Fuzzy Search

Inspired by bevacqua/fuzzysearch, a fuzzy matching library written in JavaScript. But contains some extras like ranking using Levenshtein distance and finding matches in a list of words.

Fuzzy searching allows for flexibly matching a string with partial input, useful for filtering data very quickly based on lightweight user input.

The current implementation uses the algorithm suggested by Mr. Aleph, a russian compiler engineer working at V8.

Install

go get github.com/lithammer/fuzzysearch/fuzzy

Usage

package main

import "github.com/lithammer/fuzzysearch/fuzzy"

func main() {
	fuzzy.Match("twl", "cartwheel")  // true
	fuzzy.Match("cart", "cartwheel") // true
	fuzzy.Match("cw", "cartwheel")   // true
	fuzzy.Match("ee", "cartwheel")   // true
	fuzzy.Match("art", "cartwheel")  // true
	fuzzy.Match("eeel", "cartwheel") // false
	fuzzy.Match("dog", "cartwheel")  // false
	fuzzy.Match("kitten", "sitting") // false
	
	fuzzy.RankMatch("kitten", "sitting") // -1
	fuzzy.RankMatch("cart", "cartwheel") // 5
	
	words := []string{"cartwheel", "foobar", "wheel", "baz"}
	fuzzy.Find("whl", words) // [cartwheel wheel]
	
	fuzzy.RankFind("whl", words) // [{whl cartwheel 6 0} {whl wheel 2 2}]
	
	// Unicode normalized matching.
	fuzzy.MatchNormalized("cartwheel", "cartwhéél") // true

	// Case insensitive matching.
	fuzzy.MatchFold("ArTeeL", "cartwheel") // true
}

You can sort the result of a fuzzy.RankFind() call using the sort package in the standard library:

matches := fuzzy.RankFind("whl", words) // [{whl cartwheel 6 0} {whl wheel 2 2}]
sort.Sort(matches) // [{whl wheel 2 2} {whl cartwheel 6 0}]

See the fuzzy package documentation for more examples.

License

MIT