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What is quart?

pallets/quart — explained in plain English

Analysis updated 2026-05-18

3,632PythonAudience · developerComplexity · 2/5Setup · easy

In one sentence

An async Python web framework built as a drop-in async version of Flask, from the same Pallets team.

Mindmap

mindmap
  root((Quart))
    What it does
      Async web framework
      HTML pages and JSON APIs
      WebSocket support
      Streaming responses
    Tech stack
      Python
      asyncio
      Flask-compatible API
    Use cases
      Build a high concurrency API
      Migrate a Flask app to async
      Handle WebSocket connections
    Audience
      Python developers
      Flask users

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Build a JSON API that handles many concurrent requests using async Python.

USE CASE 2

Migrate an existing Flask app to async with minimal code changes.

USE CASE 3

Handle WebSocket connections for real-time features in a Python web app.

USE CASE 4

Reuse existing Flask extensions in a new async web project.

What is it built with?

PythonFlaskasyncio

How does it compare?

pallets/quartspotify/chartifydataherald/dataherald
Stars3,6323,6323,633
LanguagePythonPythonPython
Setup difficultyeasyeasymoderate
Complexity2/52/54/5
Audiencedeveloperdatapm founder

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min
No license information given in the README.

So what is it?

Quart is a Python framework for building web applications. It handles the common tasks involved in running a web server: serving HTML pages, building JSON APIs, handling WebSocket connections, and streaming data back and forth over the network. You install it with a single pip command, write your routes as Python functions, and run a built-in development server. The defining characteristic of Quart compared to similar frameworks is that it is built around Python's async system. In practical terms, this means the server can handle many requests at the same time without waiting for each one to finish before starting the next. For applications that make a lot of external calls, like fetching from a database or calling another API, this can significantly improve how many users the server can handle at once. Quart was designed as an async version of Flask, a widely used Python web framework. The two share the same API design, so if you are already familiar with Flask, Quart should feel immediately recognizable. The README notes that migrating an existing Flask application to Quart is often as simple as replacing the import names and adding async and await keywords to your handler functions. Many Flask extensions also work with Quart. The framework supports the same extension ecosystem pattern as Flask, so more specific functionality like database integration, login handling, or form validation can be added through community packages. Quart is maintained by the Pallets organization, which also maintains Flask, Jinja, and several other foundational Python web tools. Documentation, a cheatsheet, and community discussion forums are available through the project's official documentation site.

Copy-paste prompts

Prompt 1
Explain the difference between Quart and Flask and when I would choose one over the other.
Prompt 2
Walk me through migrating a simple Flask route to Quart using async and await.
Prompt 3
Help me set up a WebSocket endpoint in Quart for a real-time feature.
Prompt 4
Show me how to install Quart and run a basic development server.

Frequently asked questions

What is quart?

An async Python web framework built as a drop-in async version of Flask, from the same Pallets team.

What language is quart written in?

Mainly Python. The stack also includes Python, Flask, asyncio.

What license does quart use?

No license information given in the README.

How hard is quart to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is quart for?

Mainly developer.

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