Pydantic vs Marshmallow: Which is Better for Serialization?

What are the main differences between Pydantic and Marshmallow for data serialization?

Pydantic is focused on data validation and settings management using Python type annotations, while Marshmallow is more about object serialization and deserialization, allowing for complex data transformations.

Which one is easier to use for beginners?

Pydantic is generally considered easier for beginners due to its use of Python type hints, making the code more intuitive.

Can you give an example of how to use both?

Sure! In Pydantic, you define a model using classes and type annotations. In Marshmallow, you create schemas to serialize and deserialize data. Would you like to see specific code examples?

Yes, please provide code examples for both.

Here's a simple Pydantic example:

from pydantic import BaseModel

class User(BaseModel):
    name: str
    age: int

And for Marshmallow:

from marshmallow import Schema, fields

class UserSchema(Schema):
    name = fields.Str()
    age = fields.Int()