The only true way to know is to test them all on your rig using your processing code. Not sure about performance of freemat but I don't think it is as developed as Octave. Spyder is an ide that uses python and scipy, scilab is a mash of octave and maxima and a few others. If you want performance and you wan't to use free software best to look at scipy. However, you can get all modern versions of Matlab running on Linux (if you have a licence) and they are included on the install disk by default now, and performance of Linux version of Matlab is as good and often better on Linux when compared to Windows. Octave will not run (natively) some of the inbuilt GUIs like inputdlg etc, if you install Qtoctave (an IDE for Octave, sudo apt-get install qtoctave) you can use xmlwidget and a wrapper to get that functionality (I can post code if you are interested).Īs far as performance is concerned, Octave is not as fast (google for benchmarks). In fact, apart from some of the expensive Matlab toolboxes, Octave should run 98% (a number I just made up) of your code. Of all the ones you have listed Octave is the most syntax compatible. 10.04_lts 12.04_lts (the _lts is required in 'y'), etc.) 'z' refers to the architecture of your OS. Where 'x' refers to the bits of your OS 'y' refers to the version of Ubuntu the sage is designed for (e.g. Sudo ln -s /home/username/sage-linux-xbit-ubuntu_y-z-Linux/sage /usr/local/bin/sage Sudo mv sage-linux-xbit-ubuntu_ /home/username After this copy and paste the following commands into terminal ( Ctrl+ Alt+ T): cd ~/Downloads SageMath may be downloaded by going to the website and selecting a suitable mirror, based on where you are and then installing the relevant. I would also recommend SageMath as it includes GNU Octave, (if its already installed on your system) Scilab, (if you already have it installed) NumPy, Scipy, Matplotlib, maxima, Fortran among many others. It requires you to learn some of the Python programming language, that is, if you plan to do well at it. The problem with it is that it has only limited compatibility with MATLAB, syntax wise. I have used Spyder, but only briefly I'm afraid. The plus side, however, is that its syntax is highly compatible with MATLAB's. Conversely, the callxarray embed(xcol,mask)puts the elements of the column vector back into the appropriate places in the array.The following code illustrates these ideas. Third as a result of my second piece of evidence its functions are somewhat lagging. The function callxcol xarray(mask(:))extractsthe relevant pixel elements within the mask' into a column vector. Second, it isn't frequently updated, the latest version in the software centre, was last updated in 2008. My evidence for this is three part: firstly, in the software centre it receive the lowest star rating of the four software in question. Freemat is described as FreeMat is an environment for rapid engineering and scientific processing. a user-defined function is called in the same manner as built-in functions. It has some differences in terms of syntax but nothing you can't get your head around if you search the documentation that comes with it.įreeMat is the worst, in my opinion at least, of software that's syntax is heavily based on MATLAB. Lab for freemat tma1301 lab introduction to freemat this tutorial introduces. Scilab is an adequate replacement for MATLAB too. QtOctave is a frontend (GUI) for the GNU Octave programming language. I don't know if you're aware of QtOctave. The only differences, I'm aware of at least, aside from the odd toolbox, which you can attempt to replace by the packages here is that GNU Octave can define functions from the command line. Its syntax has an extreme compatibility with that of MATLAB. FreeMat and Spyder I do not have too much experience with, but I have some. 1 - A Basic Exampleĭo the following 4 steps: 1) foo.Well you're in for a treat I have used all the programming languages/software you mentioned. FreeMAT Memo FreeMAT Memo Calling C(C++) Functions From FreeMAT(v4.0)įor faster computations using FreeMAT.
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