CodeConvert AI - Convert code with a click of a button

How to use this tool?

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

Type or paste your Haskell 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 Haskell 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.

Haskell

Julia

Example 2 - Even or Odd

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

Haskell

Julia

Key differences between Haskell and Julia

Characteristic	Haskell	Julia
Syntax	Haskell has a unique syntax that is based on mathematical notation and is known for its strong type inference.	Julia has a syntax that is similar to other high-level programming languages like Python and MATLAB, making it relatively easy to learn and read.
Paradigm	Haskell is a purely functional programming language, which means that it emphasizes immutability and avoids side effects.	Julia is a multi-paradigm programming language that supports both functional and imperative programming styles.
Typing	Haskell has a strong static type system that enforces type safety and allows for powerful type inference.	Julia has a dynamic type system that allows for flexible and expressive programming, but it may lead to potential runtime errors.
Performance	Haskell is known for its high performance due to its lazy evaluation and efficient runtime system.	Julia is designed for high-performance numerical computing and can often match the performance of statically-typed languages like C and Fortran.
Libraries and frameworks	Haskell has a growing ecosystem of libraries and frameworks, but it may not have as many options as more popular languages like Python or JavaScript.	Julia has a rich ecosystem of libraries and frameworks for scientific computing and data analysis, with seamless integration with existing C and Fortran code.
Community and support	Haskell has a passionate and active community, with various online resources and forums for support.	Julia has a growing community of users and developers, with active support channels and a dedicated package manager for easy library installation.
Learning curve	Haskell has a steep learning curve due to its unique syntax and strong emphasis on functional programming concepts.	Julia has a relatively gentle learning curve, especially for users familiar with other high-level programming languages like Python or MATLAB.

How to use this tool?

Examples

Key differences between Haskell and Julia

Try our ready to use converters using the links below