chewy VS elasticsearch-ruby

Compare chewy vs elasticsearch-ruby and see what are their differences.

chewy

High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client (by toptal)
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chewy elasticsearch-ruby
1 2
1,794 1,870
0.2% 0.4%
6.6 9.4
19 days ago 13 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-ruby

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

What are some alternatives?

When comparing chewy and elasticsearch-ruby you can also consider the following projects:

Searchkick - Intelligent search made easy

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

Elasticsearch Rails - Elasticsearch integrations for ActiveModel/Record and Ruby on Rails

ransack - Object-based searching.

Sunspot - Solr-powered search for Ruby objects

Thinking Sphinx - Sphinx plugin for ActiveRecord/Rails

Mongoid Search - Simple full text search for Mongoid ORM

textacular - Textacular exposes full text search capabilities from PostgreSQL, and allows you to declare full text indexes. Textacular will extend ActiveRecord with named_scope methods making searching easy and fun!

has_scope - Map incoming controller parameters to named scopes in your resources