Julia vs MATLAB: What are the differences?
Julia: A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library; MATLAB: A high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
Julia and MATLAB can be categorized as "Languages" tools.
"Lisp-like Macros" is the top reason why over 7 developers like Julia, while over 8 developers mention "Simulink" as the leading cause for choosing MATLAB.
Julia is an open source tool with 22.7K GitHub stars and 3.43K GitHub forks. Here's a link to Julia's open source repository on GitHub.
According to the StackShare community, MATLAB has a broader approval, being mentioned in 12 company stacks & 23 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.