How to use this tool?

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

  1. Type or paste your Julia code in the input box.
  2. Click the convert button.
  3. The resulting Fortran code from the conversion will be displayed in the output box.

Key differences between Julia and Fortran

CharacteristicJuliaFortran
SyntaxJulia has a modern syntax that is similar to MATLAB and Python, making it easy to learn and use.Fortran has a more traditional syntax that can be more difficult to learn and use compared to modern languages like Julia.
ParadigmJulia is a multi-paradigm language that supports functional, imperative, and object-oriented programming.Fortran is primarily an imperative language with some support for object-oriented programming.
TypingJulia has a dynamic type system that allows for flexible and expressive code.Fortran has a static type system that can be more restrictive but can also lead to faster code execution.
PerformanceJulia is designed for high-performance computing and can often match or exceed the performance of Fortran.Fortran is known for its high-performance capabilities and is often used in scientific and engineering applications.
Libraries and frameworksJulia has a growing ecosystem of libraries and frameworks for scientific computing, machine learning, and data analysis.Fortran has a long history of use in scientific and engineering applications and has a large collection of libraries and frameworks available.
Community and supportJulia has a growing community of users and developers, with active development and support from the Julia Computing organization.Fortran has a long history and a large community of users and developers, with support from organizations like the Fortran Standards Technical Committee.
Learning curveJulia has a relatively low learning curve compared to other high-performance languages like C++ and Fortran.Fortran has a steeper learning curve compared to modern languages like Julia, but can be easier to learn for those with a background in scientific or engineering applications.