The little ASGI library that shines.
Project description
✨ The little ASGI framework that shines. ✨
Documentation: https://www.starlette.io/
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()
@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 here.
Dependencies
Starlette does not have any hard dependencies, but the following are optional:
requests- Required if you want to use theTestClient.aiofiles- Required if you want to useFileResponseorStaticFiles.jinja2- Required if you want to use the default template configuration.python-multipart- Required if you want to support form parsing, withrequest.form().itsdangerous- Required forSessionMiddlewaresupport.- [
sqlalchemy][sqlalchemy] - Required forDatabaseMiddlewaresupport. pyyaml- Required forSchemaGeneratorsupport.graphene- Required forGraphQLAppsupport.ujson- Required if you want to useUJSONResponse.
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):
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)
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
ujsonand useUJSONResponse. - Run using gunicorn using the
uvicornworker 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.
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