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ValidatorJs

ci Latest Version on NPM Software License npm npm code style

The ValidatorJs library makes data validation in JavaScript very easy in both the browser and Node.js. This library was forked from ValidatorJs to re-write in typescript to add more rules and features.

Why use ValidatorJs?

  • Works in both the browser and Node.
  • Readable and declarative validation rules.
  • Error messages with multilingual support.
  • CommonJS/Browserify support.
  • ES6 support.
  • Re-written in Typescript

Installation

Using pnpm

pnpm add @chantouchsek/validatorjs

Using npm

npm install @chantouchsek/validatorjs

Using yarn

yarn add @chantouchsek/validatorjs

Basic Usage

import { Validator } from '@chantouchsek/validatorjs'

const data = { email: 'ada@example.com' }
const rules = { email: 'required|email' }
const options = { customAttributes: { email: 'Email address' } }
const validation = new Validator(data, rules, options)
validation.passes() // => true

data {Object} - The data you want to validate

rules {Object} - Validation rules

options {Object} - Optional validation and message configuration

  • Options
    • locale?: LangTypes | Select a bundled locale
    • confirmedReverse?: boolean | Optional showing error message on confirmation field instead of password
    • customMessages?: Record<string, any> | Optional custom error messages to return
    • customAttributes?: Record<string, any> | Optional custom attribute name to return
    • defaultAttributeName?: Partial<Record<LangTypes, string>> | Replace :attribute for the selected locale

Examples below use TypeScript and the package's named Validator export. Synchronous passes() and fails() return booleans; callback-based validation returns void. passesAsync() always returns Promise<boolean> for either kind of rule. Each validation run replaces the instance's previous errors and error count.

Example 1 - Passing Validation

import { Validator } from '@chantouchsek/validatorjs'

const data = {
  age: 28,
  email: 'johndoe@gmail.com',
  name: 'John',
}

const rules = {
  age: 'min:18',
  email: 'required|email',
  name: 'required',
}

const validation = new Validator(data, rules)

validation.passes() // => true
validation.fails() // => false

To apply validation rules to the data object, use the same object key names for the rules object.

Example 2 - Failing Validation

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    email: 'not an email address.com',
    name: 'D',
  },
  {
    email: 'required|email',
    name: 'size:3',
  },
)

validation.fails() // => true
validation.passes() // => false

// Error messages
validation.errors.first('email') // => 'The email format is invalid.'
validation.errors.get('email') // => ['The email format is invalid.']
validation.errors.has('name') // => true
validation.errorCount // => 2
validation.errors.all() // => { email: ['The email format is invalid.'], name: ['The name must be 3 characters.'] }

Example 3 - With Default Attribute Name

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    email: 'not an email address.com',
    name: 'D',
  },
  {
    email: 'required|email',
    name: 'size:3',
  },
  {
    locale: 'ja',
    defaultAttributeName: {
      en: '',
      ja: 'この項目',
    },
  },
)

validation.fails() // => true
validation.passes() // => false

// Error messages
validation.errors.first('email') // => 'この項目は正しいメールアドレスを入力してください。'

Optional fields, required, sometimes, and present

An ordinary rule such as email skips missing, undefined, null, and empty-string values. Add required to reject them. sometimes skips the entire field only when the key is missing; an explicitly supplied empty value still runs required. present currently rejects both missing keys and undefined, but accepts null, empty strings, zero, false, and empty arrays.

import { Validator } from '@chantouchsek/validatorjs'

new Validator({}, { email: 'email' }).passes() // => true
new Validator({ email: '' }, { email: 'email' }).passes() // => true
new Validator({}, { email: 'required|email' }).passes() // => false
new Validator({}, { email: 'sometimes|required|email' }).passes() // => true
new Validator({ email: '' }, { email: 'sometimes|required|email' }).passes() // => false
new Validator({ email: undefined }, { email: 'sometimes|required' }).passes() // => false
new Validator({ email: null }, { email: 'present' }).passes() // => true
new Validator({ email: undefined }, { email: 'present' }).passes() // => false
new Validator({}, { email: 'present' }).passes() // => false
new Validator({ count: 0, enabled: false }, { count: 'required', enabled: 'required' }).passes() // => true
new Validator({ tags: [] }, { tags: 'required|array' }).passes() // => false

required checks the non-whitespace string representation, so zero and false pass and an empty array fails. Arrays still run ordinary rules even when empty. Validation does not coerce input types: a numeric string can pass numeric while remaining a string in the returned data.

