🆚 Fuse.js vs. Meilisearch

Type

Site search software
Site search software

About

Fuse.js is a powerful and lightweight JavaScript library for client-side fuzzy search.

Meilisearch is an open-source AI-powered hybrid search engine for applications and websites that combines keyword-based and vector-based search to retrieve results using both lexical matching and semantic similarity.

It provides a REST API and client libraries for multiple programming languages, supports full-text search with typo tolerance, synonyms, faceted filtering, customizable sorting, and vector embeddings for semantic search.

Headquarters

San Francisco, California, United States
Paris, France

Website

Pricing

Free ✔️Open source
Free version ✔️Self-managed, open source
Cloud
Build
(100K documents, 50K searches)
$30+/month
Pro
(1M documents, 250K searches)
$300+/month

Categories

Site Search › Rank #19
Site Search › Rank #23
JavaScript Libraries › Rank #232

Popularity

Determined by the number of sites using each technology.

The Fuse.js site search software is 1.5 times more popular than Meilisearch.
Total websites

Market share

Site Search

Popularity by country

Determined by the number of sites detected from each country.

Fuse.js is more popular in the United States, France, and Australia, while Meilisearch is more popular in Germany, Portugal, and Belgium.
United States
France
Australia
Germany
Portugal
United Kingdom
Canada
Belgium
Netherlands
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

Fuse.js is more popular among sites focused on business, travel, and marketing and merchandising, while Meilisearch is more commonly used on online shopping, fashion and beauty, and software and hardware sites.
Business
Online Shopping
Travel
Marketing/Merchandising
General News
Internet Services
Education/Reference
Fashion/Beauty
Public Information
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#7,058
#11,858
View more ➝
Name
Rank
#8,769
#9,670
#10,505
View more ➝

See also

🗃️ About This Data