59 lines
1.6 KiB
Markdown
59 lines
1.6 KiB
Markdown
# js-levenshtein [](https://travis-ci.org/gustf/js-levenshtein)
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A very efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
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Based on Wagner-Fischer dynamic programming algorithm, optimized for speed and memory
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- use a single distance vector instead of a matrix
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- loop unrolling on the outer loop
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- remove common prefixes/postfixes from the calculation
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- minimize the number of comparisons
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## Install
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```
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$ npm install --save js-levenshtein
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```
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## Usage
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```js
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const levenshtein = require('js-levenshtein');
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levenshtein('kitten', 'sitting');
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//=> 3
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```
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## Benchmark
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```
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$ npm run bench
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50 paragraphs, length max=500 min=240 avr=372.5
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152 op/s » js-levenshtein
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97 op/s » talisman
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93 op/s » levenshtein-edit-distance
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83 op/s » leven
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38 op/s » fast-levenshtein
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100 sentences, length max=170 min=6 avr=57.5
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2,858 op/s » js-levenshtein
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1,916 op/s » talisman
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1,759 op/s » levenshtein-edit-distance
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1,578 op/s » leven
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784 op/s » fast-levenshtein
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2000 words, length max=20 min=3 avr=9.5
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2,776 op/s » js-levenshtein
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2,359 op/s » talisman
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2,184 op/s » levenshtein-edit-distance
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1,878 op/s » leven
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1,268 op/s » fast-levenshtein
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```
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Benchmarks was performed with node v8.12.0 on a MacBook Pro 15", 2.9 GHz Intel Core i9
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## License
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MIT © Gustaf Andersson |