How to use this tool?

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

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

Examples

The following are examples of code conversion from R to Julia using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.

Example 1 - Is String Palindrome

Program that checks if a string is a palindrome or not.

R

right arrow

Julia

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

R

right arrow

Julia

Key differences between R and Julia

CharacteristicRJulia
SyntaxR has a syntax that is similar to the S programming language, with a focus on data analysis and statistical computing.Julia has a syntax that is similar to MATLAB and Python, with a focus on scientific computing and numerical analysis.
ParadigmR is primarily a functional programming language, but also supports object-oriented programming.Julia is a multi-paradigm language that supports functional, object-oriented, and procedural programming.
TypingR is dynamically typed, meaning that variable types are determined at runtime.Julia is dynamically typed, but also allows for optional static typing for performance optimization.
PerformanceR can be slow for large datasets and complex computations, but has many optimized libraries for specific tasks.Julia is designed for high performance and can be faster than R for large datasets and complex computations.
Libraries and frameworksR has a large number of libraries and frameworks for data analysis, statistics, and machine learning.Julia has a growing number of libraries and frameworks for scientific computing, machine learning, and data analysis.
Community and supportR has a large and active community with many resources and support forums available.Julia has a smaller but growing community with active development and support forums available.
Learning curveR can have a steep learning curve for beginners due to its syntax and focus on statistical computing.Julia has a relatively low learning curve for beginners due to its familiar syntax and focus on scientific computing.