Scilab vs octave software#

If you don't care about compatibility with the MATLAB language but just with its functionality, then Python with the various SciPy components (including NumPy for matrices and Matplotlib for MATLAB-like plotting) might also be worth considering.

Scilab vs octave software#

Octave has a decent number of community-developed packages on Octave-Forge, however. GNU Octave is a free software (GPL) MATLAB-like program with numerical routines for integrating, solving systems of equations, special functions, and solving (numerically) differential equations. For example Scilab has Xcos (an alternative to MathWorks Simulink), while Octave did not have any Simulink equivalent last time I checked. It might boil down to their equivalent of toolboxes. You can define new obejct types and overload functions operating on the. However, Scilab do have some strong points, namely: 1) Object orientation in scripts. way they should and there is no active community as in the case of. Scilab appears to be doing better in that regard. I am not very fond of Scilab as a project. There are some GUIs for Octave (I've used qtoctave in the past), but they are clearly inferior to the MATLAB GUI. None of this matters if you're developing specifically for Scilab/Octave. In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture and three. Octave is able to run many MATLAB programs that don't use specialist toolboxes with only minor modifications, while Scilab is MATLAB-inspired rather than a MATLAB clone. My impression is that both offer a solid core. I have some experience with Octave and none with Scilab, so I'm not the best person to answer this, but I'll give you my $0.02 anyway.