Maat

Personally, I think it's great to have many projects solving the same problem and pushing each other further. Although the differences between the faster validations are small, the older ones were quite slow. This will save unnecessary CPU cycles, making it eco-friendly. And now the bar will be even higher with a Rust version, which is really great. [0]Maat is 2.5 times faster than Pydantic on their own benchmark, as stated in their readme. [0]https://github.com/Attumm/Maat

Take a look at https://github.com/Attumm/Maat Maat is much faster then pydantic according to the benchmark of pydantic.

Pydantic is using classes and typehinting. The new dataclasses style. Currently Maat doens't have a parser for dataclasses, it could come in the future. Pydantic works great with typehinting. Maat was created before dataclasses existed. For validation Maat offers the same. But it also allows for some really neat features such as validation on encrypted data. https://github.com/Attumm/Maat/blob/main/tests/test_validati... Since validation is written as dictionaries its possible to store the validations in caching db such as Redis. And since its simple its easy to extend for anyone use case. And there are no other dependencies. Benchmarks of pydantic has Maat around twice as Pydantic.

That's how the validation tool for Python Maat works. By creating a completely new dictionary. https://github.com/Attumm/Maat