What are the differences between Pydantic and other data validation libraries?

What are the differences between Pydantic and other data validation libraries?

Pydantic is known for its data validation and settings management using Python type annotations. Unlike libraries like Marshmallow or Django Forms, Pydantic focuses on performance and ease of use with modern Python features.

Can you explain how Pydantic handles data validation?

Pydantic uses Python type hints to define data models. When you create a model, Pydantic automatically validates the data against the defined types, raising errors if the data doesn't conform.

What are some advantages of using Pydantic over Marshmallow?

Pydantic is generally faster due to its use of type hints and is more intuitive for Python developers. It also provides better error messages and supports nested models more easily.

Are there any limitations to using Pydantic?

Yes, while Pydantic is powerful, it may not be as flexible as Marshmallow for complex serialization needs. Additionally, it requires Python 3.6 or higher due to its reliance on type hints.