🧩 Summary for Developers
Use Pydantic when you need to validate and clean data at runtime, especially in APIs or when accepting user input.
Use mypy when you want to catch type-related bugs early during development through static type checking.
Both tools improve code quality but serve different purposes:
➡️ Pydantic keeps your data clean while running.
➡️ Mypy keeps your types clean before running.
Use them together for best results in modern Python projects.
Top comments (2)
Spot on! I always reach for Pydantic when dealing with messy external data, and mypy's saved me from some sneaky bugs more than once.
Totally! Pydantic and mypy make such a powerful combo — especially when the data isn't playing nice. Can't imagine going back to dynamic typing for serious projects.