Pydantic vs Marshmallow: Error Handling

What are the main differences in error handling between Pydantic and Marshmallow?

Pydantic uses Python's type hints for validation and raises errors as exceptions, while Marshmallow uses schemas and returns errors in a structured format.

Can you give an example of how each library handles validation errors?

Sure! In Pydantic, if a field fails validation, it raises a ValidationError. In Marshmallow, it returns a dictionary with error messages for each field.

Which one is better for complex data validation?

It depends on your needs. Pydantic is great for type safety and performance, while Marshmallow offers more flexibility with custom validation.

Are there any performance differences between the two?

Yes, Pydantic is generally faster due to its use of type hints and compiled validation, while Marshmallow can be slower because of its more dynamic nature.