Open Source FastAPI Projects
FastAPI is a Python web framework for building APIs with clear, typed interfaces. It uses type annotations to validate request data, serialize responses, and generate interactive API documentation, reducing repetitive code and helping catch errors early. Its asynchronous support makes it suitable for services that handle many concurrent requests, while its structure can support both small endpoints and larger applications.
Open source tools in this area include extensions, templates, deployment utilities, and complete API services. When choosing one, check its license, maintenance activity, documentation, Python and dependency requirements, and how well it fits your existing stack. Consider security practices and testing support if the service will handle sensitive data or production traffic. These resources can help Python developers, API teams, and organizations build, operate, and extend web services.
10 repositories · updated May 10, 2026
immich-drop: A Zero-Login Web App for Collecting Photos to Immich
immich-drop is a lightweight web application designed to simplify collecting photos and videos from various sources directly into your Immich server. It provides a secure, zero-login interface for guests to upload media via invite links, ensuring privacy and efficient organization. This tool is ideal for anyone looking to gather media from friends, family, or events without requiring them to have an Immich account.
agent-service-toolkit: A Comprehensive Toolkit for AI Agent Services with LangGraph
The agent-service-toolkit is a full-featured repository for building and running AI agent services. It leverages LangGraph for sophisticated agent logic, FastAPI for a robust service API, and Streamlit for an interactive chat interface. This toolkit provides a comprehensive and robust template for developing and deploying custom AI agents with ease.
langcorn: Serve LangChain LLM Apps and Agents with FastAPI
Langcorn is an innovative API server designed to effortlessly deploy LangChain models and pipelines. It leverages the high-performance FastAPI framework, offering a robust and scalable solution for serving large language model applications. With features like easy installation, built-in authentication, and support for custom API keys, Langcorn streamlines the process of bringing your LLM projects to production.
docling-api: Scalable Document to Markdown Conversion Server
docling-api is a robust and scalable backend server designed for converting a wide array of document formats, including PDFs, DOCX, and images, into Markdown. Built with FastAPI, Celery, and Redis, it supports both CPU and GPU processing, making it ideal for large-scale workflows requiring efficient text, table, and image extraction, along with OCR capabilities. This service offers flexible synchronous and asynchronous API endpoints for single and batch document conversions.
Awesome FastAPI: A Curated List of Essential FastAPI Resources
Awesome FastAPI is a comprehensive curated list of resources dedicated to the FastAPI web framework. It provides developers with a wide array of tools, extensions, and learning materials, making it an invaluable hub for anyone working with or learning FastAPI. This repository simplifies the process of discovering essential components for building high-performance Python web applications.
SQLModel: Simplifying SQL Databases in Python with Pydantic and SQLAlchemy
SQLModel is a Python library designed for intuitive, compatible, and robust interaction with SQL databases. Built on Pydantic and SQLAlchemy, it streamlines database operations, especially within FastAPI applications, by leveraging Python type annotations. It aims to minimize code duplication and enhance developer experience with excellent editor support.
Air: The Modern Python Web Framework for FastAPI and Pydantic
Air is a new Python web framework developed by the authors of "Two Scoops of Django." It leverages FastAPI, Starlette, and Pydantic to provide a fast and intuitive development experience. Designed for building both APIs and web pages, Air offers features like Air Tags for HTML generation, Jinja2 integration, and HTMX support, aiming to breathe fresh air into Python web development.
Bracket: A Self-Hosted Tournament System for Sports and Events
Bracket is an open-source, self-hosted tournament system designed for ease of use and flexibility. It supports single elimination, round-robin, and Swiss formats, allowing users to build complex tournament structures with multiple stages. Developed with Python (FastAPI) for the backend and Next.js with Mantine for the frontend, Bracket offers a robust solution for managing sports and other competitive events.
LitServe: Build Custom Inference Engines for AI Models
LitServe is a powerful framework from Lightning AI designed to help developers build custom inference engines for a wide range of AI models and systems. It provides expert control over serving, supporting agents, multi-modal systems, RAG, and pipelines without the typical MLOps overhead. This framework offers a flexible and efficient solution for deploying AI models, whether self-hosted or managed on the Lightning AI platform.
FastAPI: High-Performance Python Web Framework for Building APIs
FastAPI is a modern, high-performance Python web framework designed for building APIs quickly and efficiently. It leverages standard Python type hints to provide automatic data validation, serialization, and interactive API documentation, making development intuitive and robust. This framework is ideal for production-ready applications, offering speed comparable to NodeJS and Go.