{"name":"Cerberus: Lightweight and Extensible Data Validation for Python","description":"Cerberus is a lightweight and extensible data validation library for Python, offering robust type checking and base functionality. It is designed for easy customization and integration, allowing for custom validation rules. With no external dependencies, Cerberus provides a powerful yet simple solution for validating data structures.","github":"https://github.com/pyeve/cerberus","url":"https://osrepos.com/repo/pyeve-cerberus","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/pyeve-cerberus","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/pyeve-cerberus.md","json":"https://osrepos.com/repo/pyeve-cerberus.json","topics":["data-validation","python","validation-library","schema-validation","data-processing"],"keywords":["data-validation","python","validation-library","schema-validation","data-processing"],"stars":null,"summary":"Cerberus is a lightweight and extensible data validation library for Python, offering robust type checking and base functionality. It is designed for easy customization and integration, allowing for custom validation rules. With no external dependencies, Cerberus provides a powerful yet simple solution for validating data structures.","content":"## Introdução\nCerberus is a lightweight and extensible data validation library for Python, designed to simplify the process of validating data structures. It provides out-of-the-box type checking and other essential functionalities, making it a versatile tool for various applications. Cerberus is built to be non-blocking and highly extensible, allowing developers to easily implement custom validation rules.\n\n## Instalação\nInstalling Cerberus is straightforward using pip:\n\nconsole\n$ pip install cerberus\n\n\n## Exemplos\nHere's a quick example demonstrating how to use Cerberus to validate a simple dictionary:\n\npython\nv = Validator({'name': {'type': 'string'}})\nv.validate({'name': 'john doe'})\n# Expected output: True\n\nThis snippet shows how to define a schema and then use the `Validator` to check if data conforms to it.\n\n## Porquê usar\nCerberus stands out due to several key features:\n\n-   **Lightweight and Extensible:** It's designed to be minimal yet powerful, allowing for custom validation logic without bloat.\n-   **No Dependencies:** Cerberus operates independently, avoiding potential dependency conflicts in your projects.\n-   **Semantic Versioning:** Maintained according to semantic versioning, ensuring predictable updates and compatibility.\n-   **Comprehensive Documentation:** Detailed documentation is available to help users get started and master its capabilities.\n-   **Python Support:** Actively tested against various CPython and PyPy interpreters, ensuring broad compatibility.\n\n## Links\nFor more information, check out these resources:\n\n-   [GitHub Repository](https://github.com/pyeve/cerberus)\n-   [Official Documentation](http://docs.python-cerberus.org)\n-   [PyPI Package](https://pypi.python.org/pypi/cerberus)","metrics":{"detailViews":3,"githubClicks":5},"dates":{"published":null,"modified":"2025-12-13T20:00:36.000Z"}}