Question 1

How do I highlight fuzzy matches in a React component?

Accepted Answer

Use the `pre` and `post` options in `fuzzy.filter()` to wrap matches with HTML tags or React elements. For example, set `pre: ''` and `post: ''`, then render the resulting string safely in JSX using `dangerouslySetInnerHTML` or a sanitizer.

Question 2

Fuzzy vs Fuse.js: which should I use?

Accepted Answer

Fuzzy is lighter (1KB vs 10KB) and simpler, ideal for basic fuzzy search. Fuse.js offers more features like weighted search and better large-set performance. Choose Fuzzy for minimalism in small projects, Fuse.js for advanced needs in production apps.

Question 3

Can fuzzy search handle arrays with thousands of items?

Accepted Answer

Yes, but synchronously, which may cause UI lag. For large datasets, implement debouncing or move filtering to a web worker manually, as the library lacks built-in async support, per the TODO on async batch updates.

Question 4

How to implement fuzzy search in a dropdown or autocomplete?

Accepted Answer

Attach `fuzzy.filter()` to the input's onChange event, passing the query and list. Update dropdown options with the results, optionally highlighting matches using the wrap feature for visual feedback, as shown in the Disney example.

Question 5

Does fuzzy support non-Latin characters like Chinese or Arabic?

Accepted Answer

It works on Unicode strings, but the scoring algorithm is designed for Latin scripts. Accuracy might degrade with complex characters, and there's no specific localization support or testing mentioned in the documentation.

Question 6

Is the fuzzy library still maintained?

Accepted Answer

The last release was v0.1.3 in October 2016, and the TODO list has unresolved items like better match selection. It's stable but not actively developed, so for long-term projects, consider more updated alternatives.

fuzzy

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