m31coding/fuzzy-search

Health v2 · maintenance only

Adoption not part of the score

1125 stars · 19 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A fast, dependency-free TypeScript fuzzy search library for searching entities by names and terms, powered by a suffix array and n-gram character sorting. It works in both browser and Node.js environments and supports multilingual text with dynamic index updates.

Use cases

• add fuzzy search autocomplete to a web app
• search a list of names with typos in the browser
• implement multilingual client-side search over entities
• build a fast prefix and substring search index in JavaScript
• fuzzy match user input against a small dataset under 10ms
• search objects by id and name fields in a frontend app

When to choose

• you need fast client-side fuzzy search with no dependencies
• your dataset is small to medium and must be indexed in the browser
• you need multilingual, language-agnostic string matching
• you want to insert, update, and remove indexed entities dynamically

When to avoid

• you need full-text search over large corpora or server-scale datasets
• you need a hosted search service with analytics and relevance tuning
• you need semantic or vector-based search rather than string matching

Facets

library · maturity active

search-engine parser web-development frontend browser cross-platform fuzzy-search string-matching suffix-array n-grams prefix-search substring-search multilingual typescript zero-dependency search algorithms natural-language-processing nodejs

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