Dead simple Object schema validation

npm install jupp@0.26.0



🚨🚨 DISCONTINUED🚨🚨: After sync validations have been merged to the original https://github.com/jquense/yup development on this fork has been discontinued.

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Jupp started as a fork from https://github.com/jquense/yup and added, as a first major improvement, support for sync validations.

The rest of this README is still pretty much a copy of the original README and will be updated over time.

Jupp is a JavaScript object schema validator and object parser. The API and style is stolen heavily inspired by Joi, which is an amazing library but is generally too large and difficult to package for use in a browser. Jupp is a leaner in the same spirit without some of the fancy features. You can use it on the server as well, but in that case you might as well just use Joi.

Jupp is also a good bit less opinionated than joi, allowing for custom transformations and async validation. It also allows "stacking" conditions via when for properties that depend on more than one other sibling or child property. Jupp separates the parsing and validating functions into separate steps so it can be used to parse json separate from validating it, via the cast method.


npm install -S jupp

Jupp always relies on the Promise global object to handle asynchronous values as well Set. For browsers that do not support these, you'll need to include a polyfill, such as core-js:

import 'core-js/es6/promise';
import 'core-js/es6/set';


You define and create schema objects. Schema objects are immutable, so each call of a method returns a new schema object.

try it out using tonicdev! https://tonicdev.com/570c52590a85f71200eb09ba/jupp

var jupp = require('jupp');

var schema = jupp.object().shape({
  name: jupp.string().required(),
  age: jupp
  email: jupp.string().email(),
  website: jupp.string().url(),
  createdOn: jupp.date().default(function() {
    return new Date();

//check validity
    name: 'jimmy',
    age: 24,
  .then(function(valid) {
    valid; // => true

//you can try and type cast objects to the defined schema
  name: 'jimmy',
  age: '24',
  createdOn: '2014-09-23T19:25:25Z',
// => { name: 'jimmy', age: 24, createdOn: Date }

Using a custom locale dictionary

Allows you to customize the default messages used by Jupp, when no message is provided with a validation test. If any message is missing in the custom dictionary the error message will default to Jupp's one.

import setLocale from 'jupp';

  mixed: {
    default: 'Não é válido',
  number: {
    min: 'Deve ser maior que ${min}',

// Now use Jupp schemas AFTER you defined your custom dicionary
const schema = jupp.object().shape({
  name: jupp.string(),
  age: jupp.number().min(18),
schema.validate({ name: 'jimmy', age: 11 }).catch(function(err) {
  err.name; // 'ValidationError'
  err.errors; // => ['Deve ser maior que 18']



The module export.

var jupp = require('jupp');

jupp.boolean; // also aliased as jupp.bool


jupp.reach(schema: Schema, path: string, value: ?object, context: ?object): Schema

For nested schema's jupp.reach will retrieve a nested schema based on the provided path.

For nested schema that need to resolve dynamically, you can provide a value and optionally a context object.

var schema = object().shape({
  nested: object().shape({
    arr: array().of(object().shape({ num: number().max(4) })),

reach(schema, 'nested.arr.num');
reach(schema, 'nested.arr[].num');
reach(schema, 'nested.arr[1].num');
reach(schema, 'nested["arr"][1].num');

jupp.addMethod(schemaType: Schema, name: string, method: ()=> Schema): void

Adds a new method to the core schema types. A friendlier convenience method for schemaType.prototype[name] = method.

jupp.addMethod(jupp.date, 'format', function(formats, parseStrict) {
  return this.transform(function(value, originalValue) {
    if (this.isType(value)) return value;

    value = Moment(originalValue, formats, parseStrict);

    return date.isValid() ? date.toDate() : invalidDate;

jupp.ref(path: string, options: { contextPrefix: string }): Ref

Creates a reference to another sibling or sibling descendant field. Ref's are resolved at validation/cast time and supported where specified. Ref's are evaluated in in the proper order so that the ref value is resolved before the field using the ref (be careful of circular dependencies!).

var schema = object({
  baz: ref('foo.bar'),
  foo: object({
    bar: string()
  x: ref('$x')

inst.cast({ foo: { bar: 'boom' } }, { context: { x: 5 } })
// { baz: 'boom',  x: 5, { foo: { bar: 'boom' } }, }

jupp.lazy((value: any) => Schema): Lazy

creates a schema that is evaluated at validation/cast time. Useful for creating recursive schema like Trees, for polymophic fields and arrays.

