fastapi vs air

Python frameworks for APIs and web pages compared

fastapi builds HTTP APIs around Python type hints, using them for validation, data conversion, and OpenAPI documentation. air builds on FastAPI to combine server-rendered HTML pages and API routes in one application, with typed HTML elements, Jinja, and HTMX utilities.

fastapiair
LanguagePythonPython
LicenseMITMIT
Stars103k920
Forks10k100
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • fastapi focuses on HTTP APIs, while air targets applications that combine HTML pages and API endpoints.
  • fastapi uses type annotations to describe API inputs and outputs; air adds page routes, typed HTML classes, and Jinja rendering.
  • air is built on FastAPI and Pydantic, and can use FastAPI capabilities such as OpenAPI documentation and WebSockets alongside pages.
  • fastapi supports synchronous and asynchronous endpoints; air’s listed focus is server-rendered pages and APIs in one app.
  • air is identified as alpha, with possible API changes between releases; fastapi’s listed considerations do not include that warning.
  • Both are Python projects licensed under MIT, and neither repository is archived.

Choose fastapi if you…

  • need a framework focused on HTTP APIs with validation and OpenAPI documentation derived from type annotations.
  • want synchronous or asynchronous API endpoints, with support for dependency injection, security integrations, or WebSockets.
  • prefer working directly with FastAPI’s Starlette and Pydantic foundations.
Read the fastapi analysis →

Choose air if you…

  • want server-rendered HTML pages and API routes in one Python application.
  • need typed Python HTML elements, Jinja templates, or HTMX utilities alongside FastAPI capabilities.
  • are comfortable using an alpha project whose APIs may change between releases.
Read the air analysis →

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.

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