhat.net/fastapi/project/open-webui/): User-friendly AI Interface (Supports Ollama, OpenAI API,...) (145,348 stars, AI & ML)
- [headroom](https://madewithwhat.net/fastapi/project/headroom/): Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. (59,005 stars, AI & ML)
- [litellm](https://madewithwhat.net/fastapi/project/litellm/): Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM] (53,514 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. (44,220 stars, APIs)
- [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... (36,389 stars, AI & ML)
- [onyx](https://madewithwhat.net/fastapi/project/onyx/): Open Source AI Platform - AI Chat with advanced features that works with every LLM (30,865 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. (27,013 stars, AI & ML)
- [serve](https://madewithwhat.net/fastapi/project/serve/): Build multimodal AI applications with cloud-native stack (21,857 stars, AI & ML)
- [HivisionIDPhotos](https://madewithwhat.net/fastapi/project/hivisionidphotos/): HivisionIDPhotos: a lightweight and efficient AI ID photos tools. AI。 (21,241 stars, AI & ML)
- [Douyin_TikTok_Download_API](https://madewithwhat.net/fastapi/project/douyin-tiktok-download-api/): 「Douyin_TikTok_Download_API」、、TikTok、Bilibili,API,。 (18,784 stars, DevTools)
- [sqlmodel](https://madewithwhat.net/fastapi/project/sqlmodel/): SQL databases in Python, designed for simplicity, compatibility, and robustness. (18,187 stars, DevTools)
- [fastapi-best-practices](https://madewithwhat.net/fastapi/project/fastapi-best-practices/): FastAPI Best Practices and Conventions we used at our startup (17,709 stars, Docs)
- [SurfSense](https://madewithwhat.net/fastapi/project/surfsense/): NotebookLM for Competitive Intelligence Research. Give your AI agents Competitive Intelligence. Join our Discord: https://discord.gg/ejRNvftDp9 (15,228 stars, AI & ML)
- [machine-learning-zoomcamp](https://madewithwhat.net/fastapi/project/machine-learning-zoomcamp/): Learn ML engineering for free in 4 months! Register here (13,664 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! (11,944 stars, Authentication)
- [XHS-Downloader](https://madewithwhat.net/fastapi/project/xhs-downloader/): (XiaoHongShu、RedNote)/:、、、;、;;; (11,943 stars, DevTools)
- [phoenix](https://madewithwhat.net/fastapi/project/phoenix/): AI Observability & Evaluation (10,546 stars, AI & ML)
- [polar](https://madewithwhat.net/fastapi/project/polar/): Polar — A billing platform for the intelligence era (10,055 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. (9,825 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) (8,406 stars, DevTools)
- [nonebot2](https://madewithwhat.net/fastapi/project/nonebot2/): Python / Asynchronous multi-platform chatbot framework written in Python (7,619 stars, AI & ML)
- [hatchet](https://madewithwhat.net/fastapi/project/hatchet/): An orchestration engine for background tasks, AI agents, and durable workflows (7,503 stars, AI & ML)
- [fastapi-users](https://madewithwhat.net/fastapi/project/fastapi-users/): Ready-to-use and customizable users management for FastAPI (6,192 stars, DevTools)
- [Yuxi](https://madewithwhat.net/fastapi/project/yuxi/): 、 Agent Harness 。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP. (6,107 stars, AI & ML)
- [honcho](https://madewithwhat.net/fastapi/project/honcho/): Memory library for building stateful agents (5,948 stars, AI & ML)
- [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. (5,818 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 (5,707 stars, AI & ML)
- [UltraRAG](https://madewithwhat.net/fastapi/project/ultrarag/): A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines (5,643 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. (5,317 stars, AI & ML)

## Useful links

- Full catalog, all 1,178 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.
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