CAUTION! When defining parent-child recursive object schema, you want to reset the default() to undefined on the child otherwise the object will infinitely nest itself when you cast it!.

var node = object({
  id: number(),
  child: jupp.lazy(() => node.default(undefined)),

let renderable = jupp.lazy(value => {
  switch (typeof value) {
    case 'number':
      return number();
    case 'string':
      return string();
      return mixed();

let renderables = array().of(renderable);

ValidationError(errors: string | Array<string>, value: any, path: string)

Thrown on failed validations, with the following properties

  • name: "ValidationError"
  • path: a string, indicating where there error was thrown. path is empty at the root level.
  • errors: array of error messages
  • inner: in the case of aggregate errors, inner is an array of ValidationErrors throw earlier in the validation chain. When the abortEarly option is false this is where you can inspect each error thrown, alternatively errors will have all the of the messages from each inner error.


Creates a schema that matches all types. All types inherit from this base type

var schema = jupp.mixed();
schema.isValid(undefined, function(valid) {
  valid; //=> true

mixed.clone(): Schema

Creates a deep copy of the schema. Clone is used internally to return a new schema with every schema state change.

mixed.label(label: string): Schema

Overrides the key name which is used in error messages.

mixed.meta(metadata: object): Schema

Adds to a metadata object, useful for storing data with a schema, that doesn't belong the cast object itself.

mixed.describe(): SchemaDescription

Collects schema details (like meta, labels, and active tests) into a serializable description object.

SchemaDescription {
  type: string,
  label: string,
  meta: object,
  tests: Array<string>

mixed.concat(schema: Schema)

Creates a new instance of the schema by combining two schemas. Only schemas of the same type can be concatenated.

mixed.validate(value: any, options: ?object): Promise<any, ValidationError>

Returns the value (a cast value if isStrict is false) if the value is valid, and returns the errors otherwise. This method is asynchronous and returns a Promise object, that is fulfilled with the value, or rejected with a ValidationError.

The options argument is an object hash containing any schema options you may want to override (or specify for the first time).

Options = {
  strict: boolean = false;
  abortEarly: boolean = true;
  stripUnknown: boolean = false;
  recursive: boolean = true;
  sync: boolean = false;
  context: ?object;
  • strict: only validate the input, and skip and coercion or transformation
  • abortEarly: return from validation methods on the first error rather than after all validations run.
  • stripUnknown: remove unspecified keys from objects.
  • recursive: when false validations will not descend into nested schema (relevant for objects or arrays).
  • sync: perform synchronous validation instead of asynchronous validation. You must take care on your own that all validation functions in the schema are in fact sync.
  • context: any context needed for validating schema conditions (see: when())
schema.validate({ name: 'jimmy', age: 24 }).then(function(value) {
  value; // => { name: 'jimmy',age: 24 }

schema.validate({ name: 'jimmy', age: 'hi' }).catch(function(err) {
  err.name; // 'ValidationError'
  err.errors; // => ['age must be a number']

mixed.validateSync(value: any, options: ?object): any, ValidationError

Perform a sync validation. Returns either the validated value or throws a ValidationError.

mixed.isValid(value: any, options: ?object): Promise<boolean>

Returns true when the passed in value matches the schema. isValid is asynchronous and returns a Promise object.

Takes the same options as validate().

mixed.isValidSync(value: any, options: ?object): boolean

The same as isValid but with synchronous validation.

mixed.cast(value: any): any

Attempts to coerce the passed in value to a value that matches the schema. For example: '5' will cast to 5 when using the number() type. Failed casts generally return null, but may also return results like NaN and unexpected strings.

mixed.isType(value: any): boolean

Runs a type check against the passed in value. It returns true if it matches, it does not cast the value. When nullable() is set null is considered a valid value of the type. You should use isType for all Schema type checks.

mixed.strict(isStrict: boolean = false): Schema

Sets the strict option to true. Strict schemas skip coercion and transformation attempts, validating the value "as is".

mixed.strip(stripField: boolean = true): Schema

Marks a schema to be removed from an output object. Only works as a nested schema.

let schema = object({
  useThis: number(),
  notThis: string().strip(),

schema.cast({ notThis: 'foo', useThis: 4 }); // { useThis: 4 }

mixed.withMutation(builder: (current: Schema) => void): void

First the legally required Rich Hickey quote:

If a tree falls in the woods, does it make a sound?

