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pallets/quart

An async Python micro framework for building web applications. observed · 2026-08-28

github.com/pallets/quart · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

79/100

  • Activity 99
  • Release rhythm 40
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 19
  • age_days: 3218
  • days_rel: 614
  • days_push: 8
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

3658 stars · 204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Quart is an async Python web application framework that reimplements Flask's API on top of asyncio and ASGI. It supports HTML templating, JSON APIs, WebSockets, and request/response streaming.

Use cases

  • build an async REST API in Python
  • serve websockets from a Flask-like app
  • migrate a Flask app to asyncio
  • render Jinja HTML templates with async views
  • stream request and response data over HTTP
  • build a small async web service with Flask's API

When to choose

  • you know Flask and want async/await support
  • you need WebSockets alongside HTTP routes
  • you want a lightweight ASGI micro framework with Flask compatibility
  • you want to reuse Flask extensions in an async app

When to avoid

  • you need a full-featured framework with built-in ORM, auth, and admin
  • you want a sync framework or minimal asyncio overhead
  • your project depends on Flask extensions incompatible with async
  • you prefer Django-style batteries-included development

Facets

framework · maturity stable

web-framework http-server websocket templating routing middleware web-development backend apis python cross-platform asgi asyncio flask-compatible micro-framework jinja2 web-server

2 sources

Member repositories

RepositoryRoleHealth v2
pallets/quartmain79

For agents

markdown · JSON · MCP: product_card(name="pallets/quart")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem