🆚 Lunr vs. Meilisearch
- 📈 Lunr is three times more popular than Meilisearch.
- 🌎 Lunr is more popular in Germany, the United States, and the United Kingdom.
- 🌍 Meilisearch is more popular in France, Portugal, and the Netherlands.
Type
About
Lunr.js is a small full-text search JavaScript library for use in the browser.
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
Pricing
(100K documents, 50K searches)$30+/month
(1M documents, 250K searches)$300+/month
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 6th most popular in Germany in the Site Search category.
- ⬆️ 177th most popular in Germany in the JavaScript Libraries category.
- 🥉 Third most popular in Portugal in the Site Search category.
- ⭐ 7th most popular in Belgium in the Site Search category.
- ⭐ 8th most popular in France in the Site Search category.
- 🔥 13rd most popular in Germany in the Site Search category.
- ⬆️ 23rd most popular in the United States in the Site Search category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,375,483 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
Flexsearch