ajv vs json-schema vs joi vs yup vs jsonschema vs superstruct vs z-schema vs tv4

Package	Downloads	Stars	Size	Issues	Publish	License

ajv	150,584,274	14,323	1.03 MB	299	a year ago	MIT
json-schema	25,570,079	526	-	30	4 years ago	(AFL-2.1 OR BSD-3-Clause)
joi	12,217,589	21,143	558 kB	185	3 days ago	BSD-3-Clause
yup	7,753,559	23,502	270 kB	242	5 days ago	MIT
jsonschema	3,935,368	1,860	83.5 kB	66	7 months ago	MIT
superstruct	2,892,881	7,129	182 kB	98	a year ago	MIT
z-schema	2,405,663	340	2.07 MB	39	a year ago	MIT
tv4	2,252,403	1,169	-	116	8 years ago	-

Validation Approach

ajv:
ajv (Another JSON Validator) is a JSON Schema validator that focuses on performance and compliance with JSON Schema standards. It validates data against schemas defined in JSON Schema format, supporting both synchronous and asynchronous validation. ajv is known for its speed and efficiency, making it suitable for applications that require high-performance validation.
json-schema:
json-schema is a library for working with JSON Schema, a standard for describing the structure of JSON data. This library provides tools for validating JSON data against schemas, generating schemas from JavaScript objects, and serializing/deserializing data according to schema definitions. It is useful for ensuring that JSON data adheres to a specified format, making it valuable for API validation and data interchange.
joi:
joi is a powerful schema description language and data validator for JavaScript. It allows developers to define complex validation rules using a fluent, chainable API. joi is particularly well-suited for validating objects, arrays, and primitive types, and it provides detailed error messages when validation fails. It is widely used in Node.js applications, especially for validating request payloads in APIs.
yup:
yup is a JavaScript schema builder for value parsing and validation. It is particularly popular in React applications for form validation. yup allows developers to define schemas for objects, arrays, and primitive values, and it supports asynchronous validation, custom error messages, and nested structures. It is designed to be easy to use and integrates well with form libraries like Formik.
jsonschema:
jsonschema is a simple and lightweight library for validating JSON data against JSON Schema definitions. It provides an easy-to-use API for validating objects, arrays, and other JSON data types. The library supports custom validation functions and error handling, making it flexible for various use cases. It is particularly useful for validating data in web applications, APIs, and any JavaScript environment where JSON data needs to be validated.
superstruct:
superstruct is a tiny and fast library for creating simple, composable validators for JavaScript data. It allows developers to define data structures and validation rules using a straightforward API. superstruct is designed to be lightweight and easy to use, making it a great choice for projects that need quick and efficient data validation without the overhead of larger libraries.
z-schema:
z-schema is a fast and extensible JSON Schema validator that supports draft-04, draft-06, and draft-07 specifications. It is designed for high performance and allows for custom validation logic, making it suitable for complex validation scenarios. z-schema also provides detailed error reporting and supports asynchronous validation, making it a versatile choice for applications that require robust JSON data validation.
tv4:
tv4 is a fast and lightweight validator for JSON Schema (Draft 4). It provides a simple API for validating JSON data against schemas defined in the JSON Schema format. tv4 is known for its speed and simplicity, making it a good choice for projects that need quick validation without a lot of complexity. It also supports asynchronous validation and custom error messages.

Error Handling

ajv:
ajv provides detailed error reporting that includes the path to the invalid data, the expected schema, and the actual value that failed validation. This information is useful for debugging and for providing clear feedback to users or developers.
json-schema:
json-schema provides basic error handling for validation failures. When data does not conform to the defined schema, the library generates error messages that indicate the nature of the violation. However, the error handling capabilities are relatively simple compared to more feature-rich libraries.
joi:
joi generates rich error messages that are easy to understand. When validation fails, joi returns an error object that contains information about the failed validation, including the path to the invalid value, the type of validation that failed, and a customizable error message. This makes it easy to identify and handle validation errors in a user-friendly way.
yup:
yup offers comprehensive error handling with support for asynchronous validation and nested structures. When validation fails, yup provides detailed error messages that can be easily accessed and displayed to users. The library also supports custom error messages and validation rules, allowing for greater flexibility in how errors are handled and presented.
jsonschema:
jsonschema provides clear error messages when validation fails. The library returns an error object that includes information about the validation failures, such as the path to the invalid data and the reasons for the failure. This makes it easy to understand what went wrong and how to address it.
superstruct:
superstruct provides simple error handling for validation failures. When data does not conform to the defined structure, superstruct throws an error that includes information about the validation failure. The error message includes the path to the invalid value and a description of the validation rule that was not met, making it easy to identify the issue.
z-schema:
z-schema provides detailed error messages for validation failures, including information about the schema that was violated and the path to the invalid data. The error reporting is designed to be clear and informative, making it easier to debug validation issues.
tv4:
tv4 provides error messages for validation failures, including the path to the invalid data and a description of the validation error. The error reporting is straightforward and helps developers understand why the validation failed.

