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 18 apps in this directory
Agno
Devops · AI Development · Automation
Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.
Apache Airflow
Data Engineering
Define, schedule, and monitor complex data workflows as Python code — with a powerful UI, 80+ provider integrations, and battle-tested scalability across thousands of production deployments.
GPT Researcher
Productivity · AI Assistants
The pioneering open-source autonomous AI agent that conducts deep, multi-source research and produces citation-backed reports exceeding 2,000 words — faster and more reliably than any human researcher.
Graphify
AI Agents
A YC-backed, open-source knowledge graph skill for AI coding assistants — type /graphify and it maps your entire project (code, docs, PDFs, images, videos) into a queryable graph instead of grepping through files.
headroom
AI Development · Developer Tools
Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.
Helicone
Monitoring · AI Development · Analytics
An open-source AI gateway and LLM observability platform that routes requests to 100+ models while logging cost, latency, and full traces for every call.
knowhere
AI Development · Developer Tools
Transform messy, unstructured documents into persistent, navigable memory that AI agents can actually use.
LiteLLM
AI Development · Developer Tools
Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.
marimo
Developer Tools · Data Engineering
A reactive Python notebook that eliminates hidden state, runs reproducibly, and deploys as a web app or script — stored as pure Python, built for the AI era.