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MATLAB vs SageMath: What are the differences?

Introduction

In this Markdown code, I will provide key differences between MATLAB and SageMath, highlighting their specific dissimilarities in no more than 6 paragraphs.

  1. Mathematical Capabilities: Matlab is primarily designed for numerical and matrix computations, featuring a extensive collection of built-in mathematical functions and toolboxes. On the other hand, SageMath has a wider scope, providing a more comprehensive range of mathematical functionalities, including symbolic mathematics, algebraic manipulations, calculus, graph theory, and number theory.

  2. Programming Language: MATLAB uses its proprietary programming language built around matrix manipulations and arrays. It has a simple syntax that is easy to learn and write, with a focus on algorithm development and data analysis. In contrast, SageMath, also known as Sage, employs Python as its primary programming language. This allows users to leverage the extensive features and library support of Python, enabling them to combine mathematical computations with general-purpose programming.

  3. Open Source vs. Proprietary: SageMath is an open-source mathematical software system that allows users to access, modify, and distribute the source code. This provides flexibility for customization, collaboration, and community-driven development. MATLAB, however, is a proprietary software with licensing fees, restricting access to its source code, limiting customization options, and hindering collaborative development.

  4. User Interface and Development Environment: MATLAB offers an interactive and user-friendly environment with an integrated development environment (IDE) that includes a code editor, debugger, and visual tools for data analysis and visualization. SageMath, being more versatile, provides a web-based notebook interface similar to Jupyter notebooks, which allows users to combine code, text, and descriptive graphics in a single document.

  5. Community Support and Documentation: MATLAB has a long-established community of users, with extensive online forums, documentation, and tutorials, making it easy to find assistance and resources for learning and problem-solving. SageMath community, although smaller compared to MATLAB, also offers active support through forums and documentation, with an emphasis on collaborative documentation creation and user-contributed knowledge.

  6. Cost and Licensing: MATLAB is a commercial software that requires users to purchase licenses, with different pricing options based on the type of license and usage. SageMath, being open-source, is freely available for use, modification, and redistribution, offering a cost-effective alternative for individuals and organizations.

In Summary, MATLAB and SageMath differ in their mathematical capabilities, programming languages, openness, user interfaces, community support, and licensing costs. While MATLAB focuses on numerical computations, SageMath provides a broader range of mathematical functionalities. MATLAB uses a proprietary programming language, while SageMath employs Python. MATLAB is a commercial software with licensing fees, while SageMath is an open-source system.

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Pros of MATLAB
Pros of SageMath
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
  • 1
    Simple variabel control
  • 1
    Solve invertible matrix
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    Cons of MATLAB
    Cons of SageMath
    • 2
      Parameter-value pairs syntax to pass arguments clunky
    • 2
      Doesn't allow unpacking tuples/arguments lists with *
    • 2
      Does not support named function arguments
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      What is MATLAB?

      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.

      What is SageMath?

      It 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.

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      Jobs that mention MATLAB and SageMath as a desired skillset
      What companies use MATLAB?
      What companies use SageMath?
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      What tools integrate with MATLAB?
      What tools integrate with SageMath?

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      What are some alternatives to MATLAB and SageMath?
      R Language
      R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
      NumPy
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      Octave
      It is software featuring a high-level programming language, primarily intended for numerical computations. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      See all alternatives