An efficient Javascript implementation of the Levenshtein algorithm with locale-specific collator support.
Install using npm:
$ npm install fast-levenshtein
Using bower:
$ bower install fast-levenshtein
If you are not using any module loader system then the API will then be accessible via the window.Levenshtein
object.
Default usage
var levenshtein = require('fast-levenshtein'); var distance = levenshtein.get('back', 'book'); // 2 var distance = levenshtein.get('我愛你', '我叫你'); // 1
Locale-sensitive string comparisons
It supports using Intl.Collator for locale-sensitive string comparisons:
var levenshtein = require('fast-levenshtein'); levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true}); // 1
To build the code and run the tests:
$ npm install -g grunt-cli $ npm install $ npm run build
Thanks to Titus Wormer for encouraging me to do this.
Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):
Running suite Implementation comparison [benchmark/speed.js]... >> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled) >> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled) >> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled) >> natural x 255 ops/sec ±0.76% (88 runs sampled) >> levenshtein x 180 ops/sec ±3.55% (86 runs sampled) >> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled) Benchmark done. Fastest test is fast-levenshtein at 4.2x faster than levenshtein-component
You can run this benchmark yourself by doing:
$ npm install
$ npm run build
$ npm run benchmark
If you wish to submit a pull request please update and/or create new tests for any changes you make and ensure the grunt build passes.
See CONTRIBUTING.md for details.
MIT - see LICENSE.md