# pgjones/hypercorn

Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.

Repository: https://github.com/pgjones/hypercorn
Canonical: https://ross.abutalabs.com/products/hypercorn
Language: Python
License: MIT
License Family: permissive
Topics: asyncio, python, http-server, asgi, http2, http3, wsgi
Last push: 2025-11-08T13:49:26+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 51, release rhythm 35, longevity 100
- inputs: {"age_days": 3014, "days_push": 298, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1601, forks 160 (observed 2026-08-28T04:05:09.633585+00:00)

## What it is
Hypercorn is an ASGI and WSGI web server for Python based on sans-io hyper libraries and inspired by Gunicorn. It supports HTTP/1, HTTP/2, HTTP/3 (draft), and WebSockets, with asyncio, uvloop, or trio worker types.

## Use cases
- serve an ASGI app like Quart or FastAPI in production
- run a WSGI Flask app with an asyncio-capable server
- serve websockets over HTTP/1 and HTTP/2
- try out HTTP/3 with a Python server
- replace Gunicorn or Uvicorn for ASGI deployment
- run a Python web server with trio workers

## When to choose
- you need a production ASGI server with HTTP/2 or HTTP/3 support
- you want to serve both ASGI and WSGI apps with one tool
- you prefer trio or uvloop workers for async serving

## When to avoid
- you only need a simple development server for a framework with its own built-in server
- you need a non-Python application server or a reverse proxy

## Facets
- artifact type: service
- maturity: active
- function: http-server, websocket, middleware
- domain: web-development, backend, apis
- platform: python, cross-platform, cli
- tags: asgi, wsgi, http2, http3, asyncio, trio, gunicorn-inspired

## Member repositories
- pgjones/hypercorn (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:09.633585+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:52:48.902951+00:00, confidence not recorded.
  - readme: https://github.com/pgjones/hypercorn (fetched 2026-08-28T04:05:09.633585+00:00, sha 312b3fe89343)
- Data as of 2026-08-30T08:39:29.467469+00:00.