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A comparison of array languages & libraries: APL, J, BQN, Q, Julia, R, NumPy, Nial, Futhark, SaC & ArrayFire.

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Array Language & Library Comparisons

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This is a collection of idioms and small programs in APL, J, BQN, Julia, R, NumPy, Nial, Futhark & SaC.

There are several sites that do these kinds of comparisons:

General Array Language Specific Array Library Specific
Rosetta Code BQN-Dyalog Dictionary ArrayFire-MATLAB-NumPy
Programming-Idioms BQN-Dyalog Dictionary ArrayFire-Eigen
J-Dyalog APL Rosetta ArrayFire-Numpy
Q-APL Dictionary MatX-MATALB-NumPy

Language / Library Websites

Language 💲 Main Website Help / Docs Online REPL
💚 Dyalog APL dyalog.com Dyalog Help TryAPL
💚 J jsoftware.com J NuVoc J Playground
💚 BQN mlochbaum.github.io/BQN BQN Docs BQNPAD
💚 Q 💲 code.kx.com/q Q Ref 🚫
💙 Julia julialang.org Julia Docs Replit
💙 MATLAB 💲 mathworks.com/products/matlab.html MATLAB Help 💲
💙 NumPy* numpy.org NumPy Docs Replit
💙 R r-project.org R Docs JDoodle
💜 Nial nial-array-language.org Nial Dictionary TIO
💜 Futhark futhark-lang.org Futhark Docs 🚫
💜 Ivy pkg.go.dev/robpike.io/ivy Ivy Docs 🚫
💜💗 SaC sac-home.org SaC Docs 🚫
💗 ArrayFire* arrayfire.com ArrayFire Docs 🚫
💗 MatX* nvidia.github.io/MatX MatX API Ref 🚫
💗 ATen* - ATen Docs 🚫
💗 Eigen* eigen.tuxfamily.org Eigen Dox Godbolt

* Library, not an actual language

  • 💚 Main (APL-Family) Array Languages
  • 💙 Main (Non-APL-Family) Array Languages
  • 💜 Fringe Array Languages
  • 💗 Array Compiler Backends / Array Libraries

Comparisons

  1. REPL
  2. Index Base
  3. Axis/Rank Model
    1. LA = Leading Axis
    2. TA = Trailing Axis
    3. AA = Axis Agnostic
  4. Application Model
    1. () = Parentheses
    2. LR = Left to Right
    3. RL = Right to Left
  5. Row-major or Column-Major
1 2 3 4 5
APL 💚 1 (or ⎕IO) LA/TA RL Row
J 💚 0 LA RL Row
BQN 💚 0 LA RL Row
Q 💛 0 🚫 RL Row
Julia 💚 1 AA () Column
MATLAB 💚 1 LA () Column
NumPy 💚 0 AA () Row
R 💚 1 AA () Column
Nial 💛 1 AA LR Row
Futhark 💛 0 🚫 LR Row
Ivy 💛 1 (or origin) 🚫 RL Row
SaC 🚫 0 LA () Row
ArrayFire 🚫 0 LA () Column
MatX 🚫 0 LA () Row
  1. Length of Array (Leading Axis)
  2. Shape of Array
  3. Rank of Array
  4. Number of Elements in Array
6 7 8 9
APL ⍴⍴ ×/⍴
J # $ $$ */@$
BQN ≢≢ ×´≢
Q count 🚫 🚫 count raze
Julia size(a, 1) size(a) ndims(a) length(a)
MATLAB length(a) size(a) rank(a) numel(a)
NumPy len(a) a.shape np.ndim(a) a.size
R dim(a)[1] dim(a) length(dim(a)) length(a)
Nial first shape shape valence tally
Futhark length 🚫 🚫 flatten |> length
Ivy 1 take rho rho rho rho rho ,
SaC shape(a)[0] shape(a) shape(shape(a)) prod(shape(a))
ArrayFire a.dims()[0] a.dims()* a.numdims()* a.elements()
MatX a.Shape()[0] a.Shape() a.Rank() TotalSize(a)

💛 Means the REPL has certain limitations

  • Q REPL has no HOME, END, or any arrows (CTRL or not)
  • Nial REPL has no CTRL left or right arrow
  • Futhark REPL has no HOME, END, or DEL

If you are using Q, Nial, Futhark or other languages with REPL limitations, you can get around this by invoking with rlwrap. On Linux using the Q REPL:

sudo apt install rlwrap
rlwrap taskset -c 0 ./q

Note that even when using rlwrap, some of the limitations will remain (such as CTRL + arrows).

Other Comparisons

  1. Creating an Identity Matrix
  2. Creating an Iota Matrix
  3. Reversing a Matrix Row-wise, Column-wise and in Memory
  4. Summing a Matrix Row-wise, Column-wise and Down to a Scalar

Leetcode Problems

# Problem 📹
1 💛 P0485 - MCO (Max Consecutive Ones) -
2 💚 P1351 - Count Negatives YouTube Solution
3 💛 P1614 - Maximum Nesting Depth of the Parentheses YouTube Solution | II
4 💚 P1672 - Richest Customer Wealth YouTube Solution
5 💚 P1822 - Sign of the Product of Array YouTube Solution
6 💛 P2319 - Check if Matrix Is X-Matrix YouTube Solution
  • 💚 = All solutions complete
  • 💛 = Some solutions missing

Progress

Language 1a 1b 2 3 4 5 6
APL 💚 🚫 💚 💚 💚 💚 💚
J 💚 🚫 💚 💚 💚 💚 💚
BQN 💚 💚 💚 💚 💚 💚 💚
Q 💚 💚 💚 💚 💚 💚 💚
Julia 🚫 💚 💚 🚫 💚 💚 💚
MATLAB 🔜 🚫 💚 🚫 💚 💚 💚
NumPy 💚 💚 💚 🚫 💚 💚 💚
R 🔜 💚 💚 🔜 💚 💚 💚
Nial 💚 🚫 💚 💚 💚 💚 💚
Futhark 🔜 💚 💚 💚 💚 💚 💚
Ivy 🚫 🚫 💚 💚 💚 💚 💚
SaC 🔜 🔜 💚 🔜 💚 💚 💚
ArrayFire 🔜 🔜 💚 🔜 💚 💚 💚
MatX 🔜 🔜 💚 🔜 💚 💚 🔜

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A comparison of array languages & libraries: APL, J, BQN, Q, Julia, R, NumPy, Nial, Futhark, SaC & ArrayFire.

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  • Cuda 42.3%
  • C++ 36.4%
  • CMake 16.9%
  • MATLAB 2.0%
  • Makefile 1.7%
  • M 0.7%