Elasticlunr

Elasticlunr

Elasticlunr is a lightweight JavaScript library for adding search functionality to web applications. It is focused on providing a simple, fast, and modular search experience.
Elasticlunr image
javascript search library

Elasticlunr: Lightweight JavaScript Search Library

A fast and modular search library for web applications, adding search functionality with simplicity and speed

What is Elasticlunr?

Elasticlunr is a lightweight open-source JavaScript library designed specifically for adding search functionality to web applications and websites. It is often described as the JavaScript alternative to Elasticsearch, providing fast and relevant search without requiring complex setup or external servers.

Some key features and benefits of Elasticlunr include:

  • Lightweight and fast - it builds an in-memory search index allowing for speedy queries without slow searches hitting the backend.
  • Easy integration - it can be dropped into any JavaScript application and integrated with minimal code.
  • Flexible matching - supports partial matching, typo tolerance, boolean operators, and more.
  • Completely client-side - no need for external servers or infrastructure, everything runs directly in the browser.
  • Modular architecture - easily customize search behavior by switching out components.
  • Open source - MIT licensed open source library with an active community.

Overall, if you need to add basic yet speedy search to a JavaScript heavy front-end app, Elasticlunr is a great choice to consider. Its focused scope and lightweight nature make integrating search achievable without slowing down or bloating your application.

Elasticlunr Features

Features

  1. Full-text search
  2. Lightweight
  3. Modular
  4. Written in JavaScript
  5. Runs in the browser
  6. Index stored in JSON format
  7. Stemming support
  8. Wildcard queries
  9. Boolean queries
  10. Boosting

Pricing

  • Open Source

Pros

Lightweight and fast

Easy to integrate

Runs in the browser

No external dependencies

Customizable and extensible

Cons

Less features than larger search engines

No advanced natural language processing

Not suitable for large datasets

No built-in relevance ranking


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