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

similarity

v1.2.1

Published

How similar are these two strings?

Downloads

387,618

Readme

similarity

Build Coverage Downloads Size

How similar are these two strings?

Install

npm:

npm install similarity

Use

var similarity = require('similarity')

similarity('food', 'food') // 1
similarity('food', 'fool') // 0.75
similarity('ding', 'plow') // 0
similarity('chicken', 'chick') // 0.714285714
similarity('ES6-Shim', 'es6 shim') // 0.875 (case insensitive)
similarity('ES6-Shim', 'es6 shim', {sensitive: true}) // 0.5 (case sensitive)

API

similarity(left, right[, options])

Get the similarity (number) between two values (strings), where 0 is dissimilar, and 1 is equal.

  • options.sensitive (boolean, default: false) — Turn on (true) to treat casing differences as differences

CLI

Usage: similarity [options] <word> <word>

How similar are these two strings?

Options:

  -h, --help           output usage information
  -v, --version        output version number
  -s, --sensitive      be sensitive to casing differences

Usage:

# output similarity
$ similarity sitting kitten
0.5714285714285714
$ similarity saturday sunday
0.625

See also

Note: This module uses Levenshtein distance to measure similarity, but there are many other algorithms for string comparison. Here are a few:

  • clj-fuzzy — Handy collection of algorithms dealing with fuzzy strings and phonetics
  • natural — General natural language facilities for node
  • string-similarity — Finds degree of similarity between two strings, based on Dice’s coefficient
  • dice-coefficient — Sørensen–Dice coefficient
  • jaro-winkler — The Jaro-Winkler distance metric

License

ISC © Zeke Sikelianos