Nested Rules

Nested objects can also be validated. There are two ways to declare validation rules for nested objects. The first way is to declare the validation rules with a corresponding nested object structure that reflects the data. The second way is to declare validation rules with flattened key names. For example, to validate the following data:

import { Validator } from '@chantouchsek/validatorjs'

const data = {
  bio: {
    age: 28,
    education: {
      primary: 'Elementary School',
      secondary: 'Secondary School',
    },
  },
  name: 'John',
}
// Either nested rules or flattened paths can validate this data.
const nested = {
  bio: {
    age: 'min:18',
    education: {
      primary: 'string',
      secondary: 'string',
    },
  },
  name: 'required',
}

// OR

const flattened = {
  'bio.age': 'min:18',
  'bio.education.primary': 'string',
  'bio.education.secondary': 'string',
  'name': 'required',
}

new Validator(data, nested).passes() // => true
new Validator(data, flattened).passes() // => true

WildCards Rules

WildCards can also be validated.

import { Validator } from '@chantouchsek/validatorjs'

const data = {
  users: [
    {
      bio: {
        age: 28,
        education: {
          primary: 'Elementary School',
          secondary: 'Secondary School',
        },
      },
      name: 'John',
    },
  ],
}
const rules = {
  'users': 'required|array',
  'users.*.bio.age': 'min:18',
  'users.*.bio.education.primary': 'string',
  'users.*.bio.education.secondary': 'string',
  'users.*.name': 'required',
}

new Validator(data, rules).passes() // => true

const invalid = new Validator({ users: [{ name: '' }] }, { 'users.*.name': 'required' })
invalid.fails() // => true
invalid.errors.first('users.0.name') // => 'The users 0 name field is required.'

Use a rule on the parent array to require at least one item: wildcard rules alone have no entries to validate for a missing or empty array. Wildcards expand when the validator is constructed; create a new instance if the array structure changes.

Conditional required rules and comparisons

String-form comparison parameters are strings. Array-form parameters preserve their types, so use them when comparing a boolean or number.

import { Validator } from '@chantouchsek/validatorjs'

const input = {
  account: { kind: 'business' },
  company: '',
  password: 'secret123',
  password_confirmation: 'secret123',
  email: 'ada@example.com',
  emailAgain: 'ada@example.com',
  backupEmail: 'other@example.com',
}
const rules = {
  company: 'required_if:account.kind,business',
  password: 'required|confirmed',
  emailAgain: 'required|same:email',
  backupEmail: 'required|different:email',
}
const validation = new Validator(input, rules)
validation.fails() // => true
validation.errors.has('company') // => true
validation.errorCount // => 1

new Validator({ enabled: false }, { reason: [{ required_if: ['enabled', false] }] }).passes() // => false
new Validator({ status: 'draft' }, { title: 'required_unless:status,draft' }).passes() // => true
new Validator({ email: 'ada@example.com' }, { name: 'required_with:email' }).passes() // => false
new Validator({ email: 'ada@example.com' }, { name: 'required_without:email' }).passes() // => true
new Validator({ first: 'Ada', last: 'Lovelace' }, { name: 'required_with_all:first,last' }).passes() // => false
new Validator({ first: 'Ada' }, { name: 'required_without_all:first,last' }).passes() // => true

const users = { users: [{ needsPhone: true, phone: '' }, { needsPhone: false }] }
const userRules = { 'users.*.phone': [{ required_if: ['users.*.needsPhone', true] }] }
const perUser = new Validator(users, userRules)
perUser.fails() // => true
Object.keys(perUser.errors.all()) // => ['users.0.phone']

same and different use strict equality. Current limitations: comparison paths through arrays do not resolve correctly for these two rules, and confirmed looks up a top-level confirmation field. The with/without conditional rules use truthiness, so zero and false count as absent. Although their rule names below document multiple fields, required_with and required_without currently resolve only one path; use a single dependency until list handling is fixed.

