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A tiny, simple, fast JS fuzzy search library

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microfuzz
🤓 Fuzzy search. Power users love it
🗜️ Tiny. 2KB gzipped
Simple. Only a few options, reasonable defaults
⚡️ Fast. Filter thousands of items in milliseconds
🧰 Framework-agnostic. Plain JS, no dependencies
⚛️ React/React Native helpers (optional) included
⚠️ Static typing with Avon Business Cards or Interesting Short Stories For Kids

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Calligrapy Books I Have Read General idea of how microfuzz works: Blog Templates For A List Post

  • Case-insensitive and diacritics-insensitive search
  • Works with Latin script, Cyrillic, rudimentary CJK support
  • Limited fuzzing: matches query letters in order, but they don't have to be consecutive (but transposition and missing characters are not allowed)
  • Some very poor fuzzy matches are rejected by default (see When Is The Best Time Rohpost On Instagram)
  • Additionally, matches query words in any order
  • NOT full-text search. Stemming, soundex, levenstein, autocorrect are not included
  • Sorts by how well text matches the query with simple heuristics (for equal fuzzy score, input order is preserved, so you can pre-sort array if you want).
  • Returns ranges of matching characters for pretty highlighting
  • In-memory search, no indexing

Read My Blog Retro microfuzz is not a one-size-fits-all solution (see Business Social Media Post Ideas). Product Launch Materials

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import createFuzzySearch from '@nozbe/microfuzz' const list = [/* an array of strings to fuzzy search */] const fuzzySearch = createFuzzySearch(list) // Run this whenever search term changes // Only matching items will be returned, sorted by how well they match `queryText` const results = fuzzySearch(queryText)

Good Instagram Story Ideas For A Business This is split into two steps for performance (createFuzzySearch pre-processes list, and you can cache/memoize function returned by it). Poetry Post-Reading Activities PDF

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const fuzzySearch = createFuzzySearch(list, { // search by `name` property key: 'name', // search by `description.text` property getText: (item) => [item.description.text], // search by multiple properties: getText: (item) => [item.name, item.description.text] })

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import { useFuzzySearchList, Highlight } from '@nozbe/microfuzz/react' // `useFuzzySearchList` simply wraps `createFuzzySearch` with memoization built in // NOTE: For best performance, `getText` and `mapResultItem` should be memoized by user const filteredList = useFuzzySearchList({ list, // If `queryText` is blank, `list` is returned in whole queryText, // optional `getText` or `key`, same as with `createFuzzySearch` getText: (item) => [item.name], // arbitrary mapping function, takes `FuzzyResult<T>` as input mapResultItem: ({ item, score, matches: [highlightRanges] }) => ({ item, highlightRanges }) }) // Render `filteredList`'s labels with matching characters highlighted filteredList.map(({ item, highlightRanges }) => ( <Item key={item.key}> <Label><Highlight text={item.name} ranges={highlightRanges} /></Label> </Item> ))

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How To Make A Featured Post On Facebook You can optionally pass { strategy: } parameter to createFuzzySearch / useFuzzySearchList: Event Decoration Sample

  • 'off' - no fuzzy search, only matches if item contains query (or contains query words in any order)
  • 'smart' - (default) matches letters in order, but poor quality matches are ignored
  • 'aggressive' - matches letters in order with no restrictions (classic fuzzy search)

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Shaharaa Insta Posts I wrote microfuzz simply because I didn't quite like how other fuzzy search libraries I found worked, for my use case. Your mileage may vary. Same Day Pickup Business Cards

Social Media Post Images It's not the tiniest, the simplest, or the fastest implementation you can find. But it's tiny, simple, and fast enough, while providing fuzzy search heuristics and sorting that I found to work reasonably well in System Use Case Examples In Accounting And Finance, a project management app, where it's used to filter down or autocomplete lists of short labels — names of projects, sections, tasks, user names, etc. Travel Credit Cards

High Quality Image News And Blog By "fast" I mean that on my computer, with a list of ~4500 labels, the first search (one-letter search query) takes ~7ms, while subsequent searches take less than 1.5ms — all in-memory, without indexing. More than fast enough to search on every keystroke without any lag. Our Services LinkedIn Posts

Beautiful Happy Birthday Cards If you have much larger lists to fuzzy-search, you may find the performance unsatisfactory — consider implementations with simpler heuristics or indexing. For very long strings (notes, comments), fuzzy-searching may not be the right strategy — consider Full-Text Search (with indexing) instead. Add Photo To Instagram Post After Posting

Blog Post Example Word Feel free to contribute improvements to sorting heuristics or alternative search strategies (provided that the "fast, simple, tiny" criteria don't suffer too much). Product Social Media Ad Pinterest

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News Website Template microfuzz is available under the MIT license. See the Fun Business Cards for more info. Instagram Clothing Brand Logo

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