Json Schema

Json Schema - validate JSON against schema sp… | Awesome Repos

Features

Structural Data Validators - Validates JSON documents against defined schema specifications to ensure structural integrity.
JSON Schema Validation - Provides a standards-compliant engine for validating JSON documents against defined schema specifications.
Request Data Integrity - Validates incoming JSON payloads against schema specifications to ensure data integrity before backend processing.
Java Validation Libraries - Offers a Java-native library for enforcing structural constraints and data integrity through configurable validation rules.
Pluggable Body Validators - Allows developers to inject custom validation logic and pattern-matching engines to extend standard schema enforcement.
Data Normalization Utilities - Normalizes incoming data by coercing types and injecting default values to ensure consistent internal data models.
Data Type Coercion - Automatically transforms string-encoded inputs into primitive types during validation to ensure schema compatibility.
First Matching Item Retrievers with Error Handling - Halts the validation process immediately upon encountering the first schema violation to save processing time.
Violation Reporters - Collects all schema errors found during validation into a single report for comprehensive data analysis.
Fail-Fast Execution Controls - Supports configurable execution modes to either halt immediately upon the first violation or collect all errors.
JSON Schema Reference Resolvers - Resolves schema references locally to simplify dependency tracking and avoid unnecessary network calls.
Schema Tree Traversers - Processes nested data structures by recursively walking the schema tree and applying validation rules at each node.
Schema Reference Resolution - Manages relative identifiers and external dependencies through a local registry to resolve complex data structures without network access.
Custom Format Validators - Allows registration of custom validation logic and pattern matching to handle specialized data formats.
Input Type Parsing - Transforms string-based inputs into numeric or boolean formats automatically during validation.
Strict Object Validation - Enforces strict object validation to ensure data conforms to defined schema requirements.
Schema Default Values - Fills missing properties in an input document with predefined default values from a schema during validation.
Validation Error Reporters - Generates detailed reports that pinpoint specific schema violations and provide exact locations of errors.
JSON Schema Implementations - Implements the official JSON Schema specification, including support for complex reference resolution.
Write-Only Access Modes - Validates objects against read-only or write-only constraints to ensure data access patterns align with schema permissions.
Primitive Type Schemas - Accepts string-encoded numbers or booleans to accommodate loosely typed input data.

Open-source alternatives to Json Schema

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julian/jsonschema
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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,
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python-jsonschema/jsonschema
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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
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java-json-tools/json-schema-validator
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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
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ianstormtaylor/superstruct
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Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined shapes and types. It functions as a composable schema builder and a TypeScript schema validator, ensuring that runtime data checks remain synchronized with static type definitions. The library features a data coercion engine that transforms input values or injects default values before the validation process is executed. It enables the creation of complex validation rules by nesting, merging, or omitting properties from existing structures. Its capabilities cover the validatio
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See all 30 alternatives to Json Schema

everit-orgjson-schema

Features

Open-source alternatives to Json Schema

Julian/jsonschema

python-jsonschema/jsonschema

java-json-tools/json-schema-validator

ianstormtaylor/superstruct

Star history

Open-source alternatives to Json Schema

Julian/jsonschema

python-jsonschema/jsonschema

java-json-tools/json-schema-validator

ianstormtaylor/superstruct