validx

library0.8.1pypypi✓ verified 81d ago

ValidX is a fast, powerful, and flexible data validation library for Python with a clean and sane syntax. It supports complex nested validations, transformations, and custom rules. Current version is 0.8.1, released under MIT license. Release cadence is irregular.

serialization

pip install validx

github ↗package ↗

INSTALL

IMPORT

SIG · VALIDX

validx

serializationpythonv0.8.1

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Validator

✓ from validx import Validator

✗ from validx import validate

Int

✓ from validx import Int

Str

✓ from validx import Str

Basic usage: define a schema using Python types, then call validate().

from validx import validate schema = { "name": str, "age": int, "email": str } data = {"name": "Alice", "age": 30, "email": "alice@example.com"} result = validate(schema, data) print(result.valid) # True if valid, False otherwise print(result.errors) # Empty list if valid

Debug

Known issues

deprecatedIn versions < 0.8.0, `validate` returned a tuple (valid, errors). In 0.8.0+ it returns a Result object with attributes .valid and .errors.

fix

Update code to use .valid and .errors attributes instead of tuple unpacking.

affects: <0.8.0

gotchaNested schemas must be defined as dicts, not as tuples or lists. Using a tuple for a nested validation will be treated as a sequence validator, not a dict validator.

fix

Always use dict for object schemas: {'nested': {'key': int}}

affects: all

Upgrade

Version history

0.8.1latest on PyPI · released Jul 20, 2023

Audit

Dependencies

No dependency data recorded yet.

Agent activity

9 hits · last 30 days

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OpenAI (training)

Resources

githubhttps://github.com/Cottonwood-Technology/ValidX ↗

packagehttps://pypi.org/project/validx/ ↗