Our great sponsors
| pysolr | Whoosh | |
|---|---|---|
| - | - | |
| 659 | - | |
| 0.3% | - | |
| 8.2 | - | |
| 5 days ago | about 8 years ago | |
| Python | ||
| BSD 3-clause "New" or "Revised" 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.
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.
pysolr
Posts with mentions or reviews of pysolr.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning pysolr 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 pysolr and Whoosh you can also consider the following projects:
solrpy - Automatically exported from code.google.com/p/solrpy
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
django-haystack - Modular search for Django
elasticsearch-dsl-py - High level Python client for Elasticsearch
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