Skip to main content

A developer centric, performant Python web framework

Project description

Xpresso

Test Coverage Package version Supported Python versions

Xpresso is an ASGI web framework built on top of Starlette, Pydantic and di, with heavy inspiration from FastAPI.

Some of the standout features are:

  • ASGI support for high performance (within the context of Python web frameworks)
  • OpenAPI documentation generation
  • Automatic parsing and validation of request bodies and parameters, with hooks for custom extractors
  • Full support for OpenAPI parameter serialization
  • Highly typed and tested codebase with great IDE support
  • A powerful dependency injection system, backed by di

Requirements

Python 3.7+

Installation

pip install xpresso

You'll also want to install an ASGI server, such as Uvicorn.

pip install uvicorn

Example

Create a file named example.py:

from pydantic import BaseModel
from xpresso import App, Path, FromPath, FromQuery

class Item(BaseModel):
    item_id: int
    name: str

async def read_item(item_id: FromPath[int], name: FromQuery[str]) -> Item:
    return Item(item_id=item_id, name=name)

app = App(
    routes=[
        Path(
            "/items/{item_id}",
            get=read_item,
        )
    ]
)

Run the application:

uvicorn example:app

Navigate to http://127.0.0.1:8000/items/123?name=foobarbaz in your browser. You will get the following JSON response:

{"item_id":123,"name":"foobarbaz"}

Now navigate to http://127.0.0.1:8000/docs to poke around the interactive Swagger UI documentation:

Swagger UI

For more examples, tutorials and reference materials, see our documentation.

Inspiration and relationship to other frameworks

Xpresso is mainly inspired by FastAPI. FastAPI pioneered several ideas that are core to Xpresso's approach:

  • Leverage Pydantic for JSON parsing, validation and schema generation.
  • Leverage Starlette for routing and other low level web framework functionality.
  • Provide a simple but powerful dependency injection system.
  • Use that dependency injection system to provide extraction of request bodies, forms, query parameters, etc.

Xpresso takes these ideas and refines them by:

See this release on GitHub: v0.17.0

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

xpresso-0.17.0.tar.gz (42.7 kB view details)

Uploaded Source

Built Distribution

xpresso-0.17.0-py3-none-any.whl (68.6 kB view details)

Uploaded Python 3

File details

Details for the file xpresso-0.17.0.tar.gz.

File metadata

  • Download URL: xpresso-0.17.0.tar.gz
  • Upload date:
  • Size: 42.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.10.2 Linux/5.11.0-1028-azure

File hashes

Hashes for xpresso-0.17.0.tar.gz
Algorithm Hash digest
SHA256 e944560635dddac4089d4682ca7219bedaceb141f355ee929849b86fb1a337b4
MD5 a6f2589dce06140d5ff7a5ac91d7b13b
BLAKE2b-256 ac3902ac8e5199411959e197195fb9d274eb949f6d6669f3abdc944aa8d0279e

See more details on using hashes here.

File details

Details for the file xpresso-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: xpresso-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 68.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.10.2 Linux/5.11.0-1028-azure

File hashes

Hashes for xpresso-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3b6e1178de57685c6fe2afc078b1856c8039aabd839ab087e5a58754ec8a2c5f
MD5 4f6b50b54b9bacb0414ae1a07c985f16
BLAKE2b-256 674161d0631ecd683764f0c30ce4b457ca3a0d335ddae4e47e5c1794e89afa4e

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