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

radixsort

v1.0.1

Published

Blazingly fast radix sort in JavaScript for typed arrays.

Downloads

102

Readme

radixsort.js

Radix sort has linear time complexity, O(kN), where k is the number of radices per value, and N is the number of values.

How is this possible? The theoretical lower bound of O(N log N) only applies to comparison-based sorting algorithms, whereas radix sort doesn't actually perform any comparisons on the input data.

Usage

var sort = radixsort(),
    data = new Float32Array([…]);

var sorted = new Float32Array(sort(data));

// You can also preallocate the output array…
var output = new Float32Array(data.length);
sort(data, output);

Informal Benchmark

The most common usage scenario for this will probably be sorting 32-bit floats e.g. for geometry algorithms. My informal benchmark repeatedly sorts an array of 65,536 random 32-bit floats.

Of course, the comparison is not entirely fair as JavaScript's native sort will be sorting double-precision (64-bit) numbers, as this is all JavaScript supports. But 32 bits is sufficient for most geometry algorithms, so the comparison is reasonable.

  • Radixsort.js: ~67 sorts per second.
  • JavaScript native sort: ~26 sorts per second.

Radixsort.js is roughly 2.5x faster! The speed difference gets even larger as you increase the input size.

To Do

  • Support Float64Array.