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    Revision as of 19:11, 16 June 2022 by Dlaska (talk | contribs)

    LabPlot can be used as a frontend to different open-source computer algebra systems (CAS) like Maxima, Octave, R, Scilab, and Sage or programming languages providing similar capabilities like Python and Julia. LabPlot recognizes different CAS variables holding array-like data and allows selecting them as a source for curves. So, instead of providing columns of a spreadsheet as the source for x- and y-data, the user provides the names of the corresponding CAS-variables. Currently supported CAS data containers are

    • Maxima lists
    • Python lists, tuples and NumPy arrays
    • Julia vectors and tuples

    With this, powerful calculations carried out inside of different CAS environments can be combined with the user-friendly visualization and editing capabilities of LabPlot.

    See the video on how to use Computational Notebooks in LabPlot.