If a pure function mutates some local data in order to produce an immutable return value, is that ok?

withMutation allows you to mutate the schema in place, instead of the default behavior which clones before each change. Generally this isn't necessary since the vast majority of schema changes happen during the initial declaration, and only happen once over the lifetime of the schema, so performance isn't an issue. However certain mutations do occur at cast/validation time, (such as conditional schema using when()), or when instantiating a schema object.

  .shape({ key: string() })
  .withMutation(schema => {
    return arrayOfObjectTests.forEach(test => {

mixed.default(value: any): Schema

Sets a default value to use when the value is undefined. Defaults are created after transformations are executed, but before validations, to help ensure that safe defaults are specified. The default value will be cloned on each use, which can incur performance penalty for objects and arrays. To avoid this overhead you can also pass a function that returns an new default. Note that null is considered a separate non-empty value.


jupp.object.default({ number: 5 }); // object will be cloned every time a default is needed

jupp.object.default(() => ({ number: 5 })); // this is cheaper

jupp.date.default(() => new Date()); //also helpful for defaults that change over time

mixed.default(): Any

Calling default with no arguments will return the current default value

mixed.nullable(isNullable: boolean = false): Schema

Indicates that null is a valid value for the schema. Without nullable() null is treated as a different type and will fail isType() checks.

mixed.required(message: ?string): Schema

Mark the schema as required. All field values apart from undefined meet this requirement.

mixed.typeError(message: string): Schema

Define an error message for failed type checks. The ${value} and ${type} interpolation can be used in the message argument.

mixed.oneOf(arrayOfValues: Array<any>, string: ?message): Schema Alias: equals

Whitelist a set of values. Values added are automatically removed from any blacklist if they are in it. The ${values} interpolation can be used in the message argument.

var schema = jupp.mixed().oneOf(['jimmy', 42]);
schema.isValid(42); //=> true
schema.isValid('jimmy'); //=> true
schema.isValid(new Date()); //=> false

mixed.notOneOf(arrayOfValues: Array<any>, string: ?message)

Blacklist a set of values. Values added are automatically removed from any whitelist if they are in it. The ${values} interpolation can be used in the message argument.

var schema = jupp.mixed().notOneOf(['jimmy', 42]);
schema.isValid(42); //=> false
schema.isValid(new Date()); //=> true

mixed.when(keys: string | Array<string>, builder: object | (value, schema)=> Schema): Schema

Adjust the schema based on a sibling or sibling children fields. You can provide an object literal where the key is is value or a matcher function, then provides the true schema and/or otherwise for the failure condition.

is conditions are strictly compared (===) if you want to use a different form of equality you can provide a function like: is: (value) => value == true.

Like joi you can also prefix properties with $ to specify a property that is dependent on context passed in by validate() or isValid. when conditions are additive.

var inst = jupp.object({
  isBig: jupp.boolean(),
  count: jupp
    .when('isBig', {
      is: true, // alternatively: (val) => val == true
      then: jupp.number().min(5),
      otherwise: jupp.number().min(0),
    .when('$other', (other, schema) => (other === 4 ? schema.max(6) : schema)),

inst.validate(value, { context: { other: 4 } });

You can also specify more than one dependent key, in which case each value will be spread as an argument.

var inst = jupp.object({
      isSpecial: jupp.bool()
      isBig: jupp.bool(),
      count: jupp.number()
        .when(['isBig', 'isSpecial'], {
          is: true,  // alternatively: (isBig, isSpecial) => isBig && isSpecial
          then:      jupp.number().min(5),
          otherwise: jupp.number().min(0)

  isBig: true,
  isSpecial: true,
  count: 10

Alternatively you can provide a function the returns a schema (called with the value of the key and the current schema).

var inst = jupp.object({
  isBig: jupp.boolean(),
  count: jupp.number().when('isBig', (isBig, schema) => {
    return isBig ? schema.min(5) : schema.min(0);

inst.validate({ isBig: false, count: 4 });

mixed.test(name: string, message: string, test: function): Schema

Adds a test function to the validation chain. Tests are run after any object is cast. Many types have some tests built in, but you can create custom ones easily. In order to allow asynchronous custom validations all tests are run asynchronously. A consequence of this is that test execution order cannot be guaranteed.

