Ruby for Data Science — Is It Possible?
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An exploration of using Ruby for data science and 3D visualization via the ruby-libgd gem. The author builds a 2D function plotter supporting explicit and implicit curves, then implements a full 3D surface renderer in pure Ruby — including rotation matrices, perspective projection, painter's algorithm for depth sorting, and a viridis colormap. The workflow runs inside IRuby/Jupyter for interactive iteration. The honest verdict: Ruby lacks NumPy-equivalent statistical computation and mature dataframe support, but has a working image engine and a viable Jupyter workflow for exploratory visualization today.
Table of contents
The question nobody asksStarting with 2D — the Plot classGoing 3D — the impossible partThe resultsWhat Jupyter addsThe honest verdictInstallShare this:RelatedSort: