bordeaux-threads VS jelm

Compare bordeaux-threads vs jelm and see what are their differences.

bordeaux-threads

Portable shared-state concurrency for Common Lisp (by sionescu)

jelm

Extreme Learning Machine in J (by peportier)
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bordeaux-threads jelm
6 3
222 12
- -
5.9 10.0
18 days ago almost 5 years ago
Common Lisp TeX
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.

bordeaux-threads

Posts with mentions or reviews of bordeaux-threads. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

jelm

Posts with mentions or reviews of jelm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-20.
  • Is APL Dead?
    7 projects | news.ycombinator.com | 20 Oct 2021
  • The Lisp OS “Mezzano” Running Native on Librebooted ThinkPads
    5 projects | news.ycombinator.com | 15 Oct 2021
  • Learning Common Lisp to beat Java and Rust on a phone encoding problem
    9 projects | news.ycombinator.com | 1 Oct 2021
    I have a bunch of links to ML material for either APL or J. I don't know of any particular library for J. J is interpreted, so it is not as fast as other implementations. I am mainly using it to experiment on concepts and teach myself more ML in J because of the iterative nature of the REPL, and the succinct code. I can keep what's going on in my head, and glance at less than 100 lines, usually 15 lines, of code to refresh it.

    There is a series of videos of learning neural networks in APL cited by others here on this thread.

    Pandas author, Wes McKinney, cited J as an influence in his work on Pandas.

    Extreme Learning Machine in J (code and PDF are here too):

    https://github.com/peportier/jelm

    Convolutional neural networks in APL (PDF and video on page):

    https://dl.acm.org/doi/10.1145/3315454.3329960

    A DSL to implement MENACE (Matchbox Educable Noughts And Crosses Engine) in APL (Noughts and Crosses or Tic-tac-toe):

    https://romilly.github.io/o-x-o/an-introduction.html

What are some alternatives?

When comparing bordeaux-threads and jelm you can also consider the following projects:

woo - A fast non-blocking HTTP server on top of libev

BQN - An APL-like programming language. Self-hosted!

prechelt-phone-number-encoding - Comparison between Java and Common Lisp solutions to a phone-encoding problem described by Prechelt

array - Simple array language written in kotlin

cl-cookbook - The Common Lisp Cookbook

apltail - APL Compiler targeting a typed array intermediate language

prechelt-phone-number-enco

j-prez

ExpansionCards - Reference designs and documentation to create Expansion Cards for the Framework Laptop

ulisp - A version of the Lisp programming language for ATmega-based Arduino boards.