Source code detector 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: GoGuesslang supports 30 programming languages:
| Languages | ||||
|---|---|---|---|---|
Batchfile |
C |
C# |
C++ |
CSS |
CoffeeScript |
Erlang |
Go |
HTML |
Haskell |
Java |
JavaScript |
Jupyter Notebook |
Lua |
Markdown |
Matlab |
Objective-C |
PHP |
Perl |
PowerShell |
Python |
R |
Ruby |
Rust |
SQL |
Scala |
Shell |
Swift |
TeX |
TypeScript |
With a guessing accuracy higher than 90%.
Chameledit is a simple web-editor that automatically highlights your code.
Pasta is a Slack bot that pretty pastes source code.
GG is a silly guessing game.
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Guesslang documentation is available at https://guesslang.readthedocs.io/en/latest/
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Guesslang language detection explained here https://guesslang.readthedocs.io/en/latest/how.html
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Guesslang is based on Tensorflow machine learning framework
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Python 3.6+ is required
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Windows specific
To run Tensorflow on Microsoft Windows you need to install Visual C++ runtime libraries, available on Microsoft website
- Show all available options
guesslang --help- Detect the programming language of
/bin/which:
guesslang /bin/which
# ⟶ 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 80.53%
# Batchfile 6.16%
# CoffeeScript 2.18%
# Markdown 1.66%
# JavaScript 1.47%
# ...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-
Source code training dataset created with SourceCodeTraining
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Developed with Tensorflow
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Example source codes used here retrieved from Rosetta Code