All tests must provide a name, an error message and a validation function that must return true or false or a ValidationError. To make a test async return a promise that resolves true or false or a ValidationError.

for the message argument you can provide a string which is will interpolate certain values if specified using the ${param} syntax. By default all test messages are passed a path value which is valuable in nested schemas.

the test function is called with the current value. For more advanced validations you can use the alternate signature to provide more options (see below):

var jimmySchema = jupp.string()
  .test('is-jimmy', '${path} is not Jimmy', value => value === 'jimmy');

// or make it async by returning a promise
var asyncJimmySchema = jupp.string()
  .test('is-jimmy', '${path} is not Jimmy', function (value){
    return fetch('/is-jimmy/' + value)
      .then(response => response.responseText === 'true')

schema.isValid('jimmy').then(...) //=> true

schema.isValid('john').then(...) //=> false
schema.errors // => [ 'this is not Jimmy!']

test functions are called with a special context, or this value, that exposes some useful metadata and functions.

  • this.path: the string path of the current validation
  • this.schema: the resolved schema object that the test is running against.
  • this.options: the options object that validate() or isValid() was called with
  • this.parent: in the case of nested schema, this is the value of the parent object
  • this.createError(Object: { path: String, message: String }): create and return a validation error. Useful for dynamically setting the path, or more likely, the error message. If either option is omitted it will use the current path, or default message.

mixed.test(options: object): Schema

Alternative test(..) signature. options is an object containing some of the following options:

Options = {
  // Unique name identifying the test
  name: string;
  // test function, determines schema validity
  test: (value: any) => boolean;
  // The validation error message
  message: string;
  // values passed to message for interpolation
  params: ?object;
  // mark the test as exclusive, meaning only one of the same can be active at once
  exclusive: boolean = false;

In the case of mixing exclusive and non-exclusive tests the following logic is used. If a non-exclusive test is added to a schema with an exclusive test of the same name the exclusive test is removed and further tests of the same name will be stacked.

If an exclusive test is added to a schema with non-exclusive tests of the same name the previous tests are removed and further tests of the same name will replace each other.

var schema = jupp.mixed().test({
  name: 'max',
  exclusive: true,
  params: { max },
  message: '${path} must be less than ${max} characters',
  test: value => value == null || value.length <= max,

mixed.transform((currentValue: any, originalValue: any) => any): Schema

Adds a transformation to the transform chain. Transformations are central to the casting process, default transforms for each type coerce values to the specific type (as verified by isType()). transforms are run before validations and only applied when strict is true. Some types have built in transformations.

Transformations are useful for arbitrarily altering how the object is cast, however, you should take care not to mutate the passed in value. Transforms are run sequentially so each value represents the current state of the cast, you can use the originalValue param if you need to work on the raw initial value.

var schema = jupp.string().transform(function(currentValue, originalvalue) {
  return this.isType(value) && value !== null ? value.toUpperCase() : value;

schema.cast('jimmy'); //=> 'JIMMY'

Each types will handle basic coercion of values to the proper type for you, but occasionally you may want to adjust or refine the default behavior. For example, if you wanted to use a different date parsing strategy than the default one you could do that with a transform.

jupp.date().transform(function(formats = 'MMM dd, yyyy') {
  //check to see if the previous transform already parsed the date
  if (this.isType(value)) return value;

  //the default coercion failed so lets try it with Moment.js instead
  value = Moment(originalValue, formats);

  //if its valid return the date object, otherwise return an `InvalidDate`
  return date.isValid() ? date.toDate() : new Date('');


Define a string schema. Supports all the same methods as mixed.

var schema = jupp.string();
schema.isValid('hello'); //=> true

By default, the cast logic of string is to call toString on the value if it exists. empty values are not coerced (use ensure() to coerce empty values to empty strings).

