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Ajv is a JSON Schema validator and schema compilation engine used to verify that JavaScript objects conform to specific JSON Schema definitions. It functions as a data coercer and localization tool, allowing for the application of default values and the translation of validation error messages into different languages.
The main features of epoberezkin/ajv are: Data Schema Validation, JSON Schema Validation, Schema Compilers, Schema-Driven Data Sanitization, Just-in-Time Compilers, Schema-Driven Type Coercers, Data Type Casting, JSON Schema Reference Resolvers.
Projects with overlapping indexed features include: hapijs/joi — Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It… jquense/yup — Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as… python-jsonschema/jsonschema — This project is a JSON Schema validation library and framework used to verify that data instances conform to… julian/jsonschema — This project is a Python implementation of the JSON Schema specification, providing a library for verifying that data… aws-powertools/powertools-lambda-python — AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS… everit-org/json-schema — This project is a Java library designed to validate JSON documents against defined schema specifications. It functions…
Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It functions as an object schema validator and parser, ensuring that input data matches specific types and formats before it is processed by an application. The library features a conditional validation engine capable of dynamic schema enforcement, where validation logic and dependencies change based on the values of other keys within an object. It also serves as a data casting and sanitization tool, transforming input values into target types and removing sensitive keys from the
Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def
This project is a JSON Schema validation library and framework used to verify that data instances conform to declarative definitions. It functions as a validation engine that enforces structural constraints and data types, while also serving as a meta-validator to ensure schema definitions themselves are syntactically correct against official meta-schemas. The library is designed for extensibility, allowing users to define custom validation logic by mapping schema keywords to specialized callable functions. It includes a registry-based reference resolver for managing internal and external URI
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,