Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

starlette

✨ The little ASGI framework that shines. ✨

Build Status Coverage Package version


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


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

from starlette.applications import Starlette
from starlette.responses import JSONResponse
import uvicorn

app = Starlette(debug=True)


@app.route('/')
async def homepage(request):
    return JSONResponse({'hello': 'world'})

if __name__ == '__main__':
    uvicorn.run(app, host='0.0.0.0', port=8000)

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


class App:
    def __init__(self, scope):
        assert scope['type'] == 'http'
        self.scope = scope

    async def __call__(self, receive, send):
        response = PlainTextResponse('Hello, world!')
        await response(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.

Metadata

Release files for starlette-naokipeter 0.12.0b3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for starlette-naokipeter 0.12.0b3
File Interpreter ABI Platform Actions
starlette_naokipeter-0.12.0b3-py3-none-any.whl Python 3 none any Details for starlette_naokipeter-0.12.0b3-py3-none-any.whl

Release files / starlette_naokipeter-0.12.0b3-py3-none-any.whl

Download URL starlette_naokipeter-0.12.0b3-py3-none-any.whl
Size 55.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f48e392c65a50d8b245a09ba504e3766aeac8801ce9714f7ddfbb0ef41585db7
BLAKE2b-256 checksum
How to use checksums
c98b0dbd84b25a6b371725a353503d8a95ec8c145a79e367d1f354c8b6633365
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/3.7.2

Security for starlette-naokipeter 0.12.0b3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page