# wink-jaro-distance

> An Implementation of Jaro Distance Algorithm by Matthew A. Jaro

Latest version **2.0.0** (published 2018-11-03) · MIT license · 0 weekly downloads

## Install

```sh
npm install wink-jaro-distance
pnpm add wink-jaro-distance
yarn add wink-jaro-distance
bun add wink-jaro-distance
```

## Health

**Score 23/100 (F)** — status: abandoned.

Positive: has types package; no vulnerabilities; high quality score.

Warnings: low downloads; no esm support.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 2.0.0 |
| Published | 2018-11-03 |
| First published | 2017-05-30 |
| Weekly downloads | 0 |
| License | MIT |
| TypeScript types | separate (@types/wink-jaro-distance) |
| Module format | CommonJS |
| Dependencies | 0 |
| Unpacked size | 20.7 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 13 |
| Author | Sanjaya Kumar Saxena |
| Maintainers | prtksxna, r4chn4, sanjaya |
| Keywords | Jaro, Jaro Distance, Jaro Similarity, String Matching, String Similarity, NLP, Natural Language Processing, Similarity, wink |

## Links

- npm: https://www.npmjs.com/package/wink-jaro-distance
- Repository: https://github.com/winkjs/wink-jaro-distance
- Homepage: http://winkjs.org/
- Issues: https://github.com/winkjs/wink-jaro-distance/issues
- npm.io page: https://npm.io/package/wink-jaro-distance

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## Recent versions

- 2.0.0 (latest) — 2018-11-03
- 1.0.4 — 2017-12-28
- 1.0.3 — 2017-09-27
- 1.0.2 — 2017-09-15
- 1.0.1 — 2017-06-06
- 1.0.0 — 2017-05-30

## README

# wink-jaro-distance

An Implementation of [Jaro Distance](https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance#Jaro_distance) Algorithm by Matthew A. Jaro

### [![Build Status](https://api.travis-ci.org/winkjs/wink-jaro-distance.svg?branch=master)](https://travis-ci.org/winkjs/wink-jaro-distance) [![Coverage Status](https://coveralls.io/repos/github/winkjs/wink-jaro-distance/badge.svg?branch=master)](https://coveralls.io/github/winkjs/wink-jaro-distance?branch=master) [![Inline docs](http://inch-ci.org/github/winkjs/wink-jaro-distance.svg?branch=master)](http://inch-ci.org/github/winkjs/wink-jaro-distance) [![devDependencies Status](https://david-dm.org/winkjs/wink-jaro-distance/dev-status.svg)](https://david-dm.org/winkjs/wink-jaro-distance?type=dev) [![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/winkjs/Lobby)

<img align="right" src="https://decisively.github.io/wink-logos/logo-title.png" width="100px" >

De-duplicate short strings such as names by computing similarity and distance between a pair of strings using **`wink-jaro-distance`**.  It is an implementation of Jaro Distance Algorithm that determines the similarity/distance by taking into account the insertions, deletions and transpositions.

### Installation

Use [npm](https://www.npmjs.com/package/wink-jaro-distance) to install:

    npm install wink-jaro-distance --save

### Getting Started

```javascript
// Load Jaro Distance Function
var jaro = require( 'wink-jaro-distance' );

console.log( jaro( 'father', 'farther') );
// -> { distance: 0.04761904761904756, similarity: 0.9523809523809524 }

console.log( jaro( 'Angelina', 'Angelica') );
// -> { distance: 0.08333333333333337,  similarity: 0.9166666666666666 }

console.log( jaro( 'Flikr', 'Flicker' ) );
// -> { distance: 0.09523809523809523, similarity: 0.9047619047619048 }

console.log( jaro( 'abcdef', 'fedcba'  ) );
// -> { distance: 0.6111111111111112, similarity: 0.38888888888888884 }
```

Try [experimenting with this example on Runkit](https://npm.runkit.com/wink-jaro-distance) in the browser.

### API

<!-- Generated by documentation.js. Update this documentation by updating the source code. -->

##### Table of Contents

-   [jaro](#jaro)
    -   [Parameters](#parameters)
    -   [Examples](#examples)

#### jaro

Computes Jaro distance and similarity between strings `s1` and `s2`.

Original Reference: UNIMATCH:
[A Record Linkage System: Users Manual pp 104.](https://books.google.co.in/books?id=Ahs9TABe61oC)

##### Parameters

-   `s1` **[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)** — the first string.
-   `s2` **[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)** — the second string.

##### Examples

```javascript
jaro( 'daniel', 'danielle' );
// -> { distance: 0.08333333333333337, similarity: 0.9166666666666666 }
jaro( 'god', 'father' );
// -> { distance: 1, similarity: 0 }
```

Returns **[object](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)** containing `distance` and `similarity` values between 0 and 1.

### jaro

Computes Jaro distance and similarity between strings `s1` and `s2`.

Original Reference: UNIMATCH:
[A Record Linkage System: Users Manual pp 104.](https://books.google.co.in/books?id=Ahs9TABe61oC)

**Parameters**

-   `s1` **[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)** — the first string.
-   `s2` **[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)** — the second string.

**Examples**

```javascript
jaro( 'daniel', 'danielle' );
// -> { distance: 0.08333333333333337, similarity: 0.9166666666666666 }
jaro( 'god', 'father' );
// -> { distance: 1, similarity: 0 }
```

Returns **[object](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)** containing `distance` and `similarity` values between 0 and 1.

### Need Help?

If you spot a bug and the same has not yet been reported, raise a new [issue](https://github.com/winkjs/wink-jaro-distance/issues) or consider fixing it and sending a pull request.

### About wink

[Wink](http://winkjs.org/) is a family of open source packages for **Statistical Analysis**, **Natural Language Processing** and **Machine Learning** in NodeJS. The code is **thoroughly documented** for easy human comprehension and has a **test coverage of ~100%** for reliability to build production grade solutions.

### Copyright & License

**wink-jaro-distance** is copyright 2017-18 [GRAYPE Systems Private Limited](http://graype.in/).

It is licensed under the terms of the MIT License.

---
_Source: https://npm.io/package/wink-jaro-distance · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._
