Meteor-Community-Packages/meteor-simple-schema

Features

• Meteor - Defining and enforcing data integrity rules for collections and objects within a Meteor application to ensure consistent data structures.
• Data Validation Libraries - Serves as a schema definition and validation tool integrated with the Meteor framework to ensure data integrity.
• Declarative Schemas - Enables declarative schema definition using a structured object-based syntax for complex nested data.
• Object Shape Validation - Validates data objects against defined schemas to ensure keys, types, and constraints match expected values.
• Data Validation Schemas - Provides a declarative system for defining data schemas and enforcing structural integrity across JavaScript applications.
• Inline Argument Validators - Validates method arguments against schemas to satisfy security requirements and ensure data integrity.
• Method Argument Validation - Verifies input arguments against defined schemas to ensure remote procedure calls receive valid and expected data structures.
• JavaScript Schema Validation - Acts as a comprehensive library for defining structural constraints and enforcing validation rules on complex nested JavaScript objects.
• Data Cleaning Procedures - Provides a data cleaning pipeline that automatically handles type casting, string trimming, and default value injection.
• Asynchronous Validators - Supports asynchronous validation logic using promises to handle complex business requirements dependent on external data.
• Conditional Validation Rules - Supports conditional validation based on the state of other fields to handle complex business requirements.
• Schema Subsets - The validation library extracts schema subsets by creating new schema instances from existing definitions, allowing for partial data validation in different application contexts.
• Structural Data Validators - Configures structural constraints including types, allowed values, and custom logic to meet complex business requirements.
• Data Sanitization - Cleans and normalizes incoming data by trimming strings, injecting defaults, and removing unauthorized keys.
• Schema-Driven Data Sanitization - Sanitizes data objects by trimming strings and removing unauthorized keys to ensure schema compatibility.
• Dot-Notation Nested Validators - Validates deeply-nested object and array structures using dot notation and array identifiers.
• Custom Validation Functions - Supports attaching custom synchronous or asynchronous functions to fields to enforce complex business rules.
• Data Schema Enforcement - Intercepts database operations to validate document updates and inserts against structural constraints before persistence.
• Schema Composition - Supports schema composition by merging multiple definitions to promote code reuse and consistency.
• Modifier Validations - Analyzes database update operations to ensure resulting document states remain compliant with defined schemas.
• Recursive Validation Engines - Features a robust engine for recursive validation across deep object hierarchies using dot notation.
• Database Operation Interceptors - Intercepts database operations to verify document updates against schema constraints before persistence.
• Reactive Form Validation - Links schema validation states to user interfaces to provide real-time error feedback.
• Schema Integrations - Integrates reactive validation by linking schema checks to reactive data sources for real-time state updates.
• Reactive Contexts - Maintains named validation contexts that trigger reactive interface updates when data integrity states change.

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