chewy VS Elasticsearch Rails

Compare chewy vs Elasticsearch Rails and see what are their differences.

chewy

High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client (by toptal)

Elasticsearch Rails

Elasticsearch integrations for ActiveModel/Record and Ruby on Rails (by elastic)
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chewy Elasticsearch Rails
1 2
1,795 2,921
0.2% 0.3%
6.6 5.0
26 days ago 6 days ago
Ruby Ruby
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chewy

Posts with mentions or reviews of chewy. We have used some of these posts to build our list of alternatives and similar projects.

Elasticsearch Rails

Posts with mentions or reviews of Elasticsearch Rails. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-14.

What are some alternatives?

When comparing chewy and Elasticsearch Rails you can also consider the following projects:

Searchkick - Intelligent search made easy

ransack - Object-based searching.

pg_search - pg_search builds ActiveRecord named scopes that take advantage of PostgreSQL’s full text search

Thinking Sphinx - Sphinx plugin for ActiveRecord/Rails

Sunspot - Solr-powered search for Ruby objects

elasticsearch-ruby - Ruby integrations for Elasticsearch

Searchlogic - Searchlogic provides object based searching, common named scopes, and other useful tools.

Mongoid Search - Simple full text search for Mongoid ORM

scoped_search - Easily search you ActiveRecord models with a simple query language that converts to SQL.