Skip to main content

The little ASGI library that shines.

Project description

starlette

✨ The little ASGI framework that shines. ✨

Build Status Package version


Documentation: https://www.starlette.io/

Community: https://discuss.encode.io/c/starlette


Starlette

Starlette is a lightweight ASGI framework/toolkit, which is ideal for building high performance asyncio services.

It is production-ready, and gives you the following:

  • Seriously impressive performance.
  • WebSocket support.
  • GraphQL support.
  • In-process background tasks.
  • Startup and shutdown events.
  • Test client built on requests.
  • CORS, GZip, Static Files, Streaming responses.
  • Session and Cookie support.
  • 100% test coverage.
  • 100% type annotated codebase.
  • Zero hard dependencies.

Requirements

Python 3.6+

Installation

$ pip3 install starlette

You'll also want to install an ASGI server, such as uvicorn, daphne, or hypercorn.

$ pip3 install uvicorn

Example

example.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:

$ uvicorn example:app

For a more complete example, see encode/starlette-example.

Dependencies

Starlette does not have any hard dependencies, but the following are optional:

  • requests - Required if you want to use the TestClient.
  • aiofiles - Required if you want to use FileResponse or StaticFiles.
  • jinja2 - Required if you want to use Jinja2Templates.
  • python-multipart - Required if you want to support form parsing, with request.form().
  • itsdangerous - Required for SessionMiddleware support.
  • pyyaml - Required for SchemaGenerator support.
  • graphene - Required for GraphQLApp support.
  • ujson - Required if you want to use UJSONResponse.

You can install all of these with pip3 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.

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:

$ 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.

Performance

Independent TechEmpower benchmarks show Starlette applications running under Uvicorn as one of the fastest Python frameworks available. (*)

For high throughput loads you should:

  • Make sure to install ujson and use UJSONResponse.
  • Run using gunicorn using the uvicorn worker class.
  • Use one or two workers per-CPU core. (You might need to experiment with this.)
  • Disable access logging.

Eg.

gunicorn -w 4 -k uvicorn.workers.UvicornWorker --log-level warning example:app

Several of the ASGI servers also have pure Python implementations available, so you can also run under PyPy if your application code has parts that are CPU constrained.

Either programatically:

uvicorn.run(..., http='h11', loop='asyncio')

Or using Gunicorn:

gunicorn -k uvicorn.workers.UvicornH11Worker ...

— ⭐️ —

Starlette is BSD licensed code. Designed & built in Brighton, England.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

starlette-0.13.8.tar.gz (49.4 kB view details)

Uploaded Source

Built Distribution

starlette-0.13.8-py3-none-any.whl (60.2 kB view details)

Uploaded Python 3

File details

Details for the file starlette-0.13.8.tar.gz.

File metadata

  • Download URL: starlette-0.13.8.tar.gz
  • Upload date:
  • Size: 49.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for starlette-0.13.8.tar.gz
Algorithm Hash digest
SHA256 82df29b2149437ad828a883674bf031788600c876dae50835e98398bd1706183
MD5 2f9081892563535facabe215ac4cc4ba
BLAKE2b-256 86f52713195e0d2f449554f3e0b749cc9d8ec5d00035279d6dfa02d4410adcbd

See more details on using hashes here.

File details

Details for the file starlette-0.13.8-py3-none-any.whl.

File metadata

  • Download URL: starlette-0.13.8-py3-none-any.whl
  • Upload date:
  • Size: 60.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for starlette-0.13.8-py3-none-any.whl
Algorithm Hash digest
SHA256 40afea6ffa830849800cc4efdf006a86ad579d6ba6b64cb1925a1897b020ba6e
MD5 062d9472b803a32575906dc112642575
BLAKE2b-256 85a1309e5ca23ec0ab6757275c9be777430399c5292608e30f63fb2ab2acb8dc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page