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JavaScript
JavaScript

52.1K
38.7K
+ 1
7.4K
Julia
Julia

117
130
+ 1
56
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JavaScript vs Julia: What are the differences?

JavaScript: Lightweight, interpreted, object-oriented language with first-class functions. JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles; 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.

JavaScript and Julia can be categorized as "Languages" tools.

"Can be used on frontend/backend" is the primary reason why developers consider JavaScript over the competitors, whereas "Lisp-like Macros" was stated as the key factor in picking Julia.

Julia is an open source tool with 22.5K GitHub stars and 3.4K GitHub forks. Here's a link to Julia's open source repository on GitHub.

According to the StackShare community, JavaScript has a broader approval, being mentioned in 5034 company stacks & 6259 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

- No public GitHub repository available -

What is JavaScript?

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

What is Julia?

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.
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