ninejs 0.0.15

Bringing interactivity to plotnine

ninejs

Bringing ✨interactivity✨ to plotnine.

ninejs adds interactive behavior to plotnine charts with a minimal API. You can attach tooltips, hover grouping, and on click events directly from aes(), then export the result as a standalone HTML plot. All of this with just 2 or 3 lines of code!

• Works out of the box with Jupyter, Quarto, Marimo, and Shiny
• Includes a built-in preview in Positron
• Supports custom CSS and JS
• Copy-pastable self contained documentation for AI and agents

See examples.

Quick start

from plotnine import aes, geom_point, ggplot, theme_minimal
from plotnine.data import anscombe_quartet

from ninejs import css, interactive, save

gg = (
  ggplot(
      anscombe_quartet,
      aes(x="x", y="y", color="dataset", tooltip="dataset", hover_group="dataset")
  )
  + geom_point(size=7, alpha=0.5)
  + theme_minimal()
)

(
  interactive(gg)
  + css(from_dict={".tooltip": {"font-size": "2em"}})
  + save("plot.html")
)

Installation

pip install ninejs

Documentation

See the full documentation and examples here.

See the contributing guide for local setup, tests, and formatting.