skillfed

validator-collection

Collection of 60+ Python functions for validating data

validator-collection v1.5.0 730.7K downloads/30d#5,209 on PyPI132
Permissive license MIT Abandoned released

What it is and what it does

Validator Collection is a Python library offering a suite of 60+ pre-built validator functions designed to check both the type and contents of input values. Each validator follows a consistent calling convention, making it straightforward to integrate validation logic into data processing pipelines. The library depends on jsonschema for JSON Schema validation and regex (on Python 2.7) for pattern matching.

The package is stable and production-ready in its current form, but is no longer actively maintained—the last release was in October 2020 and the repository shows no commits since December 2022. It supports Python 2.7 through 3.8, though it has not been updated for newer Python versions. For projects locked to older Python versions or seeking a straightforward, battle-tested validator collection without ongoing development, it remains usable; for new projects requiring active maintenance and modern Python support, alternatives may be preferable.

Use it for:

  • Validate email addresses, URLs, and other common data formats in form processing or API input handlers
  • Check numeric ranges and types before performing calculations or database operations
  • Enforce data type constraints in data pipelines or ETL workflows
  • Validate file paths and file-related metadata in file-handling code
  • Perform JSON Schema validation on structured configuration or API payloads

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides 60+ validator functions for checking type and content of Python values, with consistent syntax across common validation tasks.

Yes, with conditions. Install if you are maintaining legacy Python 2.7 or 3.4–3.8 code that needs a stable, well-tested validator library and you accept no further updates. Do not install for new projects targeting modern Python versions or requiring active maintenance and security updates—the package is abandoned and will not receive bug fixes or compatibility patches.

Install

validator-collection on PyPI

pip

pip install validator-collection

uv

uv add validator-collection

poetry

poetry add validator-collection

Installing validator-collection

Before you install

Low install friction with only jsonschema and regex as runtime dependencies. However, the package is abandoned—last release was 2020-10-12 and last commit 2022-12-08, with no active maintenance.

License in practice

MIT license permits commercial and private use with minimal restrictions, requiring only attribution and inclusion of the license text.

Quickstart

pip install validator-collection

from validator_collection import validators

result = validators.email('user@example.com')

Requires Python 2.7 or 3.4+; abandoned status means no bug fixes or security updates will be released.

Verify before relying

  • Whether the 60+ validators cover the specific validation types your application needs
  • Current compatibility with Python versions released after 3.8
  • Whether jsonschema and regex dependencies have unresolved security issues

Package facts

License MIT (permissive)
Python support supports the current Python release (>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4)
Install friction low — pure-Python wheel
Runtime dependencies 2 — jsonschema, regex
Maintenance abandoned — 2,132 days since the last release
Last repo commit
First released
Downloads 730,723/month — #5,209 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: validator_collection-1.5.0-py2.py3-none-any.whl

Keywords: validator, validate, validation, validators

Development Status :: 5 - Production/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Topic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities

Tags

python data validation functionstype checking validatorsinput validation librarydata validation utilitiesschema validation pythoncontent validation functionsvalue validation checkers
data-validationabandoned-but-stable

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