elasticsearch-py VS meilisearch-js

Compare elasticsearch-py vs meilisearch-js and see what are their differences.

elasticsearch-py

Official Python client for Elasticsearch (by elastic)

meilisearch-js

JavaScript client for the Meilisearch API (by meilisearch)
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elasticsearch-py meilisearch-js
21 15
4,121 664
0.8% 3.5%
8.7 8.7
5 days ago 17 days ago
Python TypeScript
Apache License 2.0 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.
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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-py

Posts with mentions or reviews of elasticsearch-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-24.

meilisearch-js

Posts with mentions or reviews of meilisearch-js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-24.
  • Show HN: Podcastsaver.com – a search engine testbench dressed as a podcast site
    3 projects | news.ycombinator.com | 24 Oct 2022
    If you remove the URLs from indexation, it'll generally save a ton of place and will be much, much faster to index. We are thinking about not indexing URLs by default; you can help us by explaining your use case here -> https://github.com/meilisearch/product/discussions/553

    Just a detail, if you're making a `du -sh` on your computer, the size on the disk will stay unchanged because we are doing soft deletion ;). Don't worry. It will be physically deleted after a while if you need it in the future.

    If you kept the default configuration of Meilisearch, the maximum size of the HTTP payload is 100Mb (for security). You change it here -> https://docs.meilisearch.com/learn/configuration/instance_op...

    addDocumentsInBatches() is just an helper to send your big json array into multiple parts, not absolutely sure you'll need it. (Code -> https://github.com/meilisearch/meilisearch-js/blob/807a6d827...)

    3 projects | news.ycombinator.com | 24 Oct 2022
    Thanks! I removed the URLs and now the searchable attributes are only title, description and some author fields!

    > Just a detail, if you're making a `du -sh` on your computer, the size on the disk will stay unchanged because we are doing soft deletion ;). Don't worry. It will be physically deleted after a while if you need it in the future.

    Ah I was just wildy undershooting the size I gave the PVC! I just gave it much more and it's fine -- right now it's resting around 19Gi of usage, which is actually a bit of a problem considering the data set was only like 4GB or something like that originally. That said, disk is really not an issue so I'll just throw more at it, maybe leave it at 32GB and call it a day (it's around 1.6MM documents out of ~2MM), so shouldn't be too much more.

    > If you kept the default configuration of Meilisearch, the maximum size of the HTTP payload is 100Mb (for security). You change it here -> https://docs.meilisearch.com/learn/configuration/instance_op...

    Thanks for this, I'll keep this in mind -- so I could actually pass off HUGE chunks to Meilisearch.

    It seems like the larger the chunk the more efficient? There didn't seem to be much of a change in how much time it took to work through a chunk of documents, more just that having lots of smaller chunks would go slower. I started off with 10k in a batch, then went to 1k then back to 5k, maybe I should go to 100k docs in a batch and see the performance.

    There's a blog post waiting to be written in here...

    > addDocumentsInBatches() is just an helper to send your big json array into multiple parts, not absolutely sure you'll need it. (Code -> https://github.com/meilisearch/meilisearch-js/blob/807a6d827...)

    Thanks! Was this something someone requested? Is there a tangible benefit (were there some customers that didn't want to split up the payloads themselves)? Because it seems like unnecessary cruft in the API otherwise.

  • What do you use for e-commerce search?
    4 projects | /r/PHP | 30 May 2022
    You could use Meilisearch: https://www.meilisearch.com/
    4 projects | /r/PHP | 30 May 2022
  • Official /r/rust "Who's Hiring" thread for job-seekers and job-offerers [Rust 1.61]
    4 projects | /r/rust | 20 May 2022
    COMPANY: Meilisearch, here is our website and Github repository.
  • What are your Most Used Self Hosted Applications?
    46 projects | /r/selfhosted | 28 Apr 2022
    Meilisearch - Provides search for the main BookStack static site/docs/blog.
  • 8 Open Source Projects for Your Ecommerce Stack
    7 projects | dev.to | 26 Apr 2022
    Meilisearch is an open source search engine that adds highly performant search engines to any website or app, including ecommerce stores.
  • Review: Saleor vs Medusa Two Opensource Headless Ecommerce Platforms
    4 projects | dev.to | 10 Apr 2022
    Medusa allows you to integrate any search engine of your choice into the platform. It already integrates with search systems like Meilisearch or Algolia to provide an intuitive search experience for the customers.
  • Build Your Own E-Commerce Keystone.js-Based System — Requirements and Architecture
    5 projects | dev.to | 8 Mar 2022
    Not so long ago I was working on a system based on Keystone.js CMS. But there it was used much more sophisticated way than just as basic headless CMS. I was easily able to extend it with search engine (Rust-based Meilisearch) and connect to external APIs.
  • OpenSearch – open-source search and analytics based on Apache 2.0 Elasticsearch
    5 projects | news.ycombinator.com | 5 Mar 2022
    Only semi-related, but I've recently started using https://www.meilisearch.com/. It's relatively limited, but works great for small use cases. It's also pretty easy to operate. I'm hoping as it continues to grow it will support more features and use cases. I don't think the creators intend to address the same depth of complex features in ElasticSearch (and the like), but that's a desirable attribute in my opinion.

What are some alternatives?

When comparing elasticsearch-py and meilisearch-js you can also consider the following projects:

searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.

Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.

Vue Storefront - Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends. It guides merchants to deliver exceptional customer experiences quickly and easily.

helm-charts

evtx2es - A library for fast parse & import of Windows Eventlogs into Elasticsearch.

qryn - qryn is a polyglot, high-performance observability framework for ClickHouse. Ingest, store and analyze logs, metrics and telemetry traces from any agent supporting Loki, Prometheus, OTLP, Tempo, Elastic, InfluxDB and many more formats and query transparently using Grafana or any other compatible client.

zeek-clickhouse

git-imerge - Incremental merge for git

Saleor - Saleor Core: the high performance, composable, headless commerce API.

orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!

google-api-nodejs-client - Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.