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Faker

Generate massive amounts of fake (but realistic) data for testing and development.

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πŸ“™ API Documentation

⚠️ You are reading the docs for the next branch ⚠️

Please proceed to the Getting Started Guide for the stable release of Faker.

For detailed API documentation, please select the version of the documentation you are looking for.

Version Website
v9 (next) https://next.fakerjs.dev/
v8 (stable) https://fakerjs.dev/
v7 (old) https://v7.fakerjs.dev/

πŸš€ Features

  • πŸ’Œ Locations - Generate valid looking Addresses, Zip Codes, Street Names, States, and Countries!
  • ⏰ Time-based Data - Past, present, future, recent, soon... whenever!
  • 🌏 Localization - Pick a locale to generate realistic looking Names, Addresses, and Phone Numbers.
  • πŸ’Έ Finance - Create stubbed out Account Details, Transactions, and Crypto Addresses.
  • πŸ‘  Products - Generate Prices, Product Names, Adjectives, and Descriptions.
  • πŸ‘Ύ Hacker Jargon - β€œTry to reboot the SQL bus, maybe it will bypass the virtual application!”
  • 🧍 Names - Generate virtual humans with a complete online and offline identity.
  • πŸ”’ Numbers - Of course, we can also generate random numbers and strings.

Note: Faker tries to generate realistic data and not obvious fake data. The generated names, addresses, emails, phone numbers, and/or other data might be coincidentally valid information. Please do not send any of your messages/calls to them from your test setup.

πŸ“¦ Install

npm install --save-dev @faker-js/faker

πŸͺ„ Usage

// ESM
import { faker } from '@faker-js/faker';

// CJS
const { faker } = require('@faker-js/faker');

export function createRandomUser(): User {
  return {
    userId: faker.string.uuid(),
    username: faker.internet.userName(),
    email: faker.internet.email(),
    avatar: faker.image.avatar(),
    password: faker.internet.password(),
    birthdate: faker.date.birthdate(),
    registeredAt: faker.date.past(),
  };
}

export const USERS: User[] = faker.helpers.multiple(createRandomUser, {
  count: 5,
});

πŸ’Ž Modules

An in-depth overview of the API methods is available in the documentation for v8 (stable) and v8.* (next).

Templates

Faker contains a generator method faker.helpers.fake for combining faker API methods using a mustache string format.

console.log(
  faker.helpers.fake(
    'Hello {{person.prefix}} {{person.lastName}}, how are you today?'
  )
);

🌏 Localization

Faker has support for multiple locales.

The main faker instance uses the English locale. But you can also import instances using other locales.

// ESM
import { fakerDE as faker } from '@faker-js/faker';

// CJS
const { fakerDE: faker } = require('@faker-js/faker');

See our documentation for a list of provided languages.

Please note: Not every locale provides data for every module. In our pre-made faker instances, we fall back to English in such a case as this is the most complete and most commonly used language. If you don't want that or prefer a different fallback, you can also build your own instances.

import { de, de_CH, Faker } from '@faker-js/faker';

export const faker = new Faker({
  locale: [de_CH, de],
});

βš™οΈ Setting a randomness seed

If you want consistent results, you can set your own seed:

faker.seed(123);

const firstRandom = faker.number.int();

// Setting the seed again resets the sequence.
faker.seed(123);

const secondRandom = faker.number.int();

console.log(firstRandom === secondRandom);

🀝 Sponsors

Faker is an MIT-licensed open source project with its ongoing development made possible entirely by the support of these awesome backers

Sponsors

Backers

✨ Contributing

Please make sure to read the Contributing Guide before making a pull request.

πŸ“˜ Credits

Thanks to all the people who already contributed to Faker!

The fakerjs.dev website is kindly hosted by the Netlify Team. Also the search functionality is powered by algolia.

πŸ“ Changelog

Detailed changes for each release are documented in the release notes.

πŸ“œ What happened to the original faker.js?

Read the team update (January 14th, 2022).

πŸ”‘ License

MIT