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The Chance npm package is a minimalist generator of random strings, numbers, and other utilities. It is designed to help developers create random data for testing, simulations, and more. The package offers a wide range of functionalities, from generating random names, addresses, and phone numbers to creating random numbers, characters, and even custom random generators.
Basic Random Data Generation
This feature demonstrates how to generate basic random data such as names and integers. The 'name' method generates a random full name, while the 'integer' method generates a random integer within a specified range.
const Chance = require('chance');
const chance = new Chance();
// Generate a random name
console.log(chance.name());
// Generate a random integer
console.log(chance.integer({min: 0, max: 100}));
Advanced Random Data Generation
This feature showcases the generation of more complex data types like addresses and geo-coordinates. The 'address' method returns a random address, and the 'coordinates' method returns a random latitude and longitude pair.
const Chance = require('chance');
const chance = new Chance();
// Generate a random address
console.log(chance.address());
// Generate a random geo-coordinate
console.log(chance.coordinates());
Custom Random Data Generation
This feature illustrates how to create custom random data generators using Chance. In this example, a simple dice roll function is created that returns a random integer between 1 and 6.
const Chance = require('chance');
const chance = new Chance();
// Custom random generator for a dice roll
function diceRoll() {
return chance.integer({min: 1, max: 6});
}
console.log(diceRoll());
Faker is a popular alternative to Chance that focuses on generating massive amounts of fake data, especially for testing purposes. It supports a wide range of data types similar to Chance but also includes locales for generating data in specific languages and formats.
Random-js is a mathematically correct random number generator library for JavaScript. It offers a lower-level approach compared to Chance, providing tools to generate random values using various distributions. It's more suited for simulations and games that require specific random behavior.
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.
Chance instantiates itself onto the window. This means that in the simplest case you can just include the script tag then use an instance of Chance immediately.
<script src="chance.js"></script>
<script>
console.log(chance.string());
</script>
It can also be used with Bower
bower install chance
then in the HTML of your app:
<!-- Load Chance -->
<script type="text/javascript" src="app/bower_components/chance/chance.min.js"></script>
<script>
// Use Chance immediately!
alert(chance.string());
</script>
It can also be used with spm.
spm install chance
It can also be used with Component
component install victorquinn/chancejs
then in the HTML of your app:
<!-- Load Chance -->
<script type="text/javascript" src="components/victorquinn-chancejs/chance.js"></script>
<script>
// Use Chance immediately!
alert(chance.string());
</script>
And it can be used in Node.js.
var Chance = require('chance'),
chance = new Chance();
// Get a random zip code
chance.zip();
Chance also includes an AMD define so it can be used with RequireJS.
require(['Chance'], function(Chance) {
// Instantiate
var chance = new Chance();
// Then just use it:
var my_random_integer = chance.integer();
});
## Author
### Victor Quinn
[http://victorquinn.com](http://victorquinn.com)
Please feel free to reach out to me if you have any questions or suggestions.
### Contributors
THANK YOU!
project : chancejs repo age : 1 year, 5 months active : 103 days commits : 387 files : 22 authors : 274 Victor Quinn 70.8% 13 Oliver Salzburg 3.4% 13 Tim Petricola 3.4% 11 davmillar 2.8% 5 Michael Cordingley 1.3% 5 Alex DiLiberto 1.3% 5 Matt Klaber 1.3% 4 Avishaan 1.0% 4 Kevin Garnett 1.0% 4 Abhijeet Pawar 1.0% 4 Chris Villarreal 1.0% 3 Alexandr Lozovyuk 0.8% 3 qjcg 0.8% 3 Nicholas Johnson 0.8% 2 xshyamx 0.5% 2 Adam Krebs 0.5% 2 Andreas Koeberle 0.5% 2 Iskren Chernev 0.5% 2 Nathan MacInnes 0.5% 2 Pascal Borreli 0.5% 2 SeeSchloss 0.5% 2 Stefan Penner 0.5% 2 dhilipsiva 0.5% 2 path411 0.5% 2 shyam 0.5% 1 Brian.Barnett 0.3% 1 Johannes Stein 0.3% 1 afc163 0.3% 1 Doug Lawrence 0.3% 1 ddunning 0.3% 1 Dominic Barnes 0.3% 1 flrent 0.3% 1 kkroner 0.3% 1 leesei 0.3% 1 Richard Anaya 0.3% 1 Ryan Tenney 0.3% 1 Samuel Greene 0.3% 1 lkptrzk 0.3% 1 Ng Patrick 0.3%
### Contribute!
Be a part of this project! You can run the test using the following.
1. Install dependencies from package.json by running `npm install`
2. Install dependencies for testing by running `bower install`
3. Run the test via `npm test`
4. Make some fun new modules!
This project is licensed under the [MIT License](http://en.wikipedia.org/wiki/MIT_License) so feel free to hack away :)
[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/victorquinn/chancejs/trend.png)](https://bitdeli.com/free "Bitdeli Badge")
Proudly written in Washington, D.C.
FAQs
Chance - Utility library to generate anything random
The npm package chance receives a total of 623,787 weekly downloads. As such, chance popularity was classified as popular.
We found that chance demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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