Available Rules

Validation rules do not have an implicit 'required'. If a field is undefined or an empty string, it will pass validation. If you want a validation to fail for undefined or '', use the required rule.

accepted

The field under validation must be yes, on, 1 or true. This is useful for validating "Terms of Service" acceptance.

after:date

The field under validation must be after the date in the named top-level input field.

after_or_equal:date

The field under validation must be after or equal to the date in the named top-level input field.

alpha

The field under validation must be entirely alphabetic characters.

alpha_dash

The field under validation may have alphanumeric characters, as well as dashes and underscores.

alpha_num

The field under validation must be entirely alphanumeric characters.

array

The field under validation must be an array.

before:date

The field under validation must be before the date in the named top-level input field.

before_or_equal:date

The field under validation must be before or equal to the date in the named top-level input field.

between:min,max

The field under validation must have a size between the given min and max. Strings, numbers, and arrays are evaluated in the same fashion as the size rule.

boolean

The field under validation must be a boolean value of the form true, false, 0, 1, 'true', 'false', '0' , '1',

confirmed

The field under validation must have a matching field of foo_confirmation. For example, if the field under validation is password, a matching password_confirmation field must be present in the input.

date

The field under validation must be a valid date format which is acceptable by Javascript's Date object.

digits:value

The field under validation must be numeric and must have an exact length of value.

digits_between:min,max

The current implementation checks that the numeric value is between min and max; it does not check digit count despite the rule's name and error message.

different:attribute

The given field must be different from the field under validation.

email

The field under validation must be formatted as an e-mail address.

hex

The field under validation should be a hexadecimal format. Useful in combination with other rules, like hex|size:6 for hex color code validation.

in:foo,bar,...

The field under validation must be included in the given list of values. The field can be an array or string.

integer

The field under validation must have an integer value.

max:value

Validate that an attribute is no greater than a given size

Note: Maximum checks are inclusive.

Example 1 - Max validation

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  phone: 'required|digits:11|max:11',
}
const input = {
  phone: '01234567890',
}
new Validator(input, rules).passes() // => true

Example 2 - Max validation

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  phone: 'integer|max:16',
}
const input = {
  phone: '18',
}
new Validator(input, rules).passes() // => false

min:value

Validate that an attribute is at least a given size.

Note: Minimum checks are inclusive.

Example 1 - Min validation

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  phone: 'required|digits:11|min:11',
}
const input = {
  phone: '01234567890',
}
new Validator(input, rules).passes() // => true

Example 2 - Min validation

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  phone: 'integer|min:11',
}
const input = {
  phone: '18',
}
new Validator(input, rules).passes() // => true

not_in:foo,bar,...

The field under validation must not be included in the given list of values.

numeric

Validate that an attribute is numeric. The string representation of a number will pass.

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  amount: 'numeric|digits:5',
}
new Validator({ amount: '12345' }, rules).passes() // => true

present

The field under validation must have a value other than undefined, but can be empty.

required

Rejects null and undefined, then checks that the string representation contains at least one non-whitespace character. Zero and false pass; empty arrays fail.

required_if:another_field,value

The field under validation must be nonempty if the other field strictly equals the supplied value.

required_unless:another_field,value

The field under validation must be nonempty unless the other field strictly equals the supplied value.

required_with:foo,bar,...

The field under validation must be present and not empty only if any of the other specified fields are present.

required_with_all:foo,bar,...

The field under validation must be present and not empty only if all the other specified fields are present.

required_without:foo,bar,...

The field under validation must be present and not empty only when any of the other specified fields are not present.

required_without_all:foo,bar,...

The field under validation must be present and not empty only when all the other specified fields are not present.

sometimes

In some situations, you may wish to run validation checks against a field only if that field is present in the data being validated. To quickly accomplish this, add the sometimes rule to your rule list:

import { Validator } from '@chantouchsek/validatorjs'

const rules = {
  email: 'sometimes|required|email',
}
new Validator({}, rules).passes() // => true
new Validator({ email: '' }, rules).passes() // => false

In the example above, the email field will only be validated if it is present in the input.

same:attribute

The given field must match the field under validation.

size:value

The field under validation must have a size matching the given value. For string data, value corresponds to the number of characters. For numeric data, value corresponds to a given integer value.

string

The field under validation must be a string.

url

Validate that an attribute has a valid URL format

regex:pattern

The field under validation must match the given regular expression.

