Understanding FastAPI: The Modern Python Framework

# Cons of FastAPI: 1. **Steep Learning Curve for Beginners** - **Why it matters:** Type hints, async, and DI can overwhelm newcomers. - **Impact:** - Junior devs may struggle with debugging async errors. - Misuse of Depends() or Pydantic can lead to silent failures. 1. **Limited Built-in ORM Support** - **Why it matters:** FastAPI doesn’t ship with an ORM like Django. - **Impact:** - You must choose and configure SQLAlchemy, Tortoise, or Prisma manually. - Async DB integration (e.g., with SQLAlchemy 2.0) requires careful setup. 1. **Async Pitfalls** - **Why it matters:** Mixing sync and async code can cause deadlocks or performance issues. - **Impact:** - Blocking calls (e.g., legacy DB drivers) can degrade performance. - Requires discipline in choosing async-compatible libraries. 1. **Limited Admin Interface** - **Why it matters:** Unlike Django, FastAPI has no built-in admin panel. - **Impact:** - You must build dashboards manually or integrate third-party tools. - Slows down internal tooling for CRUD-heavy apps. 1. **Rapid Ecosystem Changes** - **Why it matters**: FastAPI is evolving quickly, especially around async ORM and DI patterns. - **Impact:** - Breaking changes or deprecated patterns may affect long-term stability. - Documentation sometimes lags behind new features. ** ** ** ** ** **