freshcrate
Skin:/
Home > Frameworks > starlette

starlette

The little ASGI library that shines.

Why this rank:Release freshnessHealthy release cadence

Description

<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/Kludex/starlette/main/docs/img/starlette_dark.svg" width="420px"> <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/Kludex/starlette/main/docs/img/starlette.svg" width="420px"> <img alt="starlette-logo" src="https://raw.githubusercontent.com/Kludex/starlette/main/docs/img/starlette.svg"> </picture> </p> <p align="center"> <em>✨ The little ASGI framework that shines. ✨</em> </p> --- [![Build Status](https://github.com/Kludex/starlette/workflows/Test%20Suite/badge.svg)](https://github.com/Kludex/starlette/actions) [![Package version](https://badge.fury.io/py/starlette.svg)](https://pypi.python.org/pypi/starlette) [![Supported Python Version](https://img.shields.io/pypi/pyversions/starlette.svg?color=%2334D058)](https://pypi.org/project/starlette) [![Discord](https://img.shields.io/discord/1051468649518616576?logo=discord&logoColor=ffffff&color=7389D8&labelColor=6A7EC2)](https://discord.gg/RxKUF5JuHs) --- **Documentation**: <a href="https://starlette.dev/" target="_blank">https://starlette.dev</a> **Source Code**: <a href="https://github.com/Kludex/starlette" target="_blank">https://github.com/Kludex/starlette</a> --- # Starlette Starlette is a lightweight [ASGI][asgi] framework/toolkit, which is ideal for building async web services in Python. It is production-ready, and gives you the following: * A lightweight, low-complexity HTTP web framework. * WebSocket support. * In-process background tasks. * Startup and shutdown events. * Test client built on `httpx`. * CORS, GZip, Static Files, Streaming responses. * Session and Cookie support. * 100% test coverage. * 100% type annotated codebase. * Few hard dependencies. * Compatible with `asyncio` and `trio` backends. * Great overall performance [against independent benchmarks][techempower]. ## Installation ```shell $ pip install starlette ``` You'll also want to install an ASGI server, such as [uvicorn](https://www.uvicorn.org/), [daphne](https://github.com/django/daphne/), or [hypercorn](https://hypercorn.readthedocs.io/en/latest/). ```shell $ pip install uvicorn ``` ## Example ```python title="main.py" from starlette.applications import Starlette from starlette.responses import JSONResponse from starlette.routing import Route async def homepage(request): return JSONResponse({'hello': 'world'}) routes = [ Route("/", endpoint=homepage) ] app = Starlette(debug=True, routes=routes) ``` Then run the application using Uvicorn: ```shell $ uvicorn main:app ``` ## Dependencies Starlette only requires `anyio`, and the following are optional: * [`httpx`][httpx] - Required if you want to use the `TestClient`. * [`jinja2`][jinja2] - Required if you want to use `Jinja2Templates`. * [`python-multipart`][python-multipart] - Required if you want to support form parsing, with `request.form()`. * [`itsdangerous`][itsdangerous] - Required for `SessionMiddleware` support. * [`pyyaml`][pyyaml] - Required for `SchemaGenerator` support. You can install all of these with `pip install starlette[full]`. ## Framework or Toolkit Starlette is designed to be used either as a complete framework, or as an ASGI toolkit. You can use any of its components independently. ```python from starlette.responses import PlainTextResponse async def app(scope, receive, send): assert scope['type'] == 'http' response = PlainTextResponse('Hello, world!') await response(scope, receive, send) ``` Run the `app` application in `example.py`: ```shell $ uvicorn example:app INFO: Started server process [11509] INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` Run uvicorn with `--reload` to enable auto-reloading on code changes. ## Modularity The modularity that Starlette is designed on promotes building re-usable components that can be shared between any ASGI framework. This should enable an ecosystem of shared middleware and mountable applications. The clean API separation also means it's easier to understand each component in isolation. --- <p align="center"><i>Starlette is <a href="https://github.com/Kludex/starlette/blob/main/LICENSE.md">BSD licensed</a> code.<br/>Designed & crafted with care.</i></br>&mdash; â­ī¸ &mdash;</p> [asgi]: https://asgi.readthedocs.io/en/latest/ [httpx]: https://www.python-httpx.org/ [jinja2]: https://jinja.palletsprojects.com/ [python-multipart]: https://multipart.fastapiexpert.com/ [itsdangerous]: https://itsdangerous.palletsprojects.com/ [sqlalchemy]: https://www.sqlalchemy.org [pyyaml]: https://pyyaml.org/wiki/PyYAMLDocumentation [techempower]: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&l=zijzen-sf

Release History

VersionChangesUrgencyDate
1.0.0Imported from PyPI (1.0.0)Low4/21/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

sglangSGLang is a fast serving framework for large language models and vision language models.v0.5.16
djangoA high-level Python web framework that encourages rapid development and clean, pragmatic design.main@2026-07-24
launchdarkly-server-sdkLaunchDarkly SDK for Python9.16.1
hypothesisThe property-based testing library for Pythonv6.161.2
uritoolsURI parsing, classification and compositionmaster@2026-07-23

More from pypi

markitdownUtility tool for converting various files to Markdown
fastapiFastAPI framework, high performance, easy to learn, fast to code, ready for production
djangoA high-level Python web framework that encourages rapid development and clean, pragmatic design.
flaskA simple framework for building complex web applications.

More in Frameworks

bamlThe AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
saas-builderAI-native SaaS framework that builds full-stack apps using autonomous AI agents
djangoA high-level Python web framework that encourages rapid development and clean, pragmatic design.
sglangSGLang is a fast serving framework for large language models and vision language models.