google/schema-dts
Schema Dts
Schema-dts is a type-safe library providing TypeScript interfaces for modeling structured data and interconnected graph relationships. It serves as a framework for defining and enforcing strict property requirements for JSON-LD objects, ensuring that metadata generated for web applications and search engines adheres to established vocabulary standards.
The project distinguishes itself by providing a comprehensive set of definitions for the Schema.org vocabulary, enabling developers to build complex, machine-readable data graphs with compile-time validation. It supports the composition of multiple object types and the linking of data nodes through unique identifiers, allowing for the representation of intricate relationships while maintaining data integrity.
Beyond core modeling, the library facilitates the generation of custom type definitions from external ontologies and supports the extension of standard schemas with proprietary metadata. It includes utilities for serializing structured data into safe, machine-readable formats and provides mechanisms to constrain action inputs and outputs within application logic. The package is distributed as a TypeScript library, enabling static type checking for structured data throughout the development lifecycle.
Features
- Search Engine Optimization - Implements standardized Schema.org vocabulary to improve how search engines interpret and display content from websites.
- JSON-LD Structured Data - Provides a comprehensive set of TypeScript interfaces for modeling and generating Schema.org-compliant JSON-LD structured data.
- Schema.org Type Definitions - Provides a collection of type definitions that conform to the Schema.org vocabulary and JSON-LD standards.
- Custom Type Constraint Enforcement - Applies compile-time validation to ensure structured data objects strictly adhere to predefined vocabulary property requirements.
- Type Safety Resets - Applies rigorous compile-time checks to complex data structures to prevent runtime errors when handling interconnected graph information.
- Schema Serializers - Converts strongly-typed objects into standardized JSON-LD strings to ensure machine-readable output for web document integration.
- Typed Configuration Schemas - Defines structured data objects using standard vocabulary specifications to ensure consistency and compliance with global data formatting requirements.
- Language-Specific Type Definitions - Transforms external ontology specifications into native language type definitions to ensure consistency with evolving data standards.
- Type-Safe Structured Data Frameworks - Enforces strict property requirements and data integrity for machine-readable metadata through a type-safe framework.
- Graph Data Models - Connects related entities using unique identifiers and graph structures to represent complex relationships between different pieces of information.
- Structured Data Schemas - Applies strict type definitions to structured data objects to ensure content conforms to expected property requirements and established schema standards.
- Custom Type Definitions - Builds tailored type definitions from external ontology files to support custom or versioned schema vocabularies within application logic.
- Type-to-Schema Generation - Creates type definitions from custom ontologies or specific versions of structured data vocabularies to ensure type safety across data models.
- Recursive Object Graph Hydration - Models interconnected data structures by defining relationships between entities through unique identifiers and nested object references.
- Entity-ID Linking - Builds and manages complex relationships between entities using unique identifiers to create machine-readable information graphs.
- TypeScript Type Synthesis - Uses structural typing to combine multiple schema definitions into single objects that satisfy complex graph requirements.
Star history
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