npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

n-dimensional-noise

v1.0.1

Published

n dimensional noise generator

Downloads

6

Readme

noise-js

n-dimensional perlin noise generator implementation with JavaScript

Install

npm i n-dimensional-noise

Usage

You can generate noise with any number of dimensions. Initialize Perlin object with the number of dimensions you want to sample and octave count. Octave count is one as default. Then call 'call' method of the object with the coordinates. Coordinates dimension number must be same with the one you gave to constructor.

var noise=require('n-dimensional-noise')
let p=new noise.Perlin(2,5)

console.log(p.call([0.5,0.5]))
console.log(p.call([0.5,0.81]))

let arr=Array(100).fill().map(() => Array(100).fill(0));
for(var i=0; i<100; i++){
	for(var j=0; j<100; j++){
		arr[i][j]=p.call([i/20,j/20])
	}
}
console.log(JSON.stringify(arr))

If you want to generate worley noise;

//dim is the number of dimensions numberOfSeedPoints is the number of sampled points in worley noise. Its default is 100.
let w=new noise.Worley({dim:3, numberOfSeedPoints:1000})


let arr=Array(100).fill().map(() => Array(100).fill().map(() => Array(100).fill(0)));
for(var i=0; i<100; i++){
	for(var j=0; j<100; j++){
		for(var k=0; k<100; k++){
			arr[i][j][k]=w.call(i/100,j/100,k/100)
		}
	}
}
console.log(JSON.stringify(arr))

Demo

A sampled noise of 500x500 with octave count 5.

img

A sampled 3d worley noise as gif. Third dimension is used as time.

gif

License

MIT © thetarby