APL.jl VS array

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

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
APL.jl array
3 4
62 187
- -
0.0 6.9
almost 2 years ago 3 months ago
Julia C++
GNU General Public License v3.0 or later Apache License 2.0
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

array

Posts with mentions or reviews of array. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-02.

What are some alternatives?

When comparing APL.jl and array 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

array - Simple array language written in kotlin

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

julia - The Julia Programming Language

optimizing-the-memory-layout-of-std-tuple - Optimizing the memory layout of std::tuple

nlvm - LLVM-based compiler for the Nim language

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

Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

NumPy - The fundamental package for scientific computing with Python.

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.