whoosh
solrpy
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| whoosh | solrpy | |
|---|---|---|
| 5 | - | |
| 524 | 39 | |
| - | - | |
| 0.0 | 0.0 | |
| 4 months ago | over 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
whoosh
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Milli-py: Python bindings for Milli, an embeddable high-performance search engine
The only other embeddable search engine I'm aware off, Whoosh, is brilliant but building the index was quite slow, and search performance degraded quite a lot as number of documents increase (performance is strictly a non-goal). Meilisearch was comparatively faster, I didn't like managing a server to get "just search" in my scripts and applications. However, their underlying engine Milli solves both issues I had, and all that was needed creating bindings for it.
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Meilisearch v1.0 – the open-source Rust alternative to Algolia and Elasticsearch
Is it really "just a single statically linked binary"?
I'd love to use Meilisearch as you describe, but their so-called SDKs are just about for the search client, you still need the HTTP server listening on localhost.
I would love to see something like SQLite based off Meilisearch (i.e. a fully selfcontained library like https://github.com/mchaput/whoosh). Do you know if such a thing exists?
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Faster Full Text Search
For our full text search, we used whoosh, which works pretty well for moderately big amount of data.
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We upgraded an old, 3PB large, Elasticsearch cluster without downtime
Nearly a decade ago (oh god) I converted some overdesigned five node ES mess to https://github.com/mchaput/whoosh. It's (obviously) not the fastest or anything, but it was more than good enough for low-dozens of GBs of mostly static data.
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Starting a KF Discord Bot
Your best bet is to start using a proper search library rather than the simple loop with 'in' checks that you have now. A search lib will handle things like Unicode/ASCII similarities, removal of stop words, stemming, TF-IDF (and other) weighting, etc. and will be massively faster as well. Quite a few pages come up if you Google "python search engine", also Whoosh looks promising.
solrpy
We haven't tracked posts mentioning solrpy yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
pysolr - Pysolr — Python Solr client
Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions
django-haystack - Modular search for Django
Whoosh
elasticsearch-dsl-py - High level Python client for Elasticsearch
query-builder - sql query builder library for crystal-lang
query.cr - Query abstraction for Crystal Language. Used by active_record.cr library.