python-validators/validators
Python Data Validation for Humans™. observed · 2026-08-28
Health v2 · maintenance only
55/100
- Activity 72
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 239
- age_days: 4703
- days_rel: 489
- days_push: 172
- n_releases_24m: 2
Adoption not part of the score
1123 stars · 188 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A lightweight Python library for validating simple values like emails, URLs, and IPs without defining schemas or forms. It provides simple functions that return True or validation errors.
Use cases
- validate email addresses in python
- check if a string is a valid url
- validate ip addresses without a schema
- simple data validation for python
- validate user input in a flask app
- check domain name validity
When to choose
- you need quick, schema-free validation of individual values
- you want a small dependency with simple True/False validation functions
When to avoid
- you need complex nested schema or form validation with detailed error reporting
- you are validating structured documents rather than single values
Facets
library · maturity active
developer-tools developer-tools web-development python data-validation validators schemaless-validation
2 sources
- readme: https://github.com/python-validators/validators · fetched 2026-08-28 · 31d79e047778
- registry_pypi: https://pypi.org/pypi/validators/json · fetched 2026-08-29 · b05c8b916707
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| python-validators/validators | main | 55 |
For agents
markdown · JSON · MCP: product_card(name="python-validators/validators")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem