awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
pyeve avatar

pyeve/cerberus

0
View on GitHub↗
3,284 stars·245 forks·Python·ISC·10 viewspython-cerberus.org↗

Cerberus

Lightweight, extensible data validation library for Python

Features

  • Data Quality and Validation - Data validation through schemas.
  • Data Validation - Lightweight and extensible data validation library.
  • Data Validation - Lightweight and extensible data validation.

Star history

Star history chart for pyeve/cerberusStar history chart for pyeve/cerberus

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to Cerberus

Similar open-source projects, ranked by how many features they share with Cerberus.
  • pydantic/pydanticpydantic avatar

    pydantic/pydantic

    26,932View on GitHub↗

    Pydantic is a data validation and serialization library that enforces schema constraints and performs type conversion on complex data structures. It utilizes standard Python type annotations to define data models, allowing developers to establish structured schemas that automatically enforce business rules and constraints without the need for custom domain-specific languages. The library distinguishes itself by transforming high-level model definitions into optimized code during initialization to minimize runtime overhead. It supports recursive validation for nested data structures and employ

    Pythonhintsjson-schemaparsing
    View on GitHub↗26,932
  • alecthomas/voluptuousalecthomas avatar

    alecthomas/voluptuous

    1,845View on GitHub↗

    CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.

    Python
    View on GitHub↗1,845
  • colinhacks/zodcolinhacks avatar

    colinhacks/zod

    43,036View on GitHub↗

    Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It functions as a runtime type guard, allowing developers to define complex data structures through a declarative, chainable syntax. By using these schema definitions, the library automatically derives static TypeScript types, eliminating the need for manual type duplication and ensuring that runtime data matches expected application contracts. The library distinguishes itself through functional schema composition, which enables the creation of hierarchical structures by nesting a

    TypeScriptruntime-validationschema-validationstatic-types
    View on GitHub↗43,036
  • ianstormtaylor/superstructianstormtaylor avatar

    ianstormtaylor/superstruct

    7,141View on GitHub↗

    Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined shapes and types. It functions as a composable schema builder and a TypeScript schema validator, ensuring that runtime data checks remain synchronized with static type definitions. The library features a data coercion engine that transforms input values or injects default values before the validation process is executed. It enables the creation of complex validation rules by nesting, merging, or omitting properties from existing structures. Its capabilities cover the validatio

    TypeScriptinterfacejavascriptschema
    View on GitHub↗7,141
See all 30 alternatives to Cerberus→

Frequently asked questions

What does pyeve/cerberus do?

Lightweight, extensible data validation library for Python

What are the main features of pyeve/cerberus?

The main features of pyeve/cerberus are: Data Quality and Validation, Data Validation.

What are some open-source alternatives to pyeve/cerberus?

Open-source alternatives to pyeve/cerberus include: pydantic/pydantic — Pydantic is a data validation and serialization library that enforces schema constraints and performs type conversion… jquense/yup — Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as… colinhacks/zod — Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It… ianstormtaylor/superstruct — Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined… alecthomas/voluptuous — CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library. keleshev/schema — Schema validation just got Pythonic.