Mongoid Search VS chewy

Compare Mongoid Search vs chewy and see what are their differences.

Mongoid Search

Simple full text search for Mongoid ORM (by mongoid)

chewy

High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client (by toptal)
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Mongoid Search chewy
0 2
314 1,807
0.0% 0.2%
0.0 6.5
about 2 years ago 14 days ago
Ruby Ruby
MIT License MIT License
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.

Mongoid Search

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

We haven't tracked posts mentioning Mongoid Search yet.
Tracking mentions began in Dec 2020.

chewy

Posts with mentions or reviews of chewy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-17.

What are some alternatives?

When comparing Mongoid Search and chewy you can also consider the following projects:

Searchkick - Intelligent search made easy

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

elasticsearch-ruby - Ruby integrations for Elasticsearch

ransack - Object-based searching.

Tire

elastics - Simple ElasticSearch client for ruby with AR integration

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

Thinking Sphinx - Sphinx/Manticore plugin for ActiveRecord/Rails

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