uFuzzy VS fuzzysort

Thank you. We need more libs like that. I just researched the field yesterday and https://github.com/leeoniya/uFuzzy looked pretty good. But there is a gap in the market of such libs. Just few allow to send the whole html document, serialize and deserialize index to be used in browser, highlighting the matches is desired feature.

Most importantly very few fuzzy search libs can get a simple substring match as a priority, which is understandable but not helpful. Imagine searching for “xample” and not having “example” among the results.

interesting, i made something much more stupid but brutally effective: https://github.com/leeoniya/uFuzzy

i guess if you wanted to do sorting by contact frequency you can just keep the original haystack sorted by frequency, and get Richard match first.

allow me to self-promote https://github.com/leeoniya/uFuzzy

Keep the tech simple and minimal. Just the basics: javascript, css, HTML. No react or other frameworks. No tech for tech's sake. I did use one very excellent search library uFuzzy.

maybe habit, maybe less devDependencies, maybe wanting to hand-author a readable/commented form of https://github.com/leeoniya/uFuzzy/blob/main/dist/uFuzzy.d.ts?

I use [1] for searching a fully static site

[1] https://github.com/farzher/fuzzysort

Use something like fuzzysort, to compare user input to what currently exists in the DB. If there are no good match scores, when comparing user input for "job title" to what exists in the DB, you can proceed with creating an entry. However, if there is a match, you can respond to the front-end with the best match, and use it to autofill the form (or provide some kind of feedback for the end user). Your web server should perform match score verification before adding a new job title to the DB.

This one perhaps fuzzy sort

I use fuzzysort for one of my static site search results

https://github.com/farzher/fuzzysort