Three simple steps
How to use this tool?
This free online converter translates R source code into Gleam 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 Gleam.
- Step 3
Review the result
Review, copy, or download the resulting Gleam code from the output editor.
Language comparison
Key differences between R and Gleam
| Characteristic | R | Gleam |
|---|---|---|
| Syntax | R uses a syntax similar to other statistical languages, with a focus on data manipulation and analysis; it is vectorized and often uses functions like apply, lapply, and data.frame. | Gleam has a syntax inspired by ML-family languages (like OCaml), with strong type annotations, pattern matching, and a focus on functional purity. |
| Paradigm | Primarily procedural and functional, with some object-oriented features (S3, S4, R6). | Purely functional, emphasizing immutability and stateless programming. |
| Typing | Dynamically typed; types are checked at runtime. | Statically and strongly typed; types are checked at compile time. |
| Performance | Interpreted and generally slower, especially for loops and non-vectorized code; optimized for statistical operations. | Compiled to Erlang BEAM bytecode or JavaScript; offers better performance for concurrent and scalable applications. |
| Libraries and frameworks | Extensive libraries for statistics, data analysis, and visualization (CRAN, Bioconductor). | Smaller ecosystem; can use Erlang and Elixir libraries, but fewer native libraries and frameworks. |
| Community and support | Large, mature community with strong academic and industry support. | Small but growing community; less mature, with more limited support resources. |
| Learning curve | Moderate; easier for those with a statistics or data science background. | Steeper, especially for those new to functional programming or static typing. |
Common questions
Frequently Asked Questions
How do I convert R to Gleam?
Paste your R code into the input box, confirm the languages are set to R and Gleam, and click Convert. CodeConvert AI analyzes your R code and generates equivalent Gleam code in seconds, preserving the original logic and structure.
What are the main differences between R and Gleam?
R and Gleam 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 Gleam equivalent. See the comparison table below for the key differences between R and Gleam.
Is the converted Gleam code accurate?
The AI produces high-quality Gleam code that preserves the behavior of your original R code and follows Gleam conventions. It handles common patterns, data structures, and idioms for both R and Gleam. For large or performance-critical code, review and test the Gleam output before using it in production.
Can I convert an entire R project to Gleam?
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 Gleam. Signing in for free raises the input limit to 25,000 characters per conversion for larger files.
Can I convert Gleam back to R?
Yes. CodeConvert AI converts in both directions, so you can convert Gleam to R just as easily using our Gleam to R converter. Try the Gleam to R Converter
Is the R to Gleam 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 Gleam 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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