Three simple steps
How to use this tool?
This free online converter translates R source code into Raku in three simple steps.
- Step 1
Add your R code
Type, paste, or upload the R code you want to translate.
- Step 2
Convert the code
Click Convert to translate the source code into Raku.
- Step 3
Review the result
Review, copy, or download the resulting Raku code from the output editor.
Language comparison
Key differences between R and Raku
| Characteristic | R | Raku |
|---|---|---|
| Syntax | Specialized for statistical computing; concise but can be idiosyncratic and inconsistent. | Modern, flexible, and expressive; supports multiple paradigms and allows for custom operators and grammars. |
| Paradigm | Primarily functional and vectorized; supports procedural and some object-oriented programming. | Multi-paradigm: supports procedural, object-oriented, functional, concurrent, and reactive programming. |
| Typing | Dynamically typed; weak typing with implicit type conversions. | Gradually typed; supports both dynamic and static typing with strong type checking. |
| Performance | Interpreted; can be slow for loops and large computations unless optimized with C/C++ extensions. | Interpreted; generally slower than many mainstream languages, but performance is improving. |
| Libraries and frameworks | Extensive ecosystem for statistics, data analysis, and visualization (CRAN, Bioconductor). | Smaller ecosystem; general-purpose libraries available but lacks specialized statistical/data science libraries. |
| Community and support | Large, active community; strong support in academia and industry; abundant resources and forums. | Smaller, growing community; active development but fewer resources and less mainstream adoption. |
| Learning curve | Moderate for statistical users; can be steep for general programming due to unique syntax and quirks. | Steep due to rich feature set and flexibility; easier for those familiar with Perl or modern programming concepts. |
Common questions
Frequently Asked Questions
How do I convert R to Raku?
Paste your R code into the input box, confirm the languages are set to R and Raku, and click Convert. CodeConvert AI analyzes your R code and generates equivalent Raku code in seconds, preserving the original logic and structure.
What are the main differences between R and Raku?
R and Raku differ in syntax, type system, standard libraries, and common idioms, so copying code line for line usually will not compile. The converter maps each R construct to its closest Raku equivalent. See the comparison table below for the key differences between R and Raku.
Is the converted Raku code accurate?
The AI produces high-quality Raku code that preserves the behavior of your original R code and follows Raku conventions. It handles common patterns, data structures, and idioms for both R and Raku. For large or performance-critical code, review and test the Raku output before using it in production.
Can I convert an entire R project to Raku?
You can convert R files one at a time by pasting each file's code. For a full migration, convert each file and then review how classes, dependencies, and project structure map from R to Raku. Signing in for free raises the input limit to 25,000 characters per conversion for larger files.
Can I convert Raku back to R?
Yes. CodeConvert AI converts in both directions, so you can convert Raku to R just as easily using our Raku to R converter. Try the Raku to R Converter
Is the R to Raku converter free, and do I need to install anything?
Yes, it is free and runs in your browser with nothing to install and no IDE extension required. You can convert R to Raku without an account for up to 5 conversions per day. Sign in for free for higher limits.
What are the benefits of signing in?
Signing in unlocks CodeConvert AI's Pro converter with more powerful AI models, a built-in chat assistant, code execution, saved conversion history, and personal notes. Every free account includes 5 credits and supports up to 25,000 characters of input per conversion, with no credit card required.
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