noisejs

It's really interesting that they were able to use typed arrays to get better performance out of it. If anyone is looking for a more bare-bones approach to simplex or perlin noise, I've had good experiences with this library: https://github.com/josephg/noisejs (not affiliated)

A few years ago I ported some efficient perlin noise generation into javascript to play with it. Here's a really simple visualisation of what perlin noise actually looks like: http://josephg.github.io/noisejs/demo3d.html (This is actually a 3d simplex noise function, where the z axis is mapped to time. Simplex noise is a variant on perlin noise. Perlin noise is also in the repo but I don't have a demo of it online.) Repo: https://github.com/josephg/noisejs

That is my experience. Maths people are not renowned for their ability to write readable or maintainable code. I recently needed an implementation of the Simplex Noise algorithm (that I could port to Common Lisp). I ended up using this one, which works but the code certainly does nothing to help understanding: https://github.com/josephg/noisejs/blob/master/perlin.js Note that the Javscript implementation is also a port from another language (whose implementation I have failed to find).