✨ The little ASGI framework that shines. ✨

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.

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

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

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:

• 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

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.