> Ultimately every library you add to a project is cognitive overhead. Major frameworks or tools like sqlalchemy, Flask/Django, Pandas, etc. have a lot of cogni

> Ultimately every library you add to a project is cognitive overhead. Major frameworks or tools like sqlalchemy, Flask/Django, Pandas, etc. have a lot of cognitive overhead. The engineering decision is whether that cognitive overhead is worth what the library provides. IMO a library that provides regular functions and values that follow the rules of the language adds zero cognitive overhead. Frameworks that change/break the rules, that let you do things that you can't normally do with regular values, or don't let you do things that you normally could do, are the ones that add overhead, and it sounds like Pydantic is more in that category.