Online Raku to Julia Converter
Click 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 Raku to Julia in a click of a button. To use this converter, take the following steps -
- Type or paste your Raku code in the input box.
- Click the convert button.
- The resulting Julia code from the conversion will be displayed in the output box.
Key differences between Raku and Julia
| Characteristic | Raku | Julia |
|---|---|---|
| Syntax | Flexible, expressive, Perl-inspired with support for multiple paradigms and custom operators. | Mathematical, concise, similar to MATLAB and Python, designed for clarity and performance. |
| Paradigm | Multi-paradigm: supports procedural, object-oriented, functional, concurrent, and reactive programming. | Multi-paradigm: primarily imperative, functional, and object-oriented (via multiple dispatch). |
| Typing | Gradual typing with dynamic and optional static type annotations. | Dynamic typing with optional type annotations and strong type inference. |
| Performance | Generally slower due to its flexibility and dynamic features; not optimized for high-performance computing. | High performance, close to C/Fortran speeds, designed for scientific and numerical computing. |
| Libraries and frameworks | Smaller ecosystem, fewer libraries, but growing; CPAN modules not directly compatible. | Rich and rapidly growing ecosystem, especially strong in scientific, numerical, and data analysis libraries. |
| Community and support | Smaller, passionate community; less mainstream support and fewer resources. | Active and expanding community, strong academic and industry support, good documentation and resources. |
| Learning curve | Steep, due to flexible syntax and many features; familiarity with Perl helps. | Moderate, especially for users with experience in MATLAB, Python, or other scientific languages. |
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