How to use this tool?

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

  1. Type or paste your OCaml 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 OCaml 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.

OCaml

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Julia

Example 2 - Even or Odd

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

OCaml

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Julia

Key differences between OCaml and Julia

CharacteristicOCamlJulia
SyntaxOCaml has a statically-typed, functional programming syntax with support for imperative and object-oriented programming.Julia has a dynamic, high-level programming syntax with support for functional and object-oriented programming.
ParadigmOCaml supports functional programming, imperative programming, and object-oriented programming.Julia supports functional programming, imperative programming, and multiple dispatch.
TypingOCaml has static typing with type inference.Julia has dynamic typing with optional type annotations.
PerformanceOCaml is known for its efficient performance and low memory usage.Julia is designed for high-performance numerical computing.
Libraries and frameworksOCaml has a rich ecosystem of libraries and frameworks, particularly for functional programming and theorem proving.Julia has a growing ecosystem of libraries and frameworks, particularly for scientific computing and data analysis.
Community and supportOCaml has an active community and good support, particularly for academic and research purposes.Julia has a growing community and good support, particularly for scientific computing and data analysis.
Learning curveOCaml has a moderate learning curve, especially for programmers familiar with functional programming concepts.Julia has a relatively low learning curve, especially for programmers familiar with dynamic languages.