APL.jl VS aplette

Compare APL.jl vs aplette and see what are their differences.

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. (by gregfjohnson)
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APL.jl aplette
3 3
62 87
- -
0.0 3.4
about 2 years ago about 1 year ago
Julia C
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.

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

aplette

Posts with mentions or reviews of aplette. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-04.
  • Boehm-Demers-Weiser Garbage Collector
    4 projects | news.ycombinator.com | 4 Mar 2023
  • Try APL
    7 projects | news.ycombinator.com | 10 Jun 2021
    There is Aplette which supposedly integrates nicely with other Unix tools. It's a port/update of the earlier openAPL source code, which I think was done by Ken Thompson? Here:

    https://github.com/gregfjohnson/aplette

  • The APL Orchard
    1 project | news.ycombinator.com | 4 Feb 2021
    If you're interested in recent developments in array languages, I recommend checking out:

    BQN https://mlochbaum.github.io/BQN/

    ngn/k https://git.sr.ht/~ngn/k/tree/master/item/readme.txt (Previous discussion: https://news.ycombinator.com/item?id=22009241)

    aplette, which is a modernization of Ken Thompson's APL https://github.com/gregfjohnson/aplette (Previous discussion: https://news.ycombinator.com/item?id=21740536)

    I'd also recommend checking out J, which isn't a recent development, but has the best syntax out of all array languages, has the best development environments, is the easiest to learn (it has a way to learn it built into the language itself!), and is the only one that treats making GUIs as a first-class feature: jsoftware.com (Has so many previous discussions I just recommend using HN search to find them.)

    The chat is biased to Dyalog APL, but a lot of the modern additions Dyalog has made to the language make it (in my opinion) worse as a notation, so ideally don't let it turn you off of the concept of array languages entirely if Dyalog doesn't "click" with you.

    If you haven't already, you should also check out Notation as a Tool of Thought, a paper so good it won Iverson the Turing Award:

    https://www.eecg.utoronto.ca/~jzhu/csc326/readings/iverson.p...

What are some alternatives?

When comparing APL.jl and aplette you can also consider the following projects:

ngn-apl - An APL interpreter written in JavaScript. Runs in a browser or NodeJS.

ride - Remote IDE for Dyalog APL

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

array - Simple array language written in kotlin

julia - The Julia Programming Language

nottinygc - Higher-performance allocator for TinyGo WASI apps

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

sgcl - Smart Garbage Collection Library for C++