What are the main features of java-json-tools/json-schema-validator?

The main features of java-json-tools/json-schema-validator are: JSON-Verarbeitung, JSON Schema Validation, Java Validation Libraries, Schema Reference Resolution, Immutable Processors, Date and Time Libraries, Numeric Precision Constraints, Networked Schema Resolvers.

Json Schema Validator - JSON anhand von Schem…

Diese Bibliothek ist ein Java-basiertes Tool zur Durchsetzung von Datenstruktureinschränkungen und zur Verifizierung technischer Formate gegen definierte Schema-Spezifikationen. Sie fungiert als Verarbeitungsdienstprogramm, das komplexe Datenstrukturen parst und gleichzeitig externe Schema-Referenzen sowie zirkuläre Abhängigkeiten verwaltet.

Die Engine zeichnet sich durch ein unveränderliches Prozessor-Design aus, das eine thread-sichere, gleichzeitige Validierung ermöglicht, ohne dass eine externe Synchronisation erforderlich ist. Sie verwendet Arithmetik mit beliebiger Präzision, um numerische Einschränkungen zu bewerten, was häufige Rundungsfehler bei Gleitkommazahlen verhindert, und nutzt zeichenbasierte Verarbeitung, um eine Unicode-bewusste String-Validierung für komplexe Symbole sicherzustellen. Entwickler können die Kern-Pipeline erweitern, indem sie benutzerdefinierte Schlüsselwörter und Format-Handler registrieren, um spezialisierte Geschäftslogik zu implementieren.

Das Projekt bietet ein umfassendes Schema-Management, einschließlich struktureller Compliance-Prüfung gegen Meta-Schemas, URI-basierter Abhängigkeitsauflösung und konfigurierbarem Schema-Laden. Es unterstützt detaillierte Fehlerberichte, die die Validierung über Kindelemente hinweg fortsetzen, selbst nach Fehlern bei Elternelementen, und enthält eine Befehlszeilenschnittstelle für die terminalbasierte Datenverifizierung.

Features

JSON-Verarbeitung - Provides a robust engine for parsing, transforming, and validating complex data structures against defined schema specifications.
JSON Schema Validation - Validates JSON data against schema specifications with support for version switching and high-precision numeric values.
Java Validation Libraries - Provides a Java-based tool for enforcing data structure constraints and technical formats using standard schema definitions.
Schema Reference Resolution - Fetches and processes external schema definitions using various URI schemes while managing custom handlers and detecting circular dependencies.
Immutable Processors - Performs validation using immutable processors that allow a single instance to be shared safely across multiple concurrent application threads.
Date and Time Libraries - Verifies date and time strings against international standards with support for variable precision and time zones.
Numeric Precision Constraints - Enforces numeric precision constraints using arbitrary-precision arithmetic to avoid floating-point inaccuracies.
Networked Schema Resolvers - Resolves and loads external schema definitions across network protocols while managing URI namespaces.
High Precision Mathematics - Verifies numeric and string data against strict constraints to prevent rounding errors and encoding issues.
Unicode Length Validations - Evaluates string constraints using character-level processing to correctly handle complex Unicode symbols.
Custom Validation Rules - Supports custom validation rules by allowing registration of unique keywords and format attributes.
Schema Keyword Functions - Allows developers to inject custom logic by registering new keywords and format handlers into the validation pipeline.
Domain-Specific Validation Rules - Enforces specialized business rules by extending standard validation logic with custom keywords and formats.
URI Namespace Redirectors - Controls how schemas are retrieved by preloading files, redirecting URI namespaces, and registering custom downloaders for various network protocols.
Validation Error Reporters - Supports detailed error reporting that continues validation across child elements even after parent failures to ensure comprehensive compliance tracking.
Arbitrary-Precision Arithmetic - Uses arbitrary-precision arithmetic to evaluate numeric constraints and prevent floating-point rounding errors.
Constraint-Based JSON Validators - Provides a standalone command-line interface for validating JSON documents against schema requirements.
Multi-Threaded Batch Processing - Executes thread-safe validation tasks concurrently to maintain high performance during heavy data processing.
Recursive Schema Resolvers - Resolves external schema dependencies via URI and detects circular references to prevent infinite processing loops.
Regular Expression Validations - Applies regular expressions to ensure uniform string validation across different computing environments.
Meta-Schema Validations - Verifies that schema definitions are structurally correct and fully compliant with the requirements of the core meta-schema.
Immutable State Patterns - Encapsulates validation logic in immutable, thread-safe objects to enable concurrent execution without external synchronization.
String Format Validators - Validates string values against technical standards including base64, cryptographic hashes, and URI templates.

python-jsonschema/jsonschema

4,951Auf GitHub ansehen

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

Julian/jsonschema

4,951Auf GitHub ansehen

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,

voxpupuli/json-schema

1,645Auf GitHub ansehen

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

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

java-json-toolsjson-schema-validator