Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks.
Principalele funcționalități ale jquense/yup sunt: Data Validation Schemas, Runtime Value Validation, Schema Validation, Data Coercion Utilities, Data Schemas, Data Type Coercion, Coercion Pipelines, Schema Type Synchronization.
Alternativele open-source pentru jquense/yup includ: open-circle/valibot — Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments. hapijs/joi — Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It… ajv-validator/ajv — Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript… ianstormtaylor/superstruct — Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined… yiminghe/async-validator — async-validator is a JavaScript schema validation library and asynchronous data validation engine. It verifies complex… colinhacks/zod — Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It…
Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments.
Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It functions as an object schema validator and parser, ensuring that input data matches specific types and formats before it is processed by an application. The library features a conditional validation engine capable of dynamic schema enforcement, where validation logic and dependencies change based on the values of other keys within an object. It also serves as a data casting and sanitization tool, transforming input values into target types and removing sensitive keys from the
Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it
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