Online R to Janet 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 R to Janet in a click of a button. To use this converter, take the following steps -
- Type or paste your R code in the input box.
- Click the convert button.
- The resulting Janet code from the conversion will be displayed in the output box.
Key differences between R and Janet
| Characteristic | R | Janet |
|---|---|---|
| Syntax | Specialized, vectorized, and designed for statistical computing; syntax can be idiosyncratic and less consistent. | Lisp-like, minimal, homoiconic, with parentheses-based syntax; concise and consistent. |
| Paradigm | Primarily functional and procedural, with some object-oriented features. | Multi-paradigm, with emphasis on functional and metaprogramming due to its Lisp heritage. |
| Typing | Dynamically typed. | Dynamically typed. |
| Performance | Interpreted; can be slow for loops and large computations unless optimized with C/C++ extensions. | Interpreted, but designed for small footprint and good performance; often faster than traditional scripting languages. |
| Libraries and frameworks | Extensive ecosystem for statistics, data analysis, and visualization (CRAN). | Smaller ecosystem; general-purpose libraries, but lacks specialized domains like R. |
| Community and support | Large, active community, especially in academia and data science; extensive documentation and forums. | Small but growing community; less documentation and fewer resources. |
| Learning curve | Moderate; easier for those with statistics background, but syntax can be confusing for newcomers. | Steep for those unfamiliar with Lisp syntax; easier for those with Lisp experience. |
