pyeve/cerberus

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3288 stars · 245 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cerberus is a lightweight, extensible data validation library for Python that validates dictionaries against user-defined schemas. It provides type checking and normalization rules out of the box, has no dependencies, and supports custom validation rules.

Use cases

• validate payloads against a schema in python
• validate dictionaries with type checking
• normalize and sanitize incoming data
• define custom validation rules for documents
• validate config files before loading
• schema validation for python dicts without heavy dependencies

When to choose

• you need dependency-free schema validation for python dictionaries
• you want simple, readable schema definitions with extensible custom rules
• you need data normalization alongside validation
• you're building APIs or processing untrusted dict-like input

When to avoid

• you need pydantic-style typed models with IDE autocompletion and type hints
• you're validating complex nested objects rather than dictionaries
• you need async validation or high-performance bulk validation
• you want a library under very active development

Facets

library · maturity maintenance

serialization data-science developer-tools apis python cross-platform data-validation schema-validation dictionaries normalization no-dependencies

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