←back to thread

Parse, Don't Validate (2019)

(lexi-lambda.github.io)
389 points melse | 2 comments | 26 Jun 21 07:23 UTC | HN request time: 0.414s | source
Show context
Attummm ◴[26 Jun 21 08:18 UTC] No.27640130[source]▶
That's how the validation tool for Python Maat works. By creating a completely new dictionary. https://github.com/Attumm/Maat
replies(2): >>27640197 #>>27640762 #
mulmboy ◴[26 Jun 21 10:34 UTC] No.27640762[source]▶
How does Maat compare with pydantic? https://github.com/samuelcolvin/pydantic
replies(2): >>27640874 #>>27640983 #
1. Attummm ◴[26 Jun 21 11:26 UTC] No.27640983[source]▶
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.

replies(1): >>27646242 #
2. Attummm ◴[26 Jun 21 21:50 UTC] No.27646242[source]▶
Unable to change my comment.

Benchmarks of pydantic has Maat around twice the speed of Pydantic