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 -

  1. Type or paste your Haskell code in the input box.
  2. Click the convert button.
  3. The resulting Julia code from the conversion will be displayed in the output box.

Key differences between Haskell and Julia

CharacteristicHaskellJulia
SyntaxHaskell 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.
ParadigmHaskell 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.
TypingHaskell 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.
PerformanceHaskell 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 frameworksHaskell 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 supportHaskell 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 curveHaskell 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.