Failed casts return the input value.

string.required(message: ?string): Schema

The same as the mixed() schema required, except that empty strings are also considered 'missing' values. To allow empty strings but fail on undefined values use: string().required().min(0)

string.min(limit: number | Ref, message: ?string): Schema

Set an minimum length limit for the string value. The ${min} interpolation can be used in the message argument

string.max(limit: number | Ref, message: ?string): Schema

Set an maximum length limit for the string value. The ${max} interpolation can be used in the message argument

string.matches(regex: Regex, message: ?string): Schema

Provide an arbitrary regex to match the value against.

var v = string().matches(/(hi|bye)/);

string.matches(regex: Regex, options: { message: string, excludeEmptyString: bool }): Schema

An alternate signature for string.matches with an options object. excludeEmptyString, when true, short circuits the regex test when the value is an empty string

var v = string().matches(/(hi|bye)/, { excludeEmptyString: true });

string.email(message: ?string): Schema

Validates the value as an email address via a regex.

string.url(message: ?string): Schema

Validates the value as a valid URL via a regex.

string.ensure(): Schema

Transforms undefined and null values to an empty string along with setting the default to an empty string.

string.trim(message: ?string): Schema

Transforms string values by removing leading and trailing whitespace. If strict() is set it will only validate that the value is trimmed.

string.lowercase(message: ?string): Schema

Transforms the string value to lowercase. If strict() is set it will only validate that the value is lowercase.

string.uppercase(message: ?string): Schema

Transforms the string value to uppercase. If strict() is set it will only validate that the value is uppercase.


Define a number schema. Supports all the same methods as mixed.

var schema = jupp.number();
schema.isValid(10); //=> true

The default cast logic of number is: parseFloat.

Failed casts return NaN.

number.min(limit: number | Ref, message: ?string): Schema

Set the minimum value allowed. The ${min} interpolation can be used in the message argument.

number.max(limit: number | Ref, message: ?string): Schema

Set the maximum value allowed. The ${max} interpolation can be used in the message argument.

number.positive(message: ?string): Schema

Value must be a positive number.

number.negative(message: ?string): Schema

Value must be a negative number.

number.integer(message: ?string): Schema

Validates that a number is an integer.

number.truncate(): Schema

Transformation that coerces the value to an integer by stripping off the digits to the right of the decimal point.

number.round(type: 'floor' | 'ceil' | 'trunc' | 'round' = 'round'): Schema

Adjusts the value via the specified method of Math (defaults to 'round').


Define a boolean schema. Supports all the same methods as mixed.

var schema = jupp.boolean();
schema.isValid(true); //=> true


Define a Date schema. By default ISO date strings will parse correctly, for more robust parsing options see the extending schema types at the end of the readme. Supports all the same methods as mixed.

var schema = jupp.date();
schema.isValid(new Date()); //=> true

The default cast logic of date is pass the value to the Date constructor, failing that, it will attempt to parse the date as an ISO date string.

Failed casts return an invalid Date.

date.min(limit: Date | string | Ref, message: ?string): Schema

Set the minimum date allowed. When a string is provided it will attempt to cast to a date first and use the result as the limit.

date.max(limit: Date | string | Ref, message: ?string): Schema

Set the maximum date allowed, When a string is provided it will attempt to cast to a date first and use the result as the limit.


Define an array schema. Arrays can be typed or not, When specifying the element type, cast and isValid will apply to the elements as well. Options passed into isValid are passed also passed to child schemas. Supports all the same methods as mixed.

var schema = jupp.array().of(number().min(2));
schema.isValid([2, 3]); //=> true
schema.isValid([1, -24]); //=> false

schema.cast(['2', '3']); //=> [2, 3]

You can also pass a subtype schema to the array constructor as a convenience.


The default cast behavior for array is: JSON.parse

Failed casts return: null;

array.of(type: Schema): Schema

Specify the schema of array elements. of() is optional and when omitted the array schema will not validate its contents.

array.required(message: ?string): Schema

The same as the mixed() schema required, except that empty arrays are also considered 'missing' values. To allow empty arrays but fail on undefined values use: array().required().min(0)

array.min(limit: number | Ref, message: ?string): Schema

Set an minimum length limit for the array. The ${min} interpolation can be used in the message argument.

array.max(limit: number | Ref, message: ?string): Schema

Set an maximum length limit for the array. The ${max} interpolation can be used in the message argument.

array.ensure(): Schema

Ensures that the value is an array, by setting the default to [] and transforming null and undefined values to an empty array as well. Any non-empty, non-array value will be wrapped in an array.

  .cast(null); // -> []
  .cast(1); // -> [1]
  .cast([1]); // -> [1]

array.compact(rejector: (value) => boolean): Schema

Removes falsey values from the array. Providing a rejecter function lets you specify the rejection criteria yourself.

