This project is a Python implementation of the JSON Schema specification, providing a library for verifying that data instances conform to defined schemas. It serves as a data validation framework capable of validating both the data itself and the schemas against official meta-schemas to ensure structural correctness. The library features a schema reference resolver that maps URIs to definitions, enabling the resolution of internal and remote references for modular schema management. It is designed for extensibility, allowing for the definition of custom keywords, custom type-checking logic,
This project is a Java library designed to validate JSON documents against defined schema specifications. It functions as a standards-compliant engine that ensures data integrity by checking structural compliance and enforcing business rules within Java applications. The library distinguishes itself through its flexible validation strategies, allowing developers to inject custom logic and pattern-matching engines to handle specialized data formats. It supports configurable execution modes, enabling users to either halt validation immediately upon the first error or collect all violations for
This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against defined schema specifications. It functions as a processing utility that parses complex data structures while managing external schema references and circular dependencies. The engine distinguishes itself through an immutable processor design that enables thread-safe, concurrent validation without requiring external synchronization. It employs arbitrary-precision arithmetic to evaluate numeric constraints, preventing common floating-point rounding errors, and utilizes character-l
This library is a Ruby-based validation engine designed to verify JSON data structures against official schema specifications. It ensures data integrity by confirming that objects, strings, and files conform to defined structural constraints, while also validating the integrity of the schema definitions themselves against official metaschema standards. The project distinguishes itself through a highly modular architecture that allows for deep customization. Users can register custom validation rules and format handlers to enforce project-specific business logic that extends beyond standard sp
Dieses Projekt ist eine JSON-Schema-Validierungsbibliothek und ein Framework, das verwendet wird, um zu verifizieren, dass Dateninstanzen deklarativen Definitionen entsprechen. Es fungiert als Validierungs-Engine, die strukturelle Einschränkungen und Datentypen erzwingt, während es gleichzeitig als Meta-Validator dient, um sicherzustellen, dass Schemadefinitionen selbst syntaktisch korrekt gegenüber offiziellen Meta-Schemas sind.
Die Hauptfunktionen von python-jsonschema/jsonschema sind: JSON Schema Implementations, JSON Schema Validation, Schema Reference Resolution, Data Type Validation, Data Validation Frameworks, Validation Error Reporters, Keyword Validation Mappings, Meta-Schema Validations.
Open-Source-Alternativen zu python-jsonschema/jsonschema sind unter anderem: julian/jsonschema — This project is a Python implementation of the JSON Schema specification, providing a library for verifying that data… everit-org/json-schema — This project is a Java library designed to validate JSON documents against defined schema specifications. It functions… java-json-tools/json-schema-validator — This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against… voxpupuli/json-schema — This library is a Ruby-based validation engine designed to verify JSON data structures against official schema… epoberezkin/ajv — Ajv is a JSON Schema validator and schema compilation engine used to verify that JavaScript objects conform to… jquense/yup — Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as…