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Online Julia to Raku Converter

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upload iconClick to select or drop your input code file here.

You can also type the input code below.

How to use this tool?

This free online converter lets you convert code from Julia to Raku in a click of a button. To use this converter, take the following steps -

  1. Type or paste your Julia code in the input box.
  2. Click the convert button.
  3. The resulting Raku code from the conversion will be displayed in the output box.

Key differences between Julia and Raku

CharacteristicJuliaRaku
SyntaxMathematical, similar to MATLAB and Python, concise and readable for scientific computing.Flexible, expressive, Perl-inspired with many ways to accomplish tasks, supports multiple syntactic forms.
ParadigmMulti-paradigm: primarily imperative, functional, and object-oriented (via multiple dispatch).Multi-paradigm: supports procedural, object-oriented, functional, concurrent, and declarative programming.
TypingDynamically typed with optional type annotations; supports multiple dispatch based on types.Dynamically typed with gradual typing; supports type constraints and gradual type checking.
PerformanceHigh performance, close to C/Fortran speeds due to JIT compilation (LLVM-based).Slower than Julia; performance is generally lower due to its dynamic features and less mature optimization.
Libraries and frameworksRich ecosystem for scientific computing, data science, and machine learning; growing but smaller than Python.Smaller library ecosystem; general-purpose modules available but fewer specialized libraries.
Community and supportActive and growing community, especially in academia and scientific computing; good documentation and forums.Smaller, passionate community; support mainly through IRC, mailing lists, and some documentation.
Learning curveGentle for users familiar with MATLAB or Python; straightforward for scientific programmers.Steeper due to flexible and expressive syntax; can be challenging for beginners or those new to Perl-like languages.