  .cast(['', 1, 0, 4, false, null]); // => [1,4]

  .compact(function(v) {
    return v == null;
  .cast(['', 1, 0, 4, false, null]); // => ['',1, 0, 4, false]


Define an object schema. Options passed into isValid are also passed to child schemas. Supports all the same methods as mixed.

  name:      string().required(),
  age:       number().required().positive().integer(),
  email:     string().email(),
  website    string().url(),

You can also pass a shape to the object constructor as a convenience.

  num: number(),
  num: number(),

The default cast behavior for object is: JSON.parse

Failed casts return: null;

object.shape(fields: object, noSortEdges: ?Array<[string, string]>): Schema

Define the keys of the object and the schemas for said keys.

object.from(fromKey: string, toKey: string, alias: boolean = false): Schema

Transforms the specified key to a new key. If alias is true then the old key will be left.

var schema = object({
  myProp: mixed(),
  Other: mixed(),
  .from('prop', 'myProp')
  .from('other', 'Other', true);

inst.cast({ prop: 5, other: 6 }); // => { myProp: 5, other: 6, Other: 6 }

object.noUnknown(onlyKnownKeys: boolean = true, message: ?string): Schema

Validate that the object value only contains keys specified in shape, pass false as the first argument to disable the check. Restricting keys to known, also enables stripUnknown option, when not in strict mode.

object.camelCase(): Schema

Transforms all object keys to camelCase

object.constantCase(): Schema

Transforms all object keys to CONSTANT_CASE.

Extending Schema Types

The simplest way to extend an existing type is just to cache a configured schema and use that through your application.

var jupp = require('jupp');
var parseFormats = ['MMM dd, yyy'];
var invalidDate = new Date('');

module.exports = jupp.date().transform(function(value, originalValue) {
  if (this.isType(value)) return value;
  //the default coercion transform failed so lets try it with Moment instead
  value = Moment(originalValue, parseFormats);
  return date.isValid() ? date.toDate() : invalidDate;

Alternatively, each schema is a normal JavaScript constructor function that you can mutate or delegate to using the normal patterns. Generally you should not inherit from mixed unless you know what you are doing, better to think of it as an abstract class. The other types are fair game though.

You should keep in mind some basic guidelines when extending schemas

  • never mutate an existing schema, always clone() and then mutate the new one before returning it. Built-in methods like test and transform take care of this for you, so you can safely use them (see below) without worrying
  • transforms should never mutate the value passed in, and should return an invalid object when one exists (NaN, InvalidDate, etc) instead of null for bad values.
  • by the time validations run the value is guaranteed to be the correct type, however if nullable is set then null is a valid value for that type, so don't assume that a property or method exists on the value.

Adjust core Types

var invalidDate = new Date('');

function parseDateFromFormats(formats, parseStrict) {
  return this.transform(function(value, originalValue) {
    if (this.isType(value)) return value;

    value = Moment(originalValue, formats, parseStrict);

    return date.isValid() ? date.toDate() : invalidDate;

// `addMethod` doesn't do anything special it's
// equivalent to: jupp.date.protoype.format = parseDateFromFormats
jupp.addMethod(jupp.date, 'format', parseDateFromFormats);

Creating new Types

Jupp schema use the common constructor pattern for modeling inheritance. You can use any utility or pattern that works with that pattern. The below demonstrates using the es6 class syntax since its less verbose, but you absolutely aren't required to use it.

var DateSchema = jupp.date;
var invalidDate = new Date(''); // our failed to coerce value

class MomentDateSchemaType extends DateSchema {
  constructor() {
    this._validFormats = [];

    this.withMutation(() => {
      this.transform(function(value, originalvalue) {
        if (this.isType(value))
          // we have a valid value
          return value;
        return Moment(originalValue, this._validFormats, true);

  _typeCheck(value) {
    return (
      super._typeCheck(value) || (moment.isMoment(value) && value.isValid())

  format(formats) {
    if (!formats) throw new Error('must enter a valid format');
    let next = this.clone();
    next._validFormats = {}.concat(formats);

var schema = new MomentDateSchemaType();

schema.format('YYYY-MM-DD').cast('It is 2012-05-25'); // Fri May 25 2012 00:00:00 GMT-0400 (Eastern Daylight Time)