Comparing
FastAPI framework, high performance, easy to learn, fast to code, ready for production
End-to-end type-safe APIs — share TypeScript types between server and client without code generation.
| Metric | fastapi | @trpc/server |
|---|---|---|
| Ecosystem | Python | npm |
| Difficulty | Beginner ✓ | Advanced |
| Weekly downloads | 0 | 1.2M↑ |
| Latest version | v0.135.2 | v11.0.0 |
| Recipes | 1 | 2↑ |
fastapi only
Shared
@trpc/server only
Use FastAPI when building REST or GraphQL APIs in Python, especially when you need async support, automatic OpenAPI/Swagger docs, request validation, or are building microservices. It's the best choice for new Python API projects.
Full-stack TypeScript monorepos, Next.js apps where frontend and backend share a codebase, projects where you want type safety without REST/GraphQL ceremony.
FastAPI is API-only — it has no templating, admin interface, or ORM. For full-stack web apps with server-rendered HTML, Django is better. For tiny internal tools, Flask's smaller learning curve might be preferable.
Public APIs consumed by third parties (use REST or GraphQL). Polyglot teams where some consumers aren't TypeScript. Microservices with many separate repos.
fastapi
@trpc/server