ngn-apl VS APL.jl

Compare ngn-apl vs APL.jl and see what are their differences.

ngn-apl

An APL interpreter written in JavaScript. Runs in a browser or NodeJS. (by abrudz)
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ngn-apl APL.jl
3 3
29 52
- -
0.0 0.0
over 1 year ago about 1 month ago
JavaScript Julia
MIT License 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.

ngn-apl

Posts with mentions or reviews of ngn-apl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-10.

APL.jl

Posts with mentions or reviews of APL.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-26.
  • The counter-intuitive rise of Python in scientific computing (2020)
    9 projects | news.ycombinator.com | 26 Mar 2022
    2. ipython repl

    1. pairs with jaimebuelta's artistic vs engineering dichotomy, but also plays into the scientist wearing many more hats than just programmer. Code can be two or more degrees removed from the published paper -- code isn't the passion. There isn't reason, time, or motivation to think deeply about syntax.

    2. For a lot of academic work, the programming language is primarily an interface to an advanced plotting calculator. Or at least that's how I think about the popularity of SPSS and Stata. Ipython and then jupyter made this easy for python.

    For what it's worth, the lab I work for is mostly using shell, R, matlab, and tiny bit of python. For numerical analysis, I like R the best. It has a leg up on the interactive interface and feels more flexible than the other two. R also has better stats libraries. But when we need to interact with external services or file formats, python is the place to look (why PyPI beat out CPAN is similar question).

    Total aside: Perl's built in regexp syntax is amazing and a thing I reach for often, but regular expressions as a DSL are supported almost everywhere (like using languages other than shell to launch programs and pipes -- totally find but misses all the ergonomics of using the right tool for the job). It'd love to explore APL as an analogous numerical DSL across scripting languages. APL.jl [0] and, less practically april[1], are exciting.

    [0] https://github.com/shashi/APL.jl

  • Symbolic Programming
    3 projects | reddit.com/r/apljk | 8 Aug 2021
    APL.jl might be of interest to you.
  • Try APL
    7 projects | news.ycombinator.com | 10 Jun 2021

What are some alternatives?

When comparing ngn-apl and APL.jl you can also consider the following projects:

aplette - This is a new take on an old language: APL. The goal is to pare APL down to its elegant essence. This version of APL is oriented toward scripting within a Unix-style computing environment.

array - Simple array language written in kotlin

ride - Remote IDE for Dyalog APL

Co-dfns - High-performance, Reliable, and Parallel APL

json - A tiny JSON parser and emitter for Perl 6 on Rakudo

julia - The Julia Programming Language

nlvm - LLVM-based compiler for the Nim language

speakeasy - **NOT MAINTAINED** Two-factor authentication for Node.js. One-time passcode generator (HOTP/TOTP) with support for Google Authenticator.

conan - Conan - The open-source C/C++ package manager