Reasons to use dataclass over pydantic basemodel
While Pydantic is the industry standard for external data (APIs, JSON parsing), Python's built-in dataclasses are often the better choice for internal data.
To answer your specific questions:
- Is it speed? YES. Dataclasses are significantly faster at creating objects (instantiation).
- Is it strict data type? NO. Pydantic is stricter. Dataclasses do not validate types at runtime; they blindly accept whatever you give them.
Here are the 4 most convincing reasons to use Dataclasses over Pydantic in a modern app, with examples for each.
