Project: hypercorn

A ASGI Server based on Hyper libraries and inspired by Gunicorn

Project Details

Latest version
0.16.0
Home Page
https://github.com/pgjones/hypercorn/
PyPI Page
https://pypi.org/project/hypercorn/

Project Popularity

PageRank
0.007726625715830067
Number of downloads
577495

Hypercorn

.. image:: https://github.com/pgjones/hypercorn/raw/main/artwork/logo.png :alt: Hypercorn logo

|Build Status| |docs| |pypi| |http| |python| |license|

Hypercorn is an ASGI <https://github.com/django/asgiref/blob/main/specs/asgi.rst>_ and WSGI web server based on the sans-io hyper, h11 <https://github.com/python-hyper/h11>, h2 <https://github.com/python-hyper/hyper-h2>, and wsproto <https://github.com/python-hyper/wsproto>_ libraries and inspired by Gunicorn. Hypercorn supports HTTP/1, HTTP/2, WebSockets (over HTTP/1 and HTTP/2), ASGI, and WSGI specifications. Hypercorn can utilise asyncio, uvloop, or trio worker types.

Hypercorn can optionally serve the current draft of the HTTP/3 specification using the aioquic <https://github.com/aiortc/aioquic/>_ library. To enable this install the h3 optional extra, pip install hypercorn[h3] and then choose a quic binding e.g. hypercorn --quic-bind localhost:4433 ....

Hypercorn was initially part of Quart <https://github.com/pgjones/quart>_ before being separated out into a standalone server. Hypercorn forked from version 0.5.0 of Quart.

Quickstart

Hypercorn can be installed via pip <https://docs.python.org/3/installing/index.html>_,

.. code-block:: console

$ pip install hypercorn

and requires Python 3.8 or higher.

With hypercorn installed ASGI frameworks (or apps) can be served via Hypercorn via the command line,

.. code-block:: console

$ hypercorn module:app

Alternatively Hypercorn can be used programatically,

.. code-block:: python

import asyncio
from hypercorn.config import Config
from hypercorn.asyncio import serve

from module import app

asyncio.run(serve(app, Config()))

learn more (including a Trio example of the above) in the API usage <https://hypercorn.readthedocs.io/en/latest/how_to_guides/api_usage.html>_ docs.

Contributing

Hypercorn is developed on Github <https://github.com/pgjones/hypercorn>. If you come across an issue, or have a feature request please open an issue <https://github.com/pgjones/hypercorn/issues>. If you want to contribute a fix or the feature-implementation please do (typo fixes welcome), by proposing a pull request <https://github.com/pgjones/hypercorn/merge_requests>_.

Testing


The best way to test Hypercorn is with `Tox
<https://tox.readthedocs.io>`_,

.. code-block:: console

    $ pipenv install tox
    $ tox

this will check the code style and run the tests.

Help
----

The Hypercorn `documentation <https://hypercorn.readthedocs.io>`_ is
the best place to start, after that try searching stack overflow, if
you still can't find an answer please `open an issue
<https://github.com/pgjones/hypercorn/issues>`_.


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   :target: https://pypi.python.org/pypi/Hypercorn/

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   :target: https://github.com/pgjones/hypercorn/blob/main/LICENSE