fastapi vs gf

Two of the top projects in Backend and cloud templates, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

11st of 55 in Backend and cloud templates

fastapi

Python web framework for typed REST APIs with automatic OpenAPI docs

#88th of 55 in Backend and cloud templates

gf

Modular Go application framework with an HTTP server and CLI scaffolding

Verdict

fastapi ranks higher, 90 to 84. Of the 4 score parts we measure for both, fastapi leads on 2, gf on 1 and 1 is even.

  • Adoptionfastapi leads by 25 points, 99 to 74: a wide gap.
  • FreshnessEven at 100.
  • Maintenancefastapi leads by 3 points, 100 to 97: close to even.
  • Agent-readygf leads by 30 points, 30 to 0: a wide gap.

Pick fastapi if you are

Python developers building API backends, including model-serving ones

  • Validates path, query, header, cookie, form and JSON body data from type hints alone
  • Generates OpenAPI schema plus Swagger UI and ReDoc pages with no extra setup

Pick gf if you are

Go developers building backend services that expose APIs

  • Components can be imported individually instead of adopting the full framework
  • gf CLI scaffolds a project (gf init) and runs it (gf run)
fastapi vs gf: score parts and facts
What we comparefastapigf
Score parts, out of 100
Adoption99, widely used74, popular
Freshness100, active100, active
Maintenance100, healthy97, healthy
Agent-ready0, none30, minimal
Facts from GitHub and the README
Stars104.7k13.3k
LicenseMIT (permissive)MIT (permissive)
Last commitNov 2026Nov 2026
Last releaseNov 2026Oct 2026
LanguagePythonGo
DockerNoNo
GPUNot neededNot needed
arm64 or Apple SiliconNot statedMentioned

fastapi

FastAPI is a Python framework for building HTTP APIs from standard type hints. It uses Starlette for the web layer and Pydantic for validation and serialization, and generates OpenAPI and JSON Schema documentation with Swagger UI at /docs and ReDoc at /redoc. It is a general-purpose framework, not an AI-specific starter.

Who it is for: Python developers building API backends, including model-serving ones

Strengths

  • Validates path, query, header, cookie, form and JSON body data from type hints alone
  • Generates OpenAPI schema plus Swagger UI and ReDoc pages with no extra setup
  • Includes dependency injection, OAuth2/JWT, HTTP Basic auth, WebSockets and CORS
  • `fastapi dev` gives auto-reload; `fastapi run` is the production command

Weaknesses

  • No model, agent or other AI functionality included; you wire that in yourself
  • No ORM or database layer; persistence is left to other libraries
  • Relies on Starlette and Pydantic, so changes in either affect your app
  • Productivity figures come from an internal team's estimates, not reproducible benchmarks
  • Python
  • Needs Starlette, Pydantic, Uvicorn

gf

GoFrame is a general-purpose Go framework that can be used as a full application framework or as individual components. The README shows an HTTP server (g.Server with handler binding) and a gf CLI that scaffolds and runs projects. It has no AI features and requires Go 1.25 or later.

Who it is for: Go developers building backend services that expose APIs

Strengths

  • Components can be imported individually instead of adopting the full framework
  • gf CLI scaffolds a project (gf init) and runs it (gf run)
  • MIT license, with English and Chinese docs plus mirror sites and offline PDFs
  • Recent activity: release 2026-10-28, commit 2026-11-10

Weaknesses

  • No AI, model or agent integration described in the README
  • Go only, and requires Go 1.25 or later
  • README names no components beyond the HTTP server, so scope needs the docs site
  • No Dockerfile or compose file detected in the repo
  • Go
  • Needs Go 1.25+

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