The Validation Package provides a robust and extensible framework for validating data in Python applications. Designed with flexibility and scalability in mind, it offers a suite of pre-built validators and supports custom validation logic. This package ensures data integrity and simplifies the process of enforcing business rules across various domains.
- Modular Design: Each validator is encapsulated in its own class, making it easy to manage and extend the validation logic.
- Customizable Error Messages: Validators support customizable error messages, allowing for clear and context-specific feedback.
- Customizable Schema: Users can create their own validation schemas according to their specific needs, providing flexibility to handle unique validation scenarios.
- Comprehensive Validation Suite: Includes a wide range of validators for common data validation tasks such as length checks, format verification, numerical comparisons, list inclusion, and regular expression matching.
