🧩 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.