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Detect the programming language of a source code

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Guesslang Build Status Documentation Status Pypi version

Guesslang

Guesslang detects the programming language of a given source code:

echo '
package main
import "fmt"

func main() {
    fmt.Println("My mascot is a gopher and Google loves me. Who am I?")
}

' | guesslang

# ⟶ Programming language: Go

Guesslang supports 54 programming languages:

Languages
Assembly Batchfile C C# C++
Clojure CMake COBOL CoffeeScript CSS
CSV Dart DM Dockerfile Elixir
Erlang Fortran Go Groovy Haskell
HTML INI Java JavaScript JSON
Julia Kotlin Lisp Lua Makefile
Markdown Matlab Objective-C OCaml Pascal
Perl PHP PowerShell Prolog Python
R Ruby Rust Scala Shell
SQL Swift TeX TOML TypeScript
Verilog Visual Basic XML YAML

With a guessing accuracy higher than 90%.

Apps powered by Guesslang

Microsoft Visual Studio Code, automatic language detection

Visual Studio Code detects the programming language of the source code that you paste into the editor using Guesslang machine learning model.

Chameledit

Chameledit is a simple web-editor that automatically highlights your code.

Other projects...
  • Pasta, the Slack bot that pretty-pastes source code.
  • GG, a silly guessing game.

Documentation

Installation

  • Python 3.7+ is required

  • Install the latest stable version:

pip3 install guesslang
  • or install Guesslang from source code:
pip3 install .
  • Windows specific

To run Tensorflow on Microsoft Windows you need to install Visual C++ runtime libraries, available on Microsoft website

Guesslang command line

  • Show all available options
guesslang --help
  • Detect the programming language of /etc/bashrc configuration file:
guesslang /etc/bashrc

# ⟶ Programming language: Shell
  • Detect the programming language of a given text:
echo '
/** Turn command line arguments to uppercase */
object Main {
  def main(args: Array[String]) {
    val res = for (a <- args) yield a.toUpperCase
    println("Arguments: " + res.toString)
  }
}
' | guesslang

# ⟶ Programming language: Scala
  • Show the detection probabilities for a given source code:
echo "
def qsort(items):
    if not items:
        return []
    else:
        pivot = items[0]
        less = [x for x in items if x <  pivot]
        more = [x for x in items[1:] if x >= pivot]
        return qsort(less) + [pivot] + qsort(more)


if __name__ == '__main__':
    items = [1, 4, 2, 7, 9, 3]
    print(f'Sorted: {qsort(items)}')

" | guesslang --probabilities

# Language name       Probability
#  Python               74.80%
#  Haskell               6.73%
#  CoffeeScript          5.32%
#  Groovy                1.95%
#  Markdown              0.93%
#  ...

Guesslang Python package

from guesslang import Guess


guess = Guess()

name = guess.language_name("""
    % Quick sort

    -module (recursion).
    -export ([qsort/1]).

    qsort([]) -> [];
    qsort([Pivot|T]) ->
          qsort([X || X <- T, X < Pivot])
          ++ [Pivot] ++
          qsort([X || X <- T, X >= Pivot]).
""")

print(name)  # ⟶ Erlang

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  • Python 100.0%