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

@yaronkoresh/match

v4.0.0

Published

Algorithm measuring percentages of correspondence between texts.

Downloads

10

Readme

Package & version:

Match v4.0.0

Description:

Algorithm measuring percentages of correspondence between texts.

Example:

import { Match } from "@yaronkoresh/match";
// or: const { Match } = await import("@yaronkoresh/match");

// Step 1: Choose the first string!
const str1 = "meow";

// Step 2: Choose the second string!
const str2 = "lol";

// Step 3: Choose the weight for the "continuity" (exact match of characters, one after another) factor! [default is 50 out of 100]
const continuity = 33;

// Step 4: Choose the weight for the "unicode" (distance of characters inside one from the other, e.g. "b" is closer to "W" than any japanese characters) factor! [default is 50 out of 100]
const unicode = 67;

// Step 5: Now let's calculate!
const match = Match( str1, str2, continuity, unicode );

// The results: 70 (70% of correspondence between the inputs).
console.log(match);

// Unicode gave high score of 94% (67% of the 94%) because of the same english language of the inputs.
// Continuity found just a one exact match ("o" character) so it gave a low score of 25% (33% of the 25%).

License:

This project is licensed under MIT open-source license.