similarity
v1.2.1
Published
How similar are these two strings?
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similarity
How similar are these two strings?
Install
npm:
npm install similarity
Use
var similarity = require('similarity')
similarity('food', 'food') // 1
similarity('food', 'fool') // 0.75
similarity('ding', 'plow') // 0
similarity('chicken', 'chick') // 0.714285714
similarity('ES6-Shim', 'es6 shim') // 0.875 (case insensitive)
similarity('ES6-Shim', 'es6 shim', {sensitive: true}) // 0.5 (case sensitive)
API
similarity(left, right[, options])
Get the similarity (number
) between two values (string
s),
where 0
is dissimilar, and 1
is equal.
options.sensitive
(boolean
, default:false
) — Turn on (true
) to treat casing differences as differences
CLI
Usage: similarity [options] <word> <word>
How similar are these two strings?
Options:
-h, --help output usage information
-v, --version output version number
-s, --sensitive be sensitive to casing differences
Usage:
# output similarity
$ similarity sitting kitten
0.5714285714285714
$ similarity saturday sunday
0.625
See also
Note: This module uses Levenshtein distance to measure similarity, but there are many other algorithms for string comparison. Here are a few:
clj-fuzzy
— Handy collection of algorithms dealing with fuzzy strings and phoneticsnatural
— General natural language facilities for nodestring-similarity
— Finds degree of similarity between two strings, based on Dice’s coefficientdice-coefficient
— Sørensen–Dice coefficientjaro-winkler
— The Jaro-Winkler distance metric