Online Gleam to R 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 Gleam to R in a click of a button. To use this converter, take the following steps -
- Type or paste your Gleam code in the input box.
- Click the convert button.
- The resulting R code from the conversion will be displayed in the output box.
Key differences between Gleam and R
| Characteristic | Gleam | R |
|---|---|---|
| Syntax | Has a syntax inspired by ML-family languages (like OCaml), concise and statically checked, designed for clarity and safety. | Has a unique, vectorized syntax tailored for statistical computing and data analysis, often considered idiosyncratic. |
| Paradigm | Functional programming, with strong emphasis on immutability and pure functions. | Multi-paradigm but primarily functional and procedural, with some object-oriented features. |
| Typing | Statically typed with strong, inferred types and no nulls. | Dynamically typed, with flexible and sometimes ambiguous type handling. |
| Performance | Compiles to efficient Erlang or JavaScript code, suitable for high-concurrency and backend systems. | Interpreted, generally slower, optimized for data analysis tasks rather than general-purpose performance. |
| Libraries and frameworks | Limited but growing ecosystem, can interoperate with Erlang and Elixir libraries. | Extensive libraries for statistics, data analysis, and visualization; CRAN repository is a major resource. |
| Community and support | Small but active and enthusiastic community, mostly early adopters and functional programming enthusiasts. | Large, mature, and well-established community, especially in academia and data science. |
| Learning curve | Moderate, especially for those new to functional programming or static typing. | Steep for those unfamiliar with its syntax and data structures, but well-documented for statistical tasks. |
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