Dataclass or BaseModel¶
Pydantic’s documentation primarily adopts the BaseModel approach,
i.e.
from pydantic import BaseModel
class Item(BaseModel):
...
rather than the dataclass approach,
from pydantic.dataclasses import dataclass
@dataclass
class Item:
...
and whilst Quart-Schema supports both this documentation primarily
adopts the dataclass approach. This is because I find this
approach to be cleaner and clearer. I think if pydantic had started
when after dataclass was added to the Python stdlib it would have
done the same.
Warning
Just a caveat, that these two approaches lead to potentially subtle differences which you can read about here.