LabPlot/ComputationalNotebooks

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.