whoosh
typesense-website
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whoosh | typesense-website | |
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5 | 2 | |
527 | 33 | |
- | - | |
0.0 | 9.3 | |
4 months ago | 6 days ago | |
Python | Vue | |
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.
typesense-website
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Meilisearch v1.0 – the open-source Rust alternative to Algolia and Elasticsearch
Hmmm, I remember those emails and I did reply to gmourier, and made almost all of the changes you pointed out, to our comparison page. Here's [1] the exact commit with the changes I made.
The only one change I didn't make is the one about Meilisearch not being constrained by RAM, because of reports like this [2] I've seen in the past and because I saw this in your docs:
https://docs.meilisearch.com/learn/advanced/storage.html#mem...
>For the best performance, it is recommended to provide the same amount of RAM as the size the database takes on disk, so all the data structures can fit in memory.
[1] https://github.com/typesense/typesense-website/commit/0103ff...
- In search of the perfect URL validation regex (2010)
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
docs - System76 support documentation site
Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions
typesense-vue-instantsearch-demo - A demo app that shows you how to use Vue & the Typesense InstantSearch adapter, to build rich search interfaces.
pysolr - Pysolr — Python Solr client
catche-search-widget - A low-code way to add instant search to your website
elasticsearch-dsl-py - High level Python client for Elasticsearch
Wiki.js - Wiki.js | A modern and powerful wiki app built on Node.js
query-builder - sql query builder library for crystal-lang
wiki - The Ethereum Wiki
query.cr - Query abstraction for Crystal Language. Used by active_record.cr library.
core-js - Standard Library