weixsong/elasticlunr.js

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2066 stars · 152 forks observed · 2026-08-28

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

Elasticlunr.js is a lightweight full-text search engine library written in JavaScript, forked from Lunr.js with added flexibility. It supports query-time boosting, field search, boolean models, and Elasticsearch-like scoring, designed for browser and offline search over small document collections.

Use cases

• add search to a static website without a backend
• implement offline search in a mobile app or downloaded documents
• index a few thousand documents in Node.js without deploying Elasticsearch
• search specific fields of JSON documents with per-field boosting
• build a client-side search index that loads in the browser

When to choose

• you need lightweight, dependency-free full-text search in the browser or Node.js
• your corpus is small (thousands of documents) and a server-side search engine is overkill
• you want query-time boosting and field-level search configuration
• you need offline or low-bandwidth search functionality

When to avoid

• you need to index large corpora or scale horizontally - use Elasticsearch or Solr
• you need multilingual support beyond what the pipeline provides
• you need active maintenance and recent updates - the maintainer is seeking new maintainers
• you need faceted search, highlighting, or other advanced search features

Facets

library · maturity maintenance

search-engine nlp web-development browser full-text-search offline-search client-side-search inverted-index query-time-boosting lunr-fork search natural-language-processing nodejs javascript

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