validators
Python Data Validation for Humans™
Decision gist · record as of 2026-08-14
Yes. validators is actively maintained, has zero known vulnerabilities, installs with no dependencies, and solves a common problem—quick validation of standard formats—without forcing you to define schemas. Use it when you need simple, one-off format checks; skip it if you're building a complex data pipeline that already has a validation framework.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Low friction install with no runtime dependencies.
- Active maintenance with recent release (2025-05-01) and ongoing repository commits (last 2026-03-14).
License · maintenance · safety
MIT (permissive) — MIT license permits use in commercial and proprietary projects with minimal restrictions—include a copy of the license and you're clear.
last release 2025-05-01 (470 days) · last repo commit 2026-03-14 · 1,122 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 31,710,317 downloads/mo, #784 on PyPI
Alternatives
Verify before relying
pip install validators
import validators
result = validators.email('someone@example.com')
print(result) # True or validation result object- Whether validators returns True/False or a result object for each validator type (behavior may vary by validator).
- Performance characteristics when validating large batches of data.
- Exact list of supported validators and their coverage (email, URL, IP, credit card, etc.).
What it is and what it does
validators is a lightweight Python library that checks whether common data formats are valid without requiring you to define a schema or form first. It exposes simple functions like `validators.email()` and `validators.url()` that return a result indicating whether the input is valid. The library has no runtime dependencies and supports Python 3.9 through 3.13.
It's designed for developers who need quick, ad-hoc validation of individual values—email addresses, URLs, IP addresses, credit card numbers, and similar formats—in scripts, web applications, or data pipelines. Rather than building a full validation schema, you call the appropriate validator function directly on the value you want to check.
Use it for
- Validate user-submitted email addresses in web forms before processing or storing.
- Check if a string is a valid URL before making HTTP requests or storing links.
- Verify IP addresses in network configuration or access-control logic.
- Validate credit card numbers in payment processing workflows.
- Quick format checks in data cleaning or ETL scripts without schema overhead.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
validators is actively maintained, has zero known vulnerabilities, installs with no dependencies, and solves a common problem—quick validation of standard formats—without forcing you to define schemas. Use it when you need simple, one-off format checks; skip it if you're building a complex data pipeline that already has a validation framework.
Install
validators on PyPI
Before you install
Low friction install with no runtime dependencies. Active maintenance with recent release (2025-05-01) and ongoing repository commits (last 2026-03-14). Supports Python 3.9 through 3.13.
Requires Python 3.9 or later.
License in practice
MIT license permits use in commercial and proprietary projects with minimal restrictions—include a copy of the license and you're clear.
Quickstart
pip install validators
import validators
result = validators.email('someone@example.com')
print(result) # True or validation result objectVerify before relying
- Whether validators returns True/False or a result object for each validator type (behavior may vary by validator).
- Performance characteristics when validating large batches of data.
- Exact list of supported validators and their coverage (email, URL, IP, credit card, etc.).
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 470 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 31,710,317 / month, #784 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Libraries :: Python Modules |
Evidence: validators-0.35.0-py3-none-any.whl
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See also validator-collection · django-password-validators · semantic-link-functions-validators · validate_email · yamale · swagger-spec-validator · python-stdnum · rfc3339-validator · jsonschema · avro-validator