awesome-copyfarleft VS Elasticsearch

Compare awesome-copyfarleft vs Elasticsearch and see what are their differences.

awesome-copyfarleft

[Mirror] Upstream: https://nest.pijul.com/fabian/awesome-copyfarleft (by LibreCybernetics)

Elasticsearch

Free and Open, Distributed, RESTful Search Engine (by elastic)
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awesome-copyfarleft Elasticsearch
5 91
54 67,708
- 0.7%
2.1 10.0
about 1 year ago 2 days ago
Java
- 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.

awesome-copyfarleft

Posts with mentions or reviews of awesome-copyfarleft. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-19.
  • Security platform for tracking SOC2 compliance
    1 project | /r/cybersecurity | 22 Nov 2022
    There are also some Copy-far-left or Copyfair Licenses that could be appealing to you as similar to CC-BY-NC-ND: https://github.com/LibreCybernetics/awesome-copyfarleft
  • Elasticsearch does not belong to Elastic
    2 projects | news.ycombinator.com | 19 Jan 2021
    I don't agree that they are not open source, u only 'greed that it is a gray area and even on the previous comment mentioned that it is "pushing the boundaries". For eg, I maintain an "awesome-copyfarleft" list: https://github.com/LibreCybernetics/awesome-copyfarleft

    > changing from an open-source to a non-open-source license is a significant change which, when done without the consent of the community, is wrong.

    I don't think consent is possible and even a 2/3 supermajority on a license change seems out of reach. I can imagine some are pushing for permissive licenses like MIT/BSD, others for GPL/AGPL, others to remain as Apache 2.0, etc.

  • Elasticsearch and Kibana are now business risks
    3 projects | news.ycombinator.com | 14 Jan 2021
    There is some discussion on the P2P Foundation regarding copyfarleft/copyfair/copyjustright however in my experience even the most popular copyfarleft isn't as adopted.

    I have been gathering resources regarding copyfarleft licensing and projects here: https://github.com/LibreCybernetics/awesome-copyfarleft

  • awesome-copyfarleft: list of copyfarleft licenses, projects, and articles
    1 project | /r/socialistprogrammers | 8 Jan 2021
    1 project | /r/SocialistTech | 8 Jan 2021

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.

What are some alternatives?

When comparing awesome-copyfarleft and Elasticsearch you can also consider the following projects:

sandia-public-license - This is not a license of honor. No highly esteemed copyright statement is written here.

OpenSearch - 🔎 Open source distributed and RESTful search engine.

Licenses Library - Lightweight Android library which provides most common licenses in formatted and plain text

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

license - Prevent oil and gas companies from co-opting your work and extracting more fossil fuels with this software license.

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

pgvector - Open-source vector similarity search for Postgres

Whoosh

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

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

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

Milvus - A cloud-native vector database, storage for next generation AI applications