Online Julia to Gleam 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 Julia to Gleam in a click of a button. To use this converter, take the following steps -
- Type or paste your Julia code in the input box.
- Click the convert button.
- The resulting Gleam code from the conversion will be displayed in the output box.
Key differences between Julia and Gleam
| Characteristic | Julia | Gleam |
|---|---|---|
| Syntax | Mathematical, similar to MATLAB and Python, concise and expressive for scientific computing. | Inspired by ML-family languages, statically typed, clean and minimal, indentation-insensitive. |
| Paradigm | Multi-paradigm: primarily imperative, functional, and object-oriented; strong focus on scientific and numerical computing. | Functional programming, immutable data, strong emphasis on pure functions and pattern matching. |
| Typing | Dynamically typed with optional type annotations; type inference for performance. | Statically and strongly typed with type inference; no runtime type errors. |
| Performance | High performance, close to C/Fortran for numerical tasks due to JIT compilation. | Compiles to Erlang BEAM or JavaScript; performance suitable for concurrent, fault-tolerant systems, not optimized for numerical computing. |
| Libraries and frameworks | Rich ecosystem for scientific computing, data science, and machine learning; growing general-purpose libraries. | Smaller ecosystem; can use Erlang/Elixir libraries for BEAM; fewer libraries for general-purpose or scientific tasks. |
| Community and support | Active and growing community, especially in academia and scientific research; good documentation and forums. | Small but enthusiastic community; growing interest in functional programming and BEAM ecosystem. |
| Learning curve | Gentle for users familiar with MATLAB, Python, or R; some complexity in advanced features. | Steeper for those new to functional programming; simple syntax but requires understanding of immutability and type systems. |
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