keleshev/schema
Schema validation just got Pythonic observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 88
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5127
- days_rel: n/a
- days_push: 74
- n_releases_24m: 0
Adoption not part of the score
2946 stars · 226 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 data structures like dicts and lists obtained from configs, forms, JSON/YAML, or CLI parsing. It uses composable Python expressions (types, callables, Optional keys) and returns converted data or raises SchemaError.
Use cases
- validate payloads from external services
- validate yaml config files in python
- validate form input data
- validate command-line parsed arguments
- coerce and validate data types with Use
- check nested dict and list structures against a schema
When to avoid
- you need JSON Schema standard compliance or interoperability
- you need high-performance validation of very large datasets
- you prefer pydantic-style model classes with type hints
Facets
library · maturity maintenance
serialization developer-tools developer-tools apis python cross-platform data-validation schema-validation -validation config-validation data-engineering
2 sources
- readme: https://github.com/keleshev/schema · fetched 2026-08-28 · cbbcd5891222
- registry_pypi: https://pypi.org/pypi/schema/json · fetched 2026-08-29 · 36d18af52dd5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| keleshev/schema | main | 62 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem