A very 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
- always allocate a new distance vector in order to not leak memory
$ 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
162 op/s » js-levenshtein
98 op/s » talisman
94 op/s » levenshtein-edit-distance
85 op/s » leven
39 op/s » fast-levenshtein
100 sentences, length max=170 min=6 avr=57.5
3,076 op/s » js-levenshtein
2,024 op/s » talisman
1,817 op/s » levenshtein-edit-distance
1,633 op/s » leven
800 op/s » fast-levenshtein
2000 words, length max=20 min=3 avr=9.5
3,119 op/s » js-levenshtein
2,416 op/s » talisman
2,141 op/s » levenshtein-edit-distance
1,855 op/s » leven
1,260 op/s » fast-levenshtein
Benchmarks was performed with node v8.12.0 on a MacBook Pro 15", 2.9 GHz Intel Core i9
MIT © Gustaf Andersson