How to use this tool?
This free online converter lets you convert code from Julia to JavaScript 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 JavaScript code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from Julia to JavaScript 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.
Julia
JavaScript
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Julia
JavaScript
Key differences between Julia and JavaScript
Characteristic | Julia | JavaScript |
---|---|---|
Syntax | Julia has a syntax similar to MATLAB and Python, with a focus on mathematical notation. | JavaScript has a C-style syntax with curly braces and semicolons. |
Paradigm | Julia is a multi-paradigm language that supports functional, imperative, and object-oriented programming. | JavaScript is a multi-paradigm language that supports functional, imperative, and object-oriented programming. |
Typing | Julia is dynamically typed, but supports optional type annotations for performance optimization. | JavaScript is dynamically typed. |
Performance | Julia is designed for high performance computing and has a JIT compiler that can generate optimized machine code. | JavaScript is not designed for high performance computing, but can be optimized using tools like WebAssembly. |
Libraries and frameworks | Julia has a growing ecosystem of scientific computing libraries and frameworks, but has fewer options for web development. | JavaScript has a vast ecosystem of libraries and frameworks for web development, as well as other areas like game development and machine learning. |
Community and support | Julia has a smaller community than JavaScript, but is growing rapidly and has strong support from academia and industry. | JavaScript has a large and active community with extensive documentation and support resources. |
Learning curve | Julia has a moderate learning curve, with a focus on mathematical notation and performance optimization. | JavaScript has a relatively low learning curve, but can become more complex when working with advanced concepts like asynchronous programming. |