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# fast-levenshtein - Levenshtein algorithm in Javascript [](http://travis-ci.org/hiddentao/fast-levenshtein) [](https://badge.fury.io/js/fast-levenshtein) [](https://www.npmjs.com/package/fast-levenshtein) [](https://twitter.com/hiddentao) An efficient Javascript implementation of the [Levenshtein algorithm](http://en.wikipedia.org/wiki/Levenshtein_distance) with locale-specific collator support. ## Features * Works in node.js and in the browser. * Better performance than other implementations by not needing to store the whole matrix ([more info](http://www.codeproject.com/Articles/13525/Fast-memory-efficient-Levenshtein-algorithm)). * Locale-sensitive string comparisions if needed. * Comprehensive test suite and performance benchmark. * Small: <1 KB minified and gzipped ## Installation ### node.js Install using [npm](http://npmjs.org/): ```bash $ npm install fast-levenshtein ``` ### Browser Using bower: ```bash $ 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. ## Examples **Default usage** ```javascript 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](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Collator) for locale-sensitive string comparisons: ```javascript var levenshtein = require('fast-levenshtein'); levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true}); // 1 ``` ## Building and Testing To build the code and run the tests: ```bash $ npm install -g grunt-cli $ npm install $ npm run build ``` ## Performance _Thanks to [Titus Wormer](https://github.com/wooorm) for [encouraging me](https://github.com/hiddentao/fast-levenshtein/issues/1) to do this._ Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM): ```bash 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: ```bash $ npm install $ npm run build $ npm run benchmark ``` ## Contributing 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](https://github.com/hiddentao/fast-levenshtein/blob/master/CONTRIBUTING.md) for details. ## License MIT - see [LICENSE.md](https://github.com/hiddentao/fast-levenshtein/blob/master/LICENSE.md) |