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SageMath is available under a GPL license, and its source code can be found on the project website. It has many features including a command-line interface, browser-based notebooks, tools for embedding formulas in other documents, and of course, many mathematical libraries. It's built on top of a variety of well-known Python-based scientific computing libraries, and its own language is syntactically similar to Python.
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SageMath is another open source mathematics software system that might be a good option for those seeking a MATLAB alternative. Scilab is distributed as open source under the GPL-compatible CeCILL license, and its source code is available on the project website.
Scilab is perhaps the best known alternative outside of Octave, and (like Octave) it is very similar to MATLAB in its implementation, although exact compatibility is not a goal of the project's developers. Scilab is another open source option for numerical computing that runs across all the major platforms: Windows, Mac, and Linux included.
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NumPy is licensed under the BSD license, and packages are available for Linux, Windows, and Mac OS X. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack, an ecosystem of Python-based math, science, and engineering software. It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. NumPy is the main package for scientific computing with Python (as its name suggests).
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Octave is licensed under the GPL, and its source code can be found on the GNU download site. Octave's Wikipedia page lists several options. Octave has many different choices available for a front-end interaction outside of the default that now ships with version 4 some resemble MATLAB's interface more than others. If you're looking for a project that is as close to the actual MATLAB language as possible, Octave may be a good fit for you it strives for exact compatibility, so many of your projects developed for MATLAB may run in Octave with no modification necessary. In active development for almost three decades, Octave runs on Linux, Windows, and Mac-and is packaged for most major distributions. GNU Octave may be the best-known alternative to MATLAB. Julia is licensed under the MIT license, and can be downloaded from. Julia has an active community around its development and its use, so it's also been tailored for domain-specific purposes, including image processing (JuliaImages), biology (BioJulia), quantum physics (QuantumBFS), nonlinear dynamics (JuliaDynamics), economics (QuantEcon), astronomy (JuliaAstro) and more. Users of Julia have many reasons for loving its syntax and capabilities, but some of the popular examples include its broadcasting feature, which lets you apply a function to one or more arrays without a writing a complex loop, its simple array functions that let you rotate and reshape arrays, matrix transforms, autodiff, native Unicode support, integrated unit testing, easy paralellisation, and all-round simpler syntax with no loss of functionality (and improved code efficiency.) It's designed to feel like a scripting language rather than a C-style programming-language and even has an interactive mode (REPL), and can be embedded into other languages through its embedding API. Julia is a dynamically typed programming language featuring Lisp-style macros, built-in primitives for parallel computing, and functions designed for matrix manipulation, data visualization, and much more. Depending on your exact objective, you may find one or another will better fit your specific needs.
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It is also prohibitively expensive for many people outside of an academic setting, where license fees for a single copy can reach into the thousands of dollars.įortunately, there are many great open source alternatives. Without access to its source code, you have limited understanding of how it works and how you can modify it. However, it does have a near ubiquity in many academic settings, bringing with it a large community of users familiar with the language, plugins, and capabilities in general.īut MATLAB is a proprietary tool. It can be a good tool for learning, although (in my experience) many of the things that students and researchers use MATLAB for are not particularly demanding calculations rather they could easily be conducted with any number of basic scripting tools, with or without statistical or math-oriented packages. Free online course: RHEL technical overview.
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