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 lines of code!
- Works out of the box with Jupyter, Quarto, Marimo, and Shiny
- Includes a built-in preview in Positron
- Supports adding custom CSS and JavaScript
- 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 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) + 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.
1 maintainer
Metadata
1 maintainer
Release files for ninejs 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ninejs-0.1.1.tar.gz | 9.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ninejs-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 MB
Release files / ninejs-0.1.1.tar.gz
| Download URL | ninejs-0.1.1.tar.gz |
|---|---|
| Size | 9.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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| Download URL | ninejs-0.1.1-py3-none-any.whl |
|---|---|
| Size | 186.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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