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 -
- Type or paste your Julia code in the input box.
- Click the convert button.
- The resulting Fortran code from the conversion will be displayed in the output box.
Key differences between Julia and Fortran
Characteristic | Julia | Fortran |
---|---|---|
Syntax | Julia 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. |
Paradigm | Julia 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. |
Typing | Julia 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. |
Performance | Julia 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 frameworks | Julia 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 support | Julia 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 curve | Julia 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. |