Powerful, lightweight fuzzy-search library, with zero dependencies.


What is fuzzy searching?

Generally speaking, fuzzy searching (more formally known as approximate string matching) is the technique of finding strings that are approximately equal to a given pattern (rather than exactly).

Why should I use it?

  • With Fuse.js, you don’t need to setup a dedicated backend just to handle search.
  • Simplicity and performance were the main criteria when developing this library.
As easy as 1, 2, 3
// 1. List of items to search in
const books = [
    title: "Old Man's War",
    author: {
      firstName: 'John',
      lastName: 'Scalzi'
    title: 'The Lock Artist',
    author: {
      firstName: 'Steve',
      lastName: 'Hamilton'

// 2. Set up the Fuse instance
const fuse = new Fuse(books, {
  keys: ['title', 'author.firstName']

// 3. Now search!

// Output:
// [
//   {
//     item: {
//       title: "Old Man's War",
//       author: {
//         firstName: 'John',
//         lastName: 'Scalzi'
//       }
//     },
//     refIndex: 0
//   }
// ]

When should I use It?

It might not make sense for every situation, but can be ideal depending on your search requirements. For example:

  • When you want client-side fuzzy searching of small to moderately large data sets.
  • When you can't justify setting up a dedicated backend simply to handle search. ElasticSearch or Algolia, although both great services, may be overkill for your particular use cases.

Can I still use it on the backend?

Of course! Fuse.js has no DOM dependencies.

Who's using Fuse.js these days?

Plenty of people. It's hard to say an exact number, since it's free. But a good indication is the number of dependentsopen in new window on NPM, and the dependency graphopen in new window and stargazersopen in new window on GitHub.

Check out the live demo to fiddle with it and to learn how to use it.

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