Note: When using the regex pattern, it may be necessary to specify rules in an array instead of using pipe delimiters, especially if the regular expression contains a pipe character. For each backward slash that you used in your regex pattern, you must escape each one with another backward slash.

Example 3 - Regex validation

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    name: 'Doe',
    salary: '10,000.00',
    yearOfBirth: '1980',
  },
  {
    name: 'required|size:3',
    salary: ['required', 'regex:/^(?!0\\.00)\\d{1,3}(,\\d{3})*(\\.\\d\\d)?$/'],
    yearOfBirth: ['required', 'regex:/^(19|20)[\\d]{2,2}$/'],
  },
)

validation.fails() // => false
validation.passes() // => true

Example 4 - Type Checking Validation

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    age: 30,
    name: '',
  },
  {
    age: ['required', { in: [29, 30] }],
    name: [{ required_if: ['age', 30] }],
  },
)

validation.fails() // => true
validation.passes() // => false

Register Custom Validation Rules

Use Validator.register(name, callbackFn, errorMessage?).

name {String} - The name of the rule.

callbackFn {Function} - Returns a boolean to represent a successful or failed validation.

errorMessage {String} - An optional string where you can specify a custom error message. :attribute inside errorMessage will be replaced with the attribute name.

import { Validator } from '@chantouchsek/validatorjs'

Validator.register(
  'telephone',
  (value: unknown, _requirement: unknown, _attribute: string): boolean =>
    typeof value === 'string' && /^\d{3}-\d{3}-\d{4}$/.test(value),
  'The :attribute is not in the format XXX-XXX-XXXX.',
)

const validation = new Validator({ phone: '123-456-7890' }, { phone: 'required|telephone' })
validation.passes() // => true
const invalid = new Validator({ phone: '123' }, { phone: 'required|telephone' })
invalid.fails() // => true
invalid.errors.first('phone') // => 'The phone is not in the format XXX-XXX-XXXX.'

The callback receives (value, requirement, attribute). A rule without a parameter receives undefined as its requirement. Ordinary custom rules skip missing/empty values; combine them with required, or use registerImplicit for a custom rule that must run on empty input. Registrations are shared by all validator instances.

Asynchronous Validation

Register an asynchronous rule which accepts a response callback as its fourth argument. Call that callback exactly once, including on failures; returning a Promise from the rule does not resolve validation automatically.

import { Validator } from '@chantouchsek/validatorjs'

type Respond = (passed?: boolean, message?: string) => void
Validator.registerAsync(
  'username_available',
  (username: string, _requirement: unknown, _attribute: string, respond: Respond): void => {
    setTimeout(() => {
      if (username === 'taken') respond(false, 'Username has already been taken.')
      else respond()
    }, 0)
  },
  'The :attribute is unavailable.',
)

const validator = new Validator(
  {
    username: 'taken',
  },
  {
    username: 'required|min:3|username_available',
  },
)

const passed = await validator.passesAsync()
passed // => false
validator.errors.first('username') // => 'Username has already been taken.'

This example uses top-level await in an ES module; it can also run inside an async function. passesAsync() resolves true or false after validation finishes; read errors and errorCount on the instance afterward. Errors thrown while invoking validation, such as an unknown rule, reject the Promise instead of resolving false. Exceptions thrown later in application-managed timers are not automatically captured, and custom async rules must still call their response callback.

It also supports synchronous rules without a separate wrapper:

import { Validator } from '@chantouchsek/validatorjs'

const validator = new Validator({ email: 'ada@example.com' }, { email: 'required|email' })
const passed: boolean = await validator.passesAsync()
passed // => true
validator.errors.all() // => {}

The callback APIs remain available: when async rules are present, passes(callback) and fails(callback) require a callback. checkAsync(onPass, onFail) handles both outcomes and returns void. Complete one validation run before starting another on the same instance. A custom rule that never responds still leaves validation pending; passesAsync() does not add a timeout or adopt returned Promises from custom rules.

Working with validated input

Use validated() method to retrieve only the validated data and to filter out attributes not found on rules provided.

