validator-collection
Collection of 60+ Python functions for validating data
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 2.7 or 3.4+; abandoned status means no bug fixes or security updates will be released.
- 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 · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, requiring only attribution and inclusion of the license text.
last release 2020-10-12 (2132 days) · last repo commit 2022-12-08 · 132 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 730,723 downloads/mo, #5,209 on PyPI
Alternatives
Verify before relying
pip install validator-collection
from validator_collection import validators
result = validators.email('user@example.com')- 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
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The package is stable and production-ready in its current form, but is no longer actively maintained—the last release was in October 2020 and the repository shows no commits since December 2022.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 on it.
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
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.
Requires Python 2.7 or 3.4+; abandoned status means no bug fixes or security updates will be released.
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')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 packagesjsonschemaregex |
| 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 |
| Classifiers | 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 |
Evidence: validator_collection-1.5.0-py2.py3-none-any.whl
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See also typepy · validators · roc-validator · jsonschema · pykwalify · pyvalid · schema · django-password-validators · pycsvschema · jsonschema-rs