pljs VS pgproxy

Compare pljs vs pgproxy and see what are their differences.

pljs

PLJS - Javascript Language Plugin for PostreSQL (by plv8)

pgproxy

Execute plv8 functions from node. Execute node functions from plv8. (by claytongulick)
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pljs pgproxy
2 1
113 6
0.9% -
4.4 10.0
4 months ago over 4 years ago
C JavaScript
GNU General Public License v3.0 or later 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.
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.

pljs

Posts with mentions or reviews of pljs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-08.

pgproxy

Posts with mentions or reviews of pgproxy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-23.
  • PLJS – JavaScript Language Plugin for PostreSQL
    4 projects | news.ycombinator.com | 23 Jul 2023
    I wrote this[1] several years ago to help with that.

    It lets you write a function in nodejs that actually executes in plv8 inside the database.

    To your project code though, it mostly looks like a normal js function (with some limitations).

    Amongst other benefits, it allows you to manage your plv8 functions as a normal part of your repo.

    [1]https://github.com/claytongulick/pgproxy

What are some alternatives?

When comparing pljs and pgproxy you can also consider the following projects:

plv8 - V8 Engine Javascript Procedural Language add-on for PostgreSQL

winterjs - Winter is coming... ❄️

llrt - LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.