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    age: 28,
    email: 'johndoe@gmail.com',
    gender: 'male',
    name: 'John',
  },
  {
    age: 'min:18',
    name: 'required',
  },
)
validation.validated() // => { name: 'John', age: 28 }

validated() method will throw an error when current validation is failing.

import { Validator } from '@chantouchsek/validatorjs'

const validation = new Validator(
  {
    age: 28,
    email: 'johndoe@gmail.com',
    gender: 'male',
    name: 'John',
  },
  {
    age: 'min:40',
    name: 'required',
  },
)
validation.validated() // throws: Validation failed!

validated() also works with asynchronous validation. Its first callback receives the filtered data as its first argument; the second callback handles failure.

import { Validator } from '@chantouchsek/validatorjs'

type Respond = (passed?: boolean, message?: string) => void
Validator.registerAsync('allowed_name', (value: string, _requirement: unknown, _attribute: string, respond: Respond): void => {
  setTimeout(() => respond(value !== 'blocked'), 0)
}, 'The :attribute is blocked.')

const validation = new Validator(
  {
    age: 28,
    email: 'johndoe@gmail.com',
    gender: 'male',
    name: 'John',
  },
  {
    age: 'min:18',
    name: 'required|allowed_name',
  },
)
const data = await new Promise<Record<string, unknown>>((resolve, reject) => {
  validation.validated(
    (validated: Record<string, unknown>) => resolve(validated),
    () => reject(new Error('Validation failed')),
  )
})
data // => { name: 'John', age: 28 }

For nested data, place rules on the leaf fields you want returned:

import { Validator } from '@chantouchsek/validatorjs'

const input = {
  user: { name: 'Ada', secret: 'hidden' },
  items: [{ sku: 'A1', price: 10, internal: 'hidden' }],
  extra: 'hidden',
}
const rules = { 'user.name': 'required', 'items.*.sku': 'required', 'items.*.price': 'numeric' }
new Validator(input, rules).validated() // => { user: { name: 'Ada' }, items: [{ sku: 'A1', price: 10 }] }

validated() checks the input again and returns a JSON-cloned projection, without type coercion or inferred output types. Use JSON-compatible input. Current limitations: validating only an array parent can remove its elements, unruled objects can remain as empty containers, and null as the entire input cannot be projected. Use leaf rules for predictable filtering; this method is not a general-purpose sanitizer.

Error Messages

This constructor will automatically generate error messages for validation rules that failed.

If there are errors, the Validator instance will have its errors property object populated with the error messages for all failing attributes. The methods and properties on the errors property object are:

.first(attribute)

returns the first error message for an attribute, or undefined when none exists

.get(attribute)

returns an array of error messages for an attribute, or an empty array if there are no errors

.all()

returns an object containing all error messages for all failing attributes

.has(attribute)

returns true if error messages exist for an attribute, false otherwise

.errorCount

The number of failed rules on the validator instance (validation.errorCount), not a property on validation.errors.

import { Validator } from '@chantouchsek/validatorjs'

const input = { email: 'invalid' }
const rules = { email: 'required|email' }
const validation = new Validator(input, rules)
validation.fails()
validation.errors.first('email') // => 'The email format is invalid.'
validation.errors.get('email') // => ['The email format is invalid.']

Custom Error Messages

Pass overrides in the third argument's customMessages property. Use the rule name for all fields, or rule.attribute for a particular field.

import { Validator } from '@chantouchsek/validatorjs'

const input = {
  name: '',
}

const rules = {
  name: 'required',
}

const validation = new Validator(input, rules, {
  customMessages: { required: 'You forgot to give a :attribute' },
})
validation.passes() // => false
validation.errors.first('name') // => 'You forgot to give a name'

Some validators have string and numeric versions. You can change them too.

import { Validator } from '@chantouchsek/validatorjs'

const input = {
  username: 'myusernameistoolong',
}

const rules = {
  username: 'max:16',
}

const validation = new Validator(input, rules, {
  customMessages: {
    max: {
      string: 'The :attribute is too long. Max length is :max.',
    },
  },
})
validation.passes() // => false
validation.errors.first('username') // => 'The username is too long. Max length is 16.'

You can even provide error messages on a per-attribute basis! Just set the message's key to 'validator.attribute'

import { Validator } from '@chantouchsek/validatorjs'

const input = { email: '', name: '' }
const rules = { email: 'required', name: 'required' }

const validation = new Validator(input, rules, {
  customMessages: { 'required.email': 'Without an :attribute we can\'t reach you!' },
})

validation.passes() // => false
validation.errors.first('name') // => 'The name field is required.'
validation.errors.first('email') // => 'Without an email we can\'t reach you!'

