I was looking at code.golf the other day and I wondered which languages were the least verbose, so I did a little data gathering.

I looked at 48 different languages that had completed 79 different code challenges on code.golf. I then gathered the results for each language and challenge. If a “golfer” had more than 1 submission to a challenge, I grabbed the most recent one. I then dropped the top 5% and bottom 5% to hopefully mitigate most outliers. Then came up with an average for each language, for each challenge. I then averaged the results across each language and that is what you see here.

For another perspective, I ranked each challenge then got the average ranking across all challenges. Below is the results of that.

Disclaimer: This is in no way scientific. It’s just for fun. If you know of a better way to sort these results please let me know.

  • HTTP_404_NotFound@lemmyonline.comEnglish
    1·
    3 years ago

    I’d love to see the same comparison with more real-world use-cases.

    Code golf, is mostly pretty simple use-cases, which have been optimized many times over.

    When, you build out an application with a user-interface, proper event handling, etc… c++ is MUCH more verbose then c# for example, and they are ranked pretty close together.

  • spencerwi@lemm.ee
    0·
    3 years ago

    I’m really surprised to see Java ranked as less-verbose than OCaml.

    Here’s an equivalent code sample in Java 17 vs OCaml:

    Java:

    abstract sealed class Expr permits Value, Add, Subtract, Multiply, Divide {
  abstract long eval();
}
record Value(long value) extends Expr {
  @Override
  long eval() { return value; }
}
record Add(Expr left, Expr right) {   
  @Override
  long eval() { return left.eval() + right.eval(); }
}
record Subtract(Expr left, Expr right) {
  @Override
  long eval() { return left.eval() - right.eval(); }
}
record Multiply(Expr left, Expr right) {
  @Override
  long eval() { return left.eval() * right.eval(); }
}
record Divide(Expr left, Expr right) {
  @Override
  long eval() { return left.eval() / right.eval(); }
}

    OCaml:

    type expr = 
  | Value of int
  | Add of expr * expr
  | Subtract of expr * expr
  | Multiply of expr * expr
  | Divide of expr * expr

let rec eval = function 
  | Value value -> value
  | Add (left, right) -> (eval left) + (eval right)
  | Subtract (left, right) -> (eval left) - (eval right)
  | Multiply (left, right) -> (eval left) * (eval right)
  | Divide (left, right) -> (eval left) / (eval right)

    …Java has so much more syntactical overhead than OCaml, and that’s even with recent Java and being pretty aggressive about using boiler-plate reducing sugars like Records. And F# has even less, since it doesn’t require you to use different operators for numerics or do as much manual casting between strings/numerics