Comparing
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Python logging that doesn't make you want to cry — structured, colorful, zero-config, with automatic exception tracebacks.
| Metric | fastapi | loguru |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 0 | 4.0M↑ |
| Latest version | v0.135.2 | v0.7.2 |
| Recipes | 1 | 2↑ |
fastapi only
Shared
loguru 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.
Any Python application that needs logging — scripts, APIs, workers. Especially good for: colorized console output during development, structured JSON logs for production, automatic exception tracing.
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.
If your team's infrastructure is already built around stdlib logging and you can't change it easily — loguru can interop but it adds complexity.
fastapi
loguru