Custom Attribute Names

Using config for custom attribute name

import { Validator } from '@chantouchsek/validatorjs'

const validator = new Validator(
  { form: { name: null } },
  { form: { age: 'required', name: 'required' } },
  {
    customAttributes: { form: { name: 'Username' } },
    customMessages: {
      required: 'The :attribute must be filled.',
    },
  },
)
if (validator.fails())
  validator.errors.first('form.name') // => 'The Username must be filled.'

To display a custom "friendly" attribute name in error messages, use .setAttributeNames()

import { Validator } from '@chantouchsek/validatorjs'

const validator = new Validator({ name: '' }, { name: 'required' })
validator.setAttributeNames({ name: 'custom_name' })
if (validator.fails())
  validator.errors.first('name') // => 'The custom_name field is required.'

Alternatively you can supply global custom attribute names in your lang with the attributes property.

You can also configure a custom attribute formatter:

import { Validator } from '@chantouchsek/validatorjs'

// Configure global formatter.
Validator.setAttributeFormatter((attribute: string) => {
  return attribute.replace(/_/g, ' ')
})

// Or configure formatter for particular instance.
const validator = new Validator({ first_name: '' }, { first_name: 'required' })
validator.setAttributeFormatter((attribute: string) => {
  return attribute.replace(/_/g, ' ')
})
if (validator.fails())
  validator.errors.first('first_name') // => 'The first name field is required.'

Note: by default all _ characters will be replaced with spaces.

Language Support

Locales are bundled in the public package entry. Use named imports in Node or a browser bundler; no separate dist/lang/*.js import is needed. English is the initial default. LangTypes lists the supported locale codes.

import type { ValidatorOptions } from '@chantouchsek/validatorjs'
import { Validator } from '@chantouchsek/validatorjs'

const previousLocale = Validator.getDefaultLang()
const options: ValidatorOptions = { locale: 'fr', customAttributes: { name: 'Nom' } }
const validation = new Validator({ name: '' }, { name: 'required' }, options)
validation.fails() // => true
validation.errors.first('name') // => 'Le champ Nom est requis.'
Validator.useLang(previousLocale)

Currently, constructing a validator with locale also changes the global default for later validators and custom-rule registrations. Set or restore the default explicitly in shared applications. Use a supported locale; unknown codes have no automatic fallback. To set a default for subsequent instances:

import { Validator } from '@chantouchsek/validatorjs'

const previousLocale = Validator.getDefaultLang()
Validator.useLang('km')
Validator.getDefaultLang() // => 'km'
const validation = new Validator({ name: '' }, { name: 'required' })
validation.fails() // => true
validation.errors.first('name') // => 'ឈ្មោះ ត្រូវតែបញ្ចូលជាដាច់ខាត។'
Validator.useLang(previousLocale)

getMessages returns a shared locale dictionary. Copy it before overriding messages with setMessages; preserve the other templates so unrelated rules can still render:

import { Validator } from '@chantouchsek/validatorjs'

const original = Validator.getMessages('en')
Validator.setMessages('en', { ...original, required: 'Whoops, :attribute is required.' })
const validation = new Validator({}, { name: 'required' }, { locale: 'en' })
validation.fails() // => true
validation.errors.first('name') // => 'Whoops, name is required.'
Validator.setMessages('en', original)

If you don't see support for your language, please add one to src/lang!

Development

Use pnpm 10.26.0 and Node.js 22.22.2+, 24.15.0+, or 26+ for development. These requirements come from the development tools; the published package still supports Node.js ^12.20.0 || >=14.13.0.

pnpm install --frozen-lockfile
pnpm test:cov
pnpm typecheck
pnpm lint
pnpm build
pnpm test:package

The package check installs a local tarball into a temporary project, verifies ESM and CommonJS behavior, and checks both declaration formats. To check an older consumer runtime, pass its Node executable to pnpm test:package /path/to/node; the check itself must run on a development Node version.

License

Copyright © 2020-Present Chantouch Sek

Released under the MIT license

Credits

ValidatorJs re-written by Chantouch Sek

E-Mail: chantouchsek.cs83@gmail.com

Twitter @DevidCs83

Website: Chantouch

About

The validator-js library makes data validation in JavaScript very easy in both the browser and Node.js.

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