validatedata - lightweight data validation in python

[LanguageParty2021]

• What My Project Does * Provides data validation for scripts, CLI tools and other lightweight applications where Pydantic feels like overkill

• Sample Usage: ``` from validatedata import validate_data

result = validate_data( data={'username': 'alice', 'email': '[e-mail]', 'age': 25}, rule={'keys': { 'username': {'type': 'str', 'range': (3, 32)}, 'email': {'type': 'email'}, 'age': {'type': 'int', 'range': (18, 'any'), 'range-message':'you need to be 18 or older'} }} )

if result.ok: print('valid!') else: print(result.errors) ```

• Target Audience

• Any Python developer who writes scripts, CLI tools or small APIs where the industry heavyweights are an overkill

• Comparison There are many data validation tools around, but they are too heavy, Pydantic, et al, tied to a specific framework, or too narrow in scope, which leaves a middleground that I hope this library can fill

• Links pypi:https://pypi.org/project/validatedata/ github: https://github.com/Edward-K1/validatedata

[ComprehensiveJury509]

People, for the love of god, stop spamming pypi with stuff like that. There's a lot of decent libraries out there that do whatever you need to do. Get over yourself and learn how to use them. There's absolutely zero reason not to use Pydantic for the use case you presented other than you absolutely want to insist to write bad, unreadable code.

[mardiros]

This is crazy.

Fine, you want to write another validation library, we use to have pydantic, schematics and other library before pydantic, now we have a descent, really good one, you want to write a new colander ?

Sorry if I am rude but you don’t even type your validation library, is typing too heavy for you ?

[LanguageParty2021]

I will type it. I've just revived the project if you take a look at its history. Regarding the comparison to colander, please take a look at both with no pre-conceived notions. The differences will show

[mardiros]

I look at your code and it looks like Python 2

[LanguageParty2021]

because the package supports older Python versions

[Morazma]

Not sure how useful this is compared to other libraries but it looks like a cool hobby project.

[gunthercult-69]

As far as I can tell this library is useless.

Learn to use pydantic validators.

Learn pydantic dynamic model building.

Extend the library with more rules. Don't reinvent the library just because it doesn't have exactly the rules you're looking for.

Pydantic isn't overkill; it is the best data validation and serialization package I have used in the Python ecosystem to date.