hapijs/joi

Features

• Data Validation Schemas - Implements a library for defining data structures and enforcing strict type safety and validation rules on input data.
• Data Type Coercion - Provides built-in mechanisms to coerce input values into target types before applying validation rules.
• Data Type Casting - Converts input values into required types, such as transforming numeric strings into numbers, before validation.
• Data Validation - Enforces type safety and constraints on JavaScript data objects before processing.
• Data Validation Libraries - Defines schemas to validate, cast, and sanitize data objects in JavaScript environments.
• Conditional Validation Rules - Enforces validation rules dynamically based on the values of other keys within the object.
• Conditional Enforcement - Applies conditional validation rules that change based on other values present in a data object.
• Type Conversion and Casting - Transforms input values into target types and applies default values during validation.
• Schema Tree Traversers - Traverses hierarchical schema structures using a depth-first process to validate nested objects and arrays.
• Data Validation and Sanitization - Converts input types to required formats and removes sensitive keys from validated objects.
• Context-Aware State Engines - Uses a shared internal context to evaluate rules based on the state of other object keys.
• Cross-Field Dependencies - Links validation rules to the values of other keys within the same object or context.
• Cross-Field Dependency Validations - Enforces complex relationships between object keys, such as requiring specific pairs or forbidding certain combinations.
• Data Schema Validation - Enforces type safety and data consistency by validating objects against predefined rules.
• Data Type Validation - Enforces that values match specific primitive or complex types according to a defined schema.
• Object Schema Definitions - Provides utilities for defining and manipulating complex object structures and their properties through a schema-based approach.
• Recursive Validation Engines - Employs a recursive engine to handle nested data structures by dispatching validation logic across type hierarchies.
• Dependency Resolution - Resolves dependencies between fields to conditionally update validation requirements based on runtime input.
• Length Constraints - Constrains the number of items in arrays or keys in objects using length requirements.
• Complex Data Modeling - Defines strict relationships and dependencies between fields in large objects to maintain integrity.
• Alternative - Supports flexible input types by matching values against multiple possible schema definitions.
• Fluent Interface Patterns - Implements a fluent interface pattern for defining complex validation schemas via method chaining.
• Input Sanitization - Cleans and transforms raw input values by casting types and removing sensitive keys.
• Format Validators - Enforces specific string patterns for common formats like emails, URIs, and ISO dates.
• Custom Validation Extensions - Allows the addition of user-defined methods to base schema types to implement domain-specific validation logic.
• Custom Validation Rules - Provides a framework for extending validation logic with custom, domain-specific checks.
• Schema Default Values - Assigns fallback values to fields when input data is missing or undefined.
• Extensible Plugin Architectures - Features an extensible architecture that allows the injection of custom types and logic via plugins.
• Request Validation - Validates incoming HTTP request bodies and parameters to ensure data integrity.
• Data Utilities and Libraries - Powerful data validation library for JavaScript.
• Data Validation - Object schema description and validation language.

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