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    Maple Alternatives for Linux

    There are many alternatives to Maple for Linux if you are looking for a replacement. The best Linux alternative is R (programming language), which is both free and Open Source. If that doesn't suit you, our users have ranked more than 50 alternatives to Maple and many of them are available for Linux so hopefully you can find a suitable replacement. Other interesting Linux alternatives to Maple are SageMath (Free, Open Source), Mathematica (Paid), Julia (Free, Open Source) and Maxima (Free, Open Source).

    This page was last updated Jan 20, 2022
    Maple
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    Maple is a general-purpose commercial computer algebra system. Users can enter mathematics in traditional mathematical...
    Learn more about Maple

    1. R is a free software environment for statistical computing and graphics.
      R (programming language) vs Maple opinions
      pros, cons and recent comments
      R does not perform symbolic computations
      Negative comment over 3 years ago

      2
    2. SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
      SageMath vs Maple opinions
      Almost everyone thinks SageMath is a great alternative to Maple.
      it is free. It combines the abilities of many open source systems. The user interface is fairly simple and easy to learn.
      Positive comment over 1 year ago

      0
      Excellent alternative to Maple and Mathematica for the serious user ; may alleviate Matlab needs (except for dedicated toolboxes, which may or may not have a Python/Sage equivalent). Users need to invest some time in learning Python and some basics of undergraduate mathematics. Not much shiny interface gadgets, but a trove of mathematical gems. Excellent tools for the production of reproducible research/actie documents. Definitely recommended if openness is important.
      Positive comment over 1 year ago

      -1


    3. Mathematica is a computational software program used widely in scientific, engineering, and mathematical fields and other areas of technical computing.
    4. 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.
      Julia vs Maple opinions
      pros, cons and recent comments
      oceanborn2 Opensource and will lots of math capabilities + jupyter notebooks ecosystem
      Positive comment about 2 years ago

      1
      • FreeOpen Source
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      Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors.
      Maxima vs Maple opinions
      pros, cons and recent comments
      Pitty the idea of this program is not as bad as it could be, but it's not even close a match for maple.
      Negative comment over 3 years ago

      1


      • FreeOpen Source
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      Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software, available for Windows XP/Vista/7, GNU/Linux and Mac OS X.
      • FreeOpen Source
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      wxMaxima is a document based interface for the computer algebra system Maxima. wxMaxima uses wxWidgets and runs natively on Windows, X11 and Mac OS X. wxMaxima provides menus and dialogs for many common maxima commands, autocompletion, inline plots and simple animations.
      • FreeOpen Source
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      Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated.
    5. The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.
    6. SymPy is a Python library for symbolic computation. The stated goals of the library are to become a full-featured computer algebra system and to keep a simple code base to promote extensibility and comprehensibility.
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