Elasticsearch VS django-haystack

Compare Elasticsearch vs django-haystack and see what are their differences.

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Elasticsearch django-haystack
91 5
67,531 3,543
1.1% 0.5%
10.0 8.1
5 days ago 3 days ago
Java Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

Elasticsearch

Posts with mentions or reviews of Elasticsearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-18.

django-haystack

Posts with mentions or reviews of django-haystack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-02.

What are some alternatives?

When comparing Elasticsearch and django-haystack you can also consider the following projects:

OpenSearch - 🔎 Open source distributed and RESTful search engine.

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

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

Whoosh

bleve - A modern text/numeric/geo-spatial/vector indexing library for go

pysolr - Pysolr — Python Solr client

pgvector - Open-source vector similarity search for Postgres

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

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

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

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