Starlette
A lightweight ASGI framework/toolkit for building async web services and apps in Python
Repository Health
Technical Analysis
Starlette is a lightweight ASGI framework and toolkit for building high-performance async web services in Python. It provides the core primitives every ASGI app needs — routing, request/response objects, middleware, WebSockets, background tasks, and a test client — without imposing a large amount of structure on top, making it usable either directly or as the foundation other frameworks build on.
FastAPI is the most visible consumer of Starlette, using it for all of the underlying HTTP/WebSocket handling while layering in validation and OpenAPI generation; but Starlette itself is designed to be used standalone for services that need async performance without a full-featured framework’s opinions.
What You Get
- ASGI-native routing with path parameters, mounting, and WebSocket routes
- Request/Response objects, form/multipart parsing, and streaming responses
- A composable middleware stack (CORS, GZip, sessions, trusted host, etc.)
- Native async WebSocket support and background task scheduling
- A
TestClientbuilt onhttpxfor synchronous-style testing of async apps - Static file serving and Jinja2 templating integration
Common Use Cases
- Building lightweight async microservices or internal APIs without a heavier framework
- Serving as the ASGI foundation underneath higher-level frameworks (as FastAPI does)
- Building real-time services that need native WebSocket routing and handling
- Adding async middleware (CORS, auth, sessions) to an existing ASGI application
Under The Hood
Architecture - applications.py assembles a Starlette app from a middleware stack (middleware/), a Router (routing.py) that dispatches ASGI scope/receive/send calls to endpoint callables or classes (endpoints.py), with request parsing (requests.py, formparsers.py) and response construction (responses.py) as thin, composable layers around the raw ASGI interface. Tech Stack - Pure-Python, dependency-light (optional extras for httpx, jinja2, python-multipart, itsdangerous depending on features used), built and packaged via modern pyproject.toml/uv tooling, deployed under any ASGI server (Uvicorn, Hypercorn, Daphne). Code Quality - A large, well-organized tests/ directory (26+ files) covers routing, middleware, WebSockets, static files, and exception handling individually, and the project enforces type checking (py.typed) and consistent style across a 300+ contributor codebase. API Design - The Starlette(routes=[...]) constructor and decorator-free route definitions keep the surface small and explicit; because it’s intentionally low-level, using it directly requires more boilerplate than a batteries-included framework, but that same minimalism is what makes it easy to build other frameworks on top of.
Used by 21 apps in this directory
SurfSense
AI Assistants · Search
The open-source, unlimited NotebookLM alternative with real-time collaboration, a desktop app, and no vendor lock-in.
Tracecat
AI Agents · Automation · Security
Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.
WrenAI
AI Agents · Analytics · Data Engineering
Open-source GenBI engine that lets AI agents turn natural-language questions into governed SQL, charts, and shareable dashboards across 20+ data sources — no vendor lock-in, no black-box prompts.