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GitHub - chancejs/chancejs: Chance - Random generator helper for JavaScript
Chance - Random generator helper for JavaScript. Contribute to chancejs/chancejs development by creating an account on GitHub.
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GitHub - chancejs/chancejs: Chance - Random generator helper for JavaScript

GitHub - chancejs/chancejs: Chance - Random generator helper for JavaScript

Chance

Chance Logo

Build Status GitHub license GitHub stars npm jsDelivr Hits npm Coverage Status awesomeness

Chance - Random generator helper for JavaScript

Homepage: http://chancejs.com

Many more details on http://chancejs.com but this single library can generate random numbers, characters, strings, names, addresses, dice, and pretty much anything else.

It includes the basic building blocks for all these items and is built on top of a Mersenne Twister so it can generate these things with repeatability, if desired.

Usage

See the full docs for details on installation and usage.

Dependent tools

  • Chance CLI - Use Chance on the command line.
  • Chance Token Replacer - Replace tokens in a string with Chance generated items.
  • Dream.js - Lightweight json data generator
  • Fake JSON Schema - Use chance generators to populate JSON Schema samples.
  • Mocker Data Generator - Minimal JSON data generator.
  • swagger-mock-api - Generate API mocks from a Swagger spec file enriched with Chance types and constraints
  • fony - A simple command line tool for generating fake data from a template string

Or view all of the dependents on npm

Know a library that uses Chance that isn't here? Update the README and submit a PR!

Author

Victor Quinn

https://www.victorquinn.com @victorquinn

Please feel free to reach out to me if you have any questions or suggestions.

Contributors

THANK YOU!

Contribute!

Be a part of this project! You can run the test using the following.

Note: Make sure you have Yarn installed globally

  1. Install dependencies from package.json by running yarn
  2. Run the test suite via yarn test
  3. Make some fun new modules!

This project is licensed under the MIT License so feel free to hack away :)

Proudly written in Washington, D.C.

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