ridgeplot

Run `npx skills add tpvasconcelos/ridgeplot --all -g -y` in your terminal to install all skills in this repository globally.

It is a Python library for creating beautiful, interactive ridgeline plots (also called joy plots) on top of Plotly, ideal for comparing distributions across categories.

Pass your sample arrays to the ridgeplot() function and call fig.show(). It handles density estimation, coloring, and spacing with sensible defaults you can fully customize.

Yes. The included guides and skills teach your agent the project's test commands, typing rules, and workflows such as adding or dropping Python version support.

Yes. It returns a standard Plotly Figure object, so you can restyle or extend it with any regular Plotly layout methods.