What is fastest-levenshtein?
The fastest-levenshtein npm package is a JavaScript library that provides an efficient implementation of the Levenshtein distance algorithm, which is used to measure the difference between two sequences of characters. The package is optimized for performance and is useful for tasks such as fuzzy matching, spell checking, and similarity checking between strings.
What are fastest-levenshtein's main functionalities?
distance
Calculates the Levenshtein distance between two strings, which is the minimum number of single-character edits (insertions, deletions, or substitutions) required to change one word into the other.
const { distance } = require('fastest-levenshtein');
const dist = distance('kitten', 'sitting');
console.log(dist); // Output: 3
Other packages similar to fastest-levenshtein
levenshtein
This package provides a simple implementation of the Levenshtein distance algorithm. It is not as performance-optimized as fastest-levenshtein but is widely used for its simplicity and ease of understanding.
levenshtein-edit-distance
This is another package that calculates the Levenshtein distance between two strings. It focuses on accuracy and has a simple API, but it may not be as fast as fastest-levenshtein for large strings or a high number of calculations.
string-similarity
This package goes beyond just the Levenshtein distance and provides a way to find the degree of similarity between two strings. It also includes a method for finding the best match in an array of strings. While it offers more features, it might not be as fast as fastest-levenshtein when only the Levenshtein distance is needed.
natural
Natural is a general natural language facility for Node.js. It includes a Levenshtein distance implementation among many other features for processing human language. It's more comprehensive but also larger and potentially slower than fastest-levenshtein, which is specialized for Levenshtein distance calculations.
fastest-levenshtein :rocket:
Fastest JS/TS implemenation of Levenshtein distance.
Measure the difference between two strings.
$ npm i fastest-levenshtein
Usage
Node
const {distance, closest} = require('fastest-levenshtein')
console.log(distance('fast', 'faster'))
console.log(closest('fast', ['slow', 'faster', 'fastest']))
Deno
import {distance, closest} from 'https://deno.land/x/fastest_levenshtein/mod.ts'
console.log(distance('fast', 'faster'))
console.log(closest('fast', ['slow', 'faster', 'fastest']))
Benchmark
I generated 500 pairs of strings with length N. I measured the ops/sec each library achieves to process all the given pairs. Higher is better.
Test Target | N=4 | N=8 | N=16 | N=32 | N=64 | N=128 | N=256 | N=512 | N=1024 |
---|
fastest-levenshtein | 44423 | 23702 | 10764 | 4595 | 1049 | 291.5 | 86.64 | 22.24 | 5.473 |
js-levenshtein | 21261 | 10030 | 2939 | 824 | 223 | 57.62 | 14.77 | 3.717 | 0.934 |
leven | 19688 | 6884 | 1606 | 436 | 117 | 30.34 | 7.604 | 1.929 | 0.478 |
fast-levenshtein | 18577 | 6112 | 1265 | 345 | 89.41 | 22.70 | 5.676 | 1.428 | 0.348 |
levenshtein-edit-distance | 22968 | 7445 | 1493 | 409 | 109 | 28.07 | 7.095 | 1.789 | 0.445 |
Relative Performance
This image shows the relative performance between fastest-levenshtein
and js-levenshtein
(the 2nd fastest). fastest-levenshtein
is always a lot faster. y-axis shows "times faster".
License
This project is licensed under the MIT License - see the LICENSE.md file for details