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What makes Matlab and Octave different?

Matlab and Octave are the two most popular statistical programming languages today. They offer researchers and data scientists a host of tools for statistical analysis to help them produce the most desirable results from their data. But it can be quite overwhelming to tell the difference between Matlab and Octave because, on the surface, these two applications look very much alike. In this blog, our Octave assignment help experts do a comprehensive comparison between the two to help clear your doubts. Let’s start with a brief overview of Matlab and Octave.


Matlab is a high-performance programming language and one of the most used tools in statistical and technical computation. It supports both object-oriented and procedural programming, hence it is also referred to as a multi-paradigm language. Matlab is used to perform a wide range of tasks including statistical computation, visualization, algorithm development, signal processing prototyping, simulation, and many more. To perform these tasks, the software offers an abundance of tools such as functions, input/output features, data structures, control flow statements, and many other essential object-oriented features. For more information about Matlab, its history, and applications, liaise with our Matlab assignment help experts.


Octave is yet another common programming language in the world of numerical computations. It is used to solve some of the most complex linear and non-linear statistical problems and provides an extensive library of tools for structured programming. The language has full support for different data structures and has impressive features like powerful built-in mathematical functions, complex numbers, and user-defined functions. If you are looking for a great alternative to Matlab, then this is it. To learn more about Octave and its features, connect with our Octave assignment help experts.

Comparison between Matlab and Octave

While Matlab and Octave are both great tools for programming and data analysis, there are notable differences between them that you should put into consideration when selecting the best software for your tasks. Our Matlab assignment help experts have listed some of these below:

  • Lacks support for assignment operators and auto-increment features
  • Has impressive support for assignment operators and auto-increment features
  • Uses huge RAM space
  • Uses less RAM space
  • Matlab is not free. It comes with various packages that one needs to pay for to obtain access
  • Octave is free
  • Has a comprehensive set of tools to carry out various tasks, which makes it easy to use
  • Depends on syntax and the user has to learn how to code to use it. This makes the language a little difficult to use
  • Lacks support for Boolean values
  • Supports Boolean values
  • Supports the command line used to execute files in a directory
  • Older versions of Octave do not support command line
  • Does not allow loading of empty files
  • Allows loading of empty files
  • You can only use ‘fprintf’ function to print a screen
  • You can use both ‘print’ and ‘fprintf’ functions to print a screen
  • Contains an interactive and user-friendly GUI
  • The older versions of Octave lack a user interface
If you are looking for effective statistical software on budget, then we recommend Octave but, if you fancy high functionality, ease of use, and effortless navigation, Matlab would be a better option. Matlab is widely used, which gives it a slight edge over Octave. If you would like to have the difference between Matlab and Octave explained further, collaborate with our Matlab assignment experts.

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