query.cr VS Whoosh

Compare query.cr vs Whoosh and see what are their differences.

query.cr

Query abstraction for Crystal Language. Used by active_record.cr library. (by waterlink)
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query.cr Whoosh
- -
13 -
- -
0.0 -
over 7 years ago about 8 years ago
Crystal
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.

query.cr

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

We haven't tracked posts mentioning query.cr yet.
Tracking mentions began in Dec 2020.

Whoosh

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

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

What are some alternatives?

When comparing query.cr and Whoosh you can also consider the following projects:

soegen - Elasticsearch client library for crystal, similar to rubys stretcher gem

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

query-builder - sql query builder library for crystal-lang

django-haystack - Modular search for Django

hermes - Datamapper like Crystal ORM and adapter for Elasticsearch

elasticsearch-dsl-py - High level Python client for Elasticsearch

whoosh - Pure-Python full-text search library

pysolr - Pysolr — Python Solr client

solrpy - Automatically exported from code.google.com/p/solrpy

esengine - ElasticSearch ODM (Object Document Mapper) for Python - pip install esengine

Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions