CodeConvert AI - Convert code with a click of a button

How to use this tool?

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

Type or paste your Java 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 Java 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.

Java

Julia

Example 2 - Even or Odd

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

Java

Julia

Key differences between Java and Julia

Characteristic	Java	Julia
Syntax	Java has a C-style syntax with curly braces and semicolons.	Julia has a syntax that is similar to MATLAB or Python, with a focus on mathematical notation.
Paradigm	Java is an object-oriented programming language with support for functional programming.	Julia is a high-level, high-performance dynamic programming language designed for numerical and scientific computing, data science, and machine learning, with support for multiple dispatch and metaprogramming.
Typing	Java is a statically typed language with type inference.	Julia is a dynamically typed language with optional type annotations.
Performance	Java is known for its performance and is often used for enterprise-level applications.	Julia is designed for high-performance computing and is often used for scientific computing and data analysis.
Libraries and frameworks	Java has a vast ecosystem of libraries and frameworks, including Spring, Hibernate, and Apache Struts.	Julia has a growing ecosystem of libraries and frameworks, including JuMP for mathematical optimization and Flux for machine learning.
Community and support	Java has a large and active community with extensive documentation and support.	Julia has a growing community with active development and support, but documentation is still being developed.
Learning curve	Java has a moderate learning curve, with a focus on object-oriented programming principles.	Julia has a steep learning curve, with a focus on mathematical notation and advanced programming concepts.

How to use this tool?

Examples

Key differences between Java and Julia

Try our ready to use converters using the links below