The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
Based on Wagner-Fischer dynamic programming algorithm, optimized for speed and memory
- use a single distance vector instead of a matrix
- loop unrolling on the outer loop
- remove common prefixes/postfixes from the calculation
- minimize the number of comparisons
$ npm install --save js-levenshtein
const levenshtein = require('js-levenshtein');
levenshtein('kitten', 'sitting');
//=> 3$ npm run bench
50 paragraphs, length max=500 min=240 avr=372.5
126 op/s » js-levenshtein
81 op/s » talisman
74 op/s » levenshtein-edit-distance
73 op/s » leven
34 op/s » fast-levenshtein
100 sentences, length max=170 min=6 avr=57.5
2,441 op/s » js-levenshtein
1,615 op/s » talisman
1,365 op/s » levenshtein-edit-distance
1,342 op/s » leven
687 op/s » fast-levenshtein
2000 words, length max=20 min=3 avr=9.5
2,607 op/s » js-levenshtein
1,783 op/s » talisman
1,830 op/s » levenshtein-edit-distance
1,608 op/s » leven
1,119 op/s » fast-levenshtein
Benchmarks was performed with node v8.6.0 on a MacBook pro 15", 2.9 GHz Intel Core i7
MIT © Gustaf Andersson
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