array VS BQN

Compare array vs BQN and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
array BQN
4 49
188 831
- -
6.9 8.9
4 months ago 9 days ago
C++ KakouneScript
Apache License 2.0 ISC 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.

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.
  • Benchmarking 20 programming languages on N-queens and matrix multiplication
    15 projects | news.ycombinator.com | 2 Jan 2024
    I should have mentioned somewhere, I disabled threading for OpenBLAS, so it is comparing one thread to one thread. Parallelism would be easy to add, but I tend to want the thread parallelism outside code like this anyways.

    As for the inner loop not being well optimized... the disassembly looks like the same basic thing as OpenBLAS. There's disassembly in the comments of that file to show what code it generates, I'd love to know what you think is lacking! The only difference between the one I linked and this is prefetching and outer loop ordering: https://github.com/dsharlet/array/blob/master/examples/linea...

  • A basic introduction to NumPy's einsum
    13 projects | news.ycombinator.com | 9 Apr 2022
    If you are looking for something like this in C++, here's my attempt at implementing it: https://github.com/dsharlet/array#einstein-reductions

    It doesn't do any automatic optimization of the loops like some of the projects linked in this thread, but, it provides all the tools needed for humans to express the code in a way that a good compiler can turn it into really good code.

BQN

Posts with mentions or reviews of BQN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-17.
  • Bare minimum atw-style K interpreter for learning purposes
    6 projects | news.ycombinator.com | 17 Jan 2024
    I recommend checking BQN at https://mlochbaum.github.io/BQN/ and the YouTube channel code_report by Conor Hoekstra (and also "Composition Intuition by Conor Hoekstra | Lambda Days 2023"). It is well documented.
  • YAML Parser for Dyalog APL
    4 projects | news.ycombinator.com | 8 Jan 2024
    I don't put a lot of stock in the "write-only" accusation. I think it's mostly used by those who don't know APL because, first, it's clever, and second, they can't read the code. However, if I remember I implemented something in J 10 years ago, I will definitely dig out the code because that's the fastest way by far for me to remember how it works.

    This project specifically looks to be done in a flat array style similar to Co-dfns[0]. It's not a very common way to use APL. However, I've maintained an array-based compiler [1] for several years, and don't find that reading is a particular difficulty. Debugging is significantly easier than a scalar compiler, because the computation works on arrays drawn from the entire source code, and it's easy to inspect these and figure out what doesn't match expectations. I wrote most of [2] using a more traditional compiler architecture and it's easier to write and extend but feels about the same for reading and small tweaks. See also my review [3] of the denser compiler and precursor Co-dfns.

    As for being read by others, short snippets are definitely fine. Taking some from the last week or so in the APL Farm, {⍵÷⍨+/|-/¯9 ¯11+.○?2⍵2⍴0} and {(⍸⍣¯1+\⎕IO,⍺)⊂[⎕IO]⍵} seemed to be easily understood. Forum links at [4]; the APL Orchard is viewable without signup and tends to have a lot of code discussion. There are APL codebases with many programmers, but they tend to be very verbose with long names. Something like the YAML parser here with no comments and single-letter names would be hard to get into. I can recognize, say, that c⌿¨⍨←(∨⍀∧∨⍀U⊖)∘(~⊢∊LF⍪WS⍨)¨c trims leading and trailing whitespace from each string in a few seconds, but in other places there are a lot of magic numbers so I get the "what" but not the "why". Eh, as I look over it things are starting to make sense, could probably get through this in an hour or so. But a lot of APLers don't have experience with the patterns used here.

    [0] https://github.com/Co-dfns/Co-dfns

    [1] https://github.com/mlochbaum/BQN/blob/master/src/c.bqn

    [2] https://github.com/mlochbaum/Singeli/blob/master/singeli.bqn

    [3] https://mlochbaum.github.io/BQN/implementation/codfns.html

    [4] https://aplwiki.com/wiki/Chat_rooms_and_forums

  • k on pdp11
    6 projects | news.ycombinator.com | 8 Jan 2024
  • Uiua: Weekly challenge 242
    1 project | dev.to | 12 Nov 2023
    Uiua is an interesting new language. Strongly influenced by APL and BQN, it's array-oriented and stack-based. To explore it briefly, I will walk through my solutions to this week's Perl weekly challenge (242).
  • Ask HN: What are the best / most accessible languages for blind programmers?
    1 project | news.ycombinator.com | 18 Oct 2023
    https://mlochbaum.github.io/BQN/

    Forth and Lisps tend to be fairly visual syntax free as well.

    I'm just speculating though, looking for someone with experience to confirm or rebuke.

  • Uiua: A minimal stack-based, array-based language
    5 projects | news.ycombinator.com | 27 Sep 2023
    > Are there any other languages that use glyphs so heavily?

    APL (the first, invented in the 1960s): https://en.wikipedia.org/wiki/APL_(programming_language)

    BQN (a modern APL, looks like an inspiration for Uiua though I don't know): https://mlochbaum.github.io/BQN/

    Too many smaller esoteric languages to count.

  • Ask HN: Best APL Keyboards. Any Ideas?
    1 project | news.ycombinator.com | 2 Sep 2023
    There is no need to have a specific keyboard. The actual solution depends on what APL you're using, but the principle is the same. The various symbols are available on the regular keys, and you use some way to indicate that you want the APL symbol rather than the regular symbol.

    Dyalog has two different IDE's the support this. Ride uses backquote by default, while the windows IDE uses control.

    Kap uses backquote in all its interfaces. Here's what it looks like in the web version: https://kapdemo.dhsdevelopments.com/clientweb2/

    Likewise, BQN does the same thing, but uses backslash: https://mlochbaum.github.io/BQN/

    When using GNU APL there is an Emacs mode available (which I am the author of) that provides an input method.

    So the long story short, you should be able to get going with any array language without getting any special keyboard.

  • Is there a programming language that will blow my mind?
    12 projects | /r/ProgrammingLanguages | 1 Jun 2023
    Vouch for array programming, but also BQN. Modern, very good documentation, a bit less confusing than APL imo.
  • Suggestivity and Idioms in APL
    1 project | news.ycombinator.com | 8 May 2023
    For anyone looking to get into array programming, I'd recommend https://mlochbaum.github.io/BQN/. I'm no expert but I had a lot of fun using it for Advent of Code last year. I found it to be a lot more sensible and modern feeling than J (the only other one I've tried).
  • K: We need to talk about group
    3 projects | news.ycombinator.com | 31 Mar 2023
    There’s also at least BQN, which I suspect is the language used in those comments:

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

What are some alternatives?

When comparing array and BQN you can also consider the following projects:

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

APL - another APL derivative

NumPy - The fundamental package for scientific computing with Python.

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

cadabra2 - A field-theory motivated approach to computer algebra.

sbcl - Mirror of Steel Bank Common Lisp (SBCL)'s official repository

alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Kbd - Alternative unified APL keyboard layouts (AltGr, Backtick, Compositions)

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

type-system-j - adds an optional type system to J language

Einsum.jl - Einstein summation notation in Julia

TablaM - The practical relational programing language for data-oriented applications