Use AI writing an Schema DataClass for Python.
Schemas DataClass A lightweight, Python 2/3 compatible data validation library that brings powerful schema validation to Python classes with a clean decorator-based API. Schemas DataClass combines the simplicity of Python dataclasses with robust validation capabilities, making it ideal for data processing, API validation, and configuration management.
🚀 Why Choose Schemas DataClass? Seamless Python 2/3 Compatibility: Works flawlessly across Python 2.7+ and 3.4+ Type-Safe Data Validation: Comprehensive validation for strings, numbers, lists, and nested objects Clean, Pythonic API: Use standard class syntax with decorator-based validation Customizable Error Messages: Internationalization-ready with template formatting Zero Dependencies: Pure Python implementation using only standard libraries Efficient Performance: Lightweight design with minimal overhead Recursive Validation Protection: Safely handles nested and circular references 📦 Installation From PyPI (Recommended) 1 pip install schemas-dataclass From Source 1 2 3 git clone https://github.