What are the key features of Pydantic and Marshmallow?

What are the key features of Pydantic and Marshmallow?

Pydantic is known for its data validation and settings management using Python type annotations. Marshmallow, on the other hand, is focused on object serialization and deserialization, allowing you to convert complex data types to and from native Python data types.

How do they handle validation?

Pydantic uses Python type hints for validation, making it very intuitive. Marshmallow requires you to define schemas explicitly, which can be more flexible but also more verbose.

Which one is better for API development?

It depends on your needs. Pydantic is often preferred for FastAPI due to its performance and ease of use, while Marshmallow is great for more complex serialization tasks.

Can you give examples of when to use each?

Use Pydantic when you need quick validation and settings management in a modern Python application. Use Marshmallow when you need to serialize complex data structures or work with legacy systems.