CodeConvert AI - Convert code with a click of a button

How to use this tool?

This free online converter lets you convert code from R to Rust 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 Rust code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from R to Rust 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.

Rust

Example 2 - Even or Odd

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

Rust

Key differences between R and Rust

Characteristic	R	Rust
Syntax	R has a syntax that is similar to the S programming language, with a focus on data analysis and statistical computing.	Rust has a syntax that is similar to C++, with a focus on systems programming and memory safety.
Paradigm	R is primarily a functional programming language, but also supports object-oriented and procedural programming paradigms.	Rust is a multi-paradigm language that supports functional, imperative, and object-oriented programming paradigms.
Typing	R is dynamically typed, meaning that variable types are determined at runtime.	Rust is statically typed, meaning that variable types are determined at compile time.
Performance	R is not known for its performance, particularly when dealing with large datasets.	Rust is known for its performance, particularly in systems programming and low-level tasks.
Libraries and frameworks	R has a large number of libraries and frameworks for data analysis and statistical computing, including ggplot2, dplyr, and caret.	Rust has a growing number of libraries and frameworks, particularly for systems programming and web development, including Rocket, Actix, and Diesel.
Community and support	R has a large and active community of data analysts and statisticians, with many resources available for learning and support.	Rust has a growing community of developers, with many resources available for learning and support, including the Rust Programming Language book and Rust subreddit.
Learning curve	R has a relatively steep learning curve, particularly for those without a background in statistics or data analysis.	Rust has a moderate learning curve, particularly for those with experience in C++ or other systems programming languages.

How to use this tool?

Examples

Key differences between R and Rust

Try our ready to use converters using the links below