Tiny and blazing-fast fuzzy search in JavaScript
npm install fuzzysearch> Tiny and blazing-fast fuzzy search in JavaScript
Fuzzy searching allows for flexibly matching a string with partial input, useful for filtering data very quickly based on lightweight user input.
To see fuzzysearch in action, head over to [bevacqua.github.io/horsey][3], which is a demo of an autocomplete component that uses fuzzysearch to filter out results based on user input.
From npm
``shell`
npm install --save fuzzysearch
Returns true if needle matches haystack using a fuzzy-searching algorithm. Note that this program doesn't implement _[levenshtein distance][2]_, but rather a simplified version where there's no approximation. The method will return true only if each character in the needle can be found in the haystack and occurs after the preceding character.
`js`
fuzzysearch('twl', 'cartwheel') // <- true
fuzzysearch('cart', 'cartwheel') // <- true
fuzzysearch('cw', 'cartwheel') // <- true
fuzzysearch('ee', 'cartwheel') // <- true
fuzzysearch('art', 'cartwheel') // <- true
fuzzysearch('eeel', 'cartwheel') // <- false
fuzzysearch('dog', 'cartwheel') // <- false
An exciting application for this kind of algorithm is to filter options from an autocomplete menu, check out [horsey][3] for an example on how that might look like.
![chart showing abysmal performance for regexp-based implementation][1]
MIT
[1]: https://cloud.githubusercontent.com/assets/934293/6495796/106a61a6-c2ac-11e4-945d-3d1bb066a76e.png
[2]: http://en.wikipedia.org/wiki/Levenshtein_distance
[3]: http://bevacqua.github.io/horsey