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quart-schema

A Quart extension to provide schema validation

Worth itPyPI Python ModulesReleased Aug 2026234.0K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — quart_schema-0.24.0-py3-none-any.whl
v0.24.0 · released 2026-08-04 · Python >=3.10 · 3 runtime deps: pyhumps, quart, typing_extensions

Yes. Quart-Schema is actively maintained, has no known vulnerabilities, and offers genuine value for async REST API development: it eliminates manual schema and documentation management while providing flexible validation. The low install friction and permissive MIT license make it a straightforward add-on. Install it if you're building Quart applications and want schema validation with auto-generated API docs.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Quart must be installed as a runtime dependency.
  • Low friction installation with three runtime dependencies.

License · maintenance · safety

MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.

last release 2026-08-04 (10 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 233,959 downloads/mo, #9,030 on PyPI

Verify before relying

pip install quart-schema

from quart import Quart
from quart_schema import QuartSchema

app = Quart(__name__)
QuartSchema(app)
  • Performance characteristics when validating large request/response payloads
  • Compatibility matrix between msgspec and pydantic versions supported
  • WebSocket validation limitations or known issues beyond the 'no documentation standard' note
Same gist for agents: .md · .json

What it is and what it does

Quart-Schema is a Quart extension that layers schema validation and automatic API documentation onto async web applications. It decorates route handlers with validators for query strings, request bodies, and responses, using either msgspec or pydantic as the validation backend. The extension automatically generates OpenAPI-compliant documentation served at standard endpoints (swagger UI at /docs, redoc at /redocs, Scalar at /scalar, and raw JSON at /openapi.json), making it straightforward to document and validate RESTful APIs without manual schema management.

The package is designed for developers building async REST APIs with Quart who want schema enforcement and self-documenting endpoints without boilerplate. It handles both HTTP request/response validation and WebSocket message validation through dedicated methods. With low install friction (three dependencies: pyhumps, quart, and typing_extensions) and active maintenance, it integrates cleanly into existing Quart projects.

Use it for

  • Validate incoming JSON payloads and query parameters in REST endpoints using decorators
  • Auto-generate Swagger UI and OpenAPI documentation from dataclass or pydantic schemas
  • Enforce type safety on WebSocket messages sent and received over persistent connections
  • Build RESTful APIs with minimal boilerplate by combining validation and documentation
  • Switch between msgspec and pydantic validators without changing application code

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Quart-Schema is actively maintained, has no known vulnerabilities, and offers genuine value for async REST API development: it eliminates manual schema and documentation management while providing flexible validation. The low install friction and permissive MIT license make it a straightforward add-on. Install it if you're building Quart applications and want schema validation with auto-generated API docs.

Install

quart-schema on PyPI

Before you install

Low friction installation with three runtime dependencies. Actively maintained with a release within the last 10 days. Supports current Python versions (3.10 through 3.14).

Requires Python 3.10 or later. Quart must be installed as a runtime dependency.

License in practice

MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.

Quickstart

pip install quart-schema

from quart import Quart
from quart_schema import QuartSchema

app = Quart(__name__)
QuartSchema(app)

Verify before relying

  • Performance characteristics when validating large request/response payloads
  • Compatibility matrix between msgspec and pydantic versions supported
  • WebSocket validation limitations or known issues beyond the 'no documentation standard' note

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
pyhumpsquarttyping_extensions
MaintenanceActively maintained 10 days since the last release
First released
Downloads233,959 / month, #9,030 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Software Development :: Libraries :: Python Modules

Evidence: quart_schema-0.24.0-py3-none-any.whl

Tags

Capabilities
quart api schema validationasync python openapi documentationquart request response validationrest api schema generationquart websocket validationopenapi swagger documentation quartpydantic msgspec validation decorator
Topics
async-webopenapi-generationschema-validation

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See also spectree · Quart · flask-openapi3 · flask-pydantic-spec · quart-auth · litestar · json-schema-to-pydantic · datamodel-code-generator · quart-cors · schemathesis