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

distance-calc

v0.2.0

Published

A JS module for calculating several distances between two (n-dimensional) points

Downloads

6

Readme

distance-calc

A JS module for calculating several distances between two (n-dimensional) points

NPM

Installation

  npm install distance-calc --save

Usage

  var d = require('distance-calc');

p-norm

d.norm(vector1 [ [, vector2] || [, p=2] ])

Arguments

  1. required vector1 (Array)
  2. vector2 (Array): default is the null vector ( [0, 0, 0, ...] )
  3. p (number): the number of norm (p >= 1) (default 2)

Examples

  var vector1 = [2, 2, 2, 2];
  var vector2 = [3, 3, 3, 3];
  var point2D = [5, 5];

  d.norm(vector1); // 4 - Euclidean distance/length
  d.norm(vector1, 2); // 4 - Euclidean distance/length

  d.norm(vector1, 1); // 8 - Manhattan, Taxicab distance/length
  d.norm(vector1, Number.POSITIVE_INFINITY); // 2 -  Maximum, Uniform norm
  d.norm(vector1, 'inf'); // 2 -  Maximum, Uniform norm

  d.norm(vector1, vector2); // 4 - Euclidean distance
  d.norm(vector1, vector2, 2); // 4 - Euclidean distance
  d.norm(vector1, vector2, 'inf'); // 2 - Maximum, Uniform norm

  d.norm(point2D, vector1); // returns NaN if dimensions are different
  d.norm(vector1, 1/2); // returns NaN if p<1

hamming

d.hamming(param1, param2)

Arguments

  1. required param1 (Array | String)
  2. required param2 (Array | String)

Examples

  var array1 = [1, 2, 3, 4];
  var array2 = [1, 1, 1, 1];
  var string1 = 'abcd';
  var string2 = 'aaaa';

  d.hamming(array1, array1); // 0
  d.hamming(array1, array2); // 3

  d.hamming(string1, string1); // 0
  d.hamming(string1, string2); // 3

  d.hamming(array1, string1); // NaN - different types
  d.hamming(array1, [1,2]); // NaN - different size
  d.hamming(string1, 'ab'); // NaN - different size
  d.hamming(123, 123); // NaN - invalid type

Tests

  npm test