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Julia

Julia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.

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Julia Alternatives

The best Julia alternatives based on verified products, votes, reviews and other factors.
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  1. Python

    Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

  2. MATLAB

    A high-level language and interactive environment for numerical computation, visualization, and programming

  3. GNU Octave

    GNU Octave is a programming language for scientific computing.

  4. NIM

    GB64.COM is the home of The Gamebase Collection of C64 games.

  5. Haskell

    An advanced purely-functional programming language

  6. WM

    Wolfram Mathematica

    Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

  7. Scilab

    Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

  8. Rust

    A safe, concurrent, practical language

  9. Clojure

    Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.

  10. Maxima

    Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.

  11. Elixir

    Dynamic, functional language designed for building scalable and maintainable applications

  12. Ruby

    A dynamic, interpreted, open source programming language with a focus on simplicity and productivity

  13. Go.CD

    Open source continuous delivery tool allows for advanced workflow modeling and dependencies management.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Programming Language, Technical Computing, OOP
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