What are the differences between Pydantic and Django?

What are the differences between Pydantic and Django?

Pydantic is a data validation library, while Django is a full-fledged web framework. Pydantic focuses on data parsing and validation using Python type annotations, whereas Django provides tools for building web applications, including ORM, routing, and templating.

Can I use Pydantic with Django?

Yes, you can use Pydantic with Django. It can be particularly useful for validating data in Django views or serializers.

What are the advantages of using Pydantic over Django's built-in validation?

Pydantic offers more flexibility with data types and validation rules, and it provides better error messages. It's also more lightweight compared to Django's built-in validation.

Are there any performance differences between the two?

Pydantic is generally faster for data validation due to its use of type hints and optimizations. Django's validation can be slower because it includes more overhead for its features.

Which one should I choose for a new project?

It depends on your project needs. If you need a full web application, Django is a great choice. If you need robust data validation, consider using Pydantic alongside Django.