Skip to content

bevacqua/fuzzysearch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

Demo

To see fuzzysearch in action, head over to bevacqua.github.io/horsey, which is a demo of an autocomplete component that uses fuzzysearch to filter out results based on user input.

Install

From npm

npm install --save fuzzysearch

fuzzysearch(needle, haystack)

Returns true if needle matches haystack using a fuzzy-searching algorithm. Note that this program doesn't implement levenshtein distance, 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 matches.

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 for an example on how that might look like.

But! RegExps...!

chart showing abysmal performance for regexp-based implementation

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

License

MIT

About

🔮 Tiny and blazing-fast fuzzy search in JavaScript

Resources

License

Stars

Watchers

Forks

Packages

No packages published