How to use this tool?
This free online converter lets you convert code from JavaScript to Julia in a click of a button. To use this converter, take the following steps -
- Type or paste your JavaScript code in the input box.
- Click the convert button.
- The resulting Julia code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from JavaScript 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.
JavaScript
Julia
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
JavaScript
Julia
Key differences between JavaScript and Julia
Characteristic | JavaScript | Julia |
---|---|---|
Syntax | JavaScript has a C-style syntax with curly braces, semicolons, and parentheses. It is a loosely typed language, which means that variables do not need to be declared with a specific data type. | Julia has a syntax that is similar to MATLAB or Python. It uses significant whitespace and does not require semicolons. Julia is a dynamically typed language, which means that variables do not need to be declared with a specific data type. |
Paradigm | JavaScript is a multi-paradigm language that supports object-oriented, imperative, and functional programming styles. | Julia is a multi-paradigm language that supports functional, imperative, and object-oriented programming styles. |
Typing | JavaScript is a loosely typed language, which means that variables do not need to be declared with a specific data type. | Julia is a dynamically typed language, which means that variables do not need to be declared with a specific data type. |
Performance | JavaScript is an interpreted language, which can lead to slower performance compared to compiled languages. However, modern JavaScript engines have made significant improvements in performance. | Julia is a compiled language that is designed for high performance. It uses just-in-time (JIT) compilation to optimize code at runtime. |
Libraries and frameworks | JavaScript has a vast ecosystem of libraries and frameworks, including React, Angular, Vue, Node.js, and many others. | Julia has a smaller ecosystem of libraries and frameworks compared to JavaScript, but it includes popular options like JuMP for optimization and Flux for machine learning. |
Community and support | JavaScript has a large and active community with many resources available for learning and development. | Julia has a smaller community compared to JavaScript, but it is growing rapidly and has a dedicated group of developers and users. |
Learning curve | JavaScript has a relatively low learning curve, especially for those with experience in other programming languages. However, the language can be challenging to master due to its many quirks and idiosyncrasies. | Julia has a steeper learning curve compared to JavaScript, especially for those without experience in scientific computing or numerical analysis. However, the language is designed to be easy to read and write, which can help with the learning process. |