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

furlong

v0.3.0

Published

A zero-dependency Node and Javascript library for computing pairwise distances

Downloads

26

Readme

furlong

n. a unit of distance equal to 220 yards

furlong is a zero dependency Node and Javascript library for computing pairwise distance metrics writting in Typescript.

Build Status

Installation

npm install furlong --save

Usage

furlong can be used with Node or with plain Javascript; it has no external dependencies. To use with Node, simply require it:

const { furlong } = require('furlong')

To use in Javascript, just import it:

import { furlong } from 'furlong'

Pairwise distance functions are computed using a distance method. furlong provides several built-in distance functions and also supports user defined functions. The provided distance functions include:

  • Euclidean distance
  • Manhattan (Taxicab) distance
  • Chebyshev distance
  • Bray Curtis distance
  • Canberra distance
  • Hamming distance
>>> furlong('euclidean').distance([0,0,0],[0,0,100])
100

Accessor functions can also be used for more complex data structures:

>>> const distanceFunc = furlong('chebyshev')
                     .x(d => d.foo)
                     .y(d => d.bar)

>>> const vectorA = [{'foo': 12},{'foo': 7},{'foo': 0}]
>>> const vectorB = [{'bar': 6},{'bar': 32},{'bar': 27}]
>>> distanceFunc
      .distance(vectorA, vectorB)
      .toFixed(2)
27

Custom distance functions can be used with furlong's accessors as well:

>>> const customDistanceFunc = (v1, v2) => 0
>>> furlong('hamming')
    .func(customDistanceFunc)
    .distance([0,0],[1,1])
0

Testing

  • Using npm:
    npm test

Release History

  • 0.1.0 Initial release
  • 0.2.0 Ported library to Typescript