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Libraries for validating data structures and schemas in Python.
Data/Schema Validation Tools in Python are essential libraries and frameworks designed to ensure that data conforms to a predefined schema or set of validation rules. These tools are crucial in data processing and handling, as they allow developers to verify the structure, format, and content of the data their applications are consuming or producing, ensuring data integrity and consistency. In Python, these validation tools provide a way to automatically check the data against specified schemas or rules, throwing errors or warnings when the data does not meet the criteria.
Object Serialization & Validation
ORM/ODM/framework-agnostic library for object serialization and deserialization. Converts complex data types to and from native Python datatypes with robust validation.
Python Data Structure Validation
Validates Python data structures with straightforward syntax and clear error messages. Ensures structure and content adhere to specified schemas.
JSON Schema Validator
Library for validating JSON data against JSON Schema standards. Essential when working with JSON data formats to ensure schema compliance.