Asynchronous Validation

ajv:
ajv supports asynchronous validation out of the box, allowing for validation of data that may involve asynchronous operations, such as checking values against a database or an external API. This feature is particularly useful for validating data that requires external checks or for implementing custom asynchronous validation logic.
json-schema:
json-schema does not natively support asynchronous validation, as it is primarily focused on synchronous validation of JSON data against defined schemas. However, developers can implement custom asynchronous validation logic outside of the library if needed.
joi:
joi supports asynchronous validation, making it suitable for scenarios where validation requires external data or operations. Developers can define asynchronous validation rules using promises or async/await, allowing for more complex validation logic that goes beyond simple synchronous checks.
yup:
yup fully supports asynchronous validation, making it a great choice for scenarios where validation may involve external data or operations. It allows for the use of promises and async/await in validation rules, enabling more complex and dynamic validation logic.
jsonschema:
jsonschema is primarily designed for synchronous validation of JSON data against schemas. It does not provide built-in support for asynchronous validation, but developers can extend the library or implement asynchronous validation logic separately if required.
superstruct:
superstruct does not support asynchronous validation out of the box, as it is designed for simple synchronous validation of data structures. However, developers can create custom asynchronous validation functions and integrate them into their validation logic if needed.
z-schema:
z-schema primarily focuses on synchronous validation of JSON data against schemas. It does not provide built-in support for asynchronous validation, but developers can implement custom asynchronous validation logic if needed.
tv4:
tv4 is designed for synchronous validation of JSON Schema (Draft 4) and does not support asynchronous validation. It focuses on providing fast and efficient validation for JSON data against schemas without the complexity of asynchronous operations.

Code Examples

ajv:

ajv Example

const Ajv = require('ajv');
const ajv = new Ajv();

const schema = { type: 'object', properties: { name: { type: 'string' } }, required: ['name'] };
const validate = ajv.compile(schema);

const data = { name: 'John' };
const valid = validate(data);
if (!valid) console.log(validate.errors);

json-schema:

json-schema Example

const { Validator } = require('json-schema');
const validator = new Validator();

const schema = { type: 'object', properties: { name: { type: 'string' } }, required: ['name'] };
const data = { name: 'John' };
const valid = validator.validate(data, schema);
if (!valid) console.log(validator.errors);

joi:

joi Example

const Joi = require('joi');

const schema = Joi.object({ name: Joi.string().required() });
const { error, value } = schema.validate({ name: 'John' });
if (error) console.log(error.details);

yup:

yup Example

const yup = require('yup');

const schema = yup.object({ name: yup.string().required() });
const data = { name: 'John' };
const isValid = await schema.isValid(data);
if (!isValid) console.log('Invalid data');

jsonschema:

jsonschema Example

const { Validator } = require('jsonschema');
const validator = new Validator();

const schema = { type: 'object', properties: { name: { type: 'string' } }, required: ['name'] };
const data = { name: 'John' };
const validationResult = validator.validate(data, schema);
if (!validationResult.valid) {
  console.log(validationResult.errors);
}

superstruct:

superstruct Example

const { struct } = require('superstruct');

const User = struct({ name: 'string' });
const user = { name: 'John' };
const isValid = User(user);
if (!isValid) console.log('Invalid user');

z-schema:

z-schema Example

const ZSchema = require('z-schema');
const validator = new ZSchema();

const schema = { type: 'object', properties: { name: { type: 'string' } }, required: ['name'] };
const data = { name: 'John' };
const valid = validator.validate(data, schema);
if (!valid) console.log(validator.getLastErrors());

tv4:

tv4 Example

const tv4 = require('tv4');
const schema = { type: 'object', properties: { name: { type: 'string' } }, required: ['name'] };
const data = { name: 'John' };
const valid = tv4.validate(data, schema);
if (!valid) console.log(tv4.error);