Cerberus: Lightweight and Extensible Data Validation for Python

Introdução

Cerberus 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.

Instalação

Installing Cerberus is straightforward using pip:

$ pip install cerberus

Exemplos

Here's a quick example demonstrating how to use Cerberus to validate a simple dictionary:

v = Validator({'name': {'type': 'string'}})
v.validate({'name': 'john doe'})
# Expected output: True

This snippet shows how to define a schema and then use the Validator to check if data conforms to it.

Porquê usar

Cerberus stands out due to several key features:

• Lightweight and Extensible: It's designed to be minimal yet powerful, allowing for custom validation logic without bloat.
• No Dependencies: Cerberus operates independently, avoiding potential dependency conflicts in your projects.
• Semantic Versioning: Maintained according to semantic versioning, ensuring predictable updates and compatibility.
• Comprehensive Documentation: Detailed documentation is available to help users get started and master its capabilities.
• Python Support: Actively tested against various CPython and PyPy interpreters, ensuring broad compatibility.

Links

For more information, check out these resources:

• GitHub Repository
• Official Documentation
• PyPI Package