lucaong/minisearch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

6108 stars · 172 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MiniSearch is a tiny, dependency-free in-memory full-text search engine written in TypeScript for browser and Node.js. It provides prefix and fuzzy matching, field boosting, ranking, and auto-suggestion for datasets that fit in process memory.

Use cases

• add search-as-you-type to a web or mobile app
• implement client-side full-text search without a search server
• build autocomplete and query auto-suggestions
• search a small dataset with typo tolerance and fuzzy matching
• run offline search in the browser or an edge worker
• index documents in memory in a Node.js process

When to choose

• your dataset fits in memory and you want zero-dependency, lightweight search
• you need fast client-side search without network latency or a backend
• you want prefix, fuzzy, and field-boosted search with a simple API

When to avoid

• you need to index very large datasets that exceed process memory
• you need a distributed, persistent, or server-backed search engine like Elasticsearch
• you need advanced features like faceting, geosearch, or multi-node scaling

Facets

library · maturity stable

search-engine http-client web-development frontend developer-tools browser cross-platform fulltext-search fuzzy-search autocomplete autosuggestion in-memory-index typo-tolerance zero-dependencies typescript search nodejs javascript

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