# widgetti/ipyvolume

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Repository: https://github.com/widgetti/ipyvolume
Canonical: https://ross.abutalabs.com/products/ipyvolume
Language: TypeScript
License: MIT
License Family: permissive
Topics: ipython-widget, jupyter, jupyter-notebook, python, visualisation, volume-rendering, virtual-reality, plotting, dataviz, scientific-visualization, webgl, threejs, rendering-3d-volumes, quiver
Last push: 2023-11-29T14:26:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3542, "days_push": 1008, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1963, forks 231 (observed 2026-08-28T04:05:59.743082+00:00)

## What it is
A Python library for 3D plotting in Jupyter notebooks, built on IPython widgets and WebGL. It supports volume rendering, scatter and quiver plots, isosurfaces, animations, and VR stereo rendering.

## Use cases
- render 3d volume data in a jupyter notebook
- plot large 3d scatter plots in python
- create quiver plots of vector fields in jupyter
- visualize isosurfaces of volumetric data
- embed interactive 3d plots in standalone html
- animate 3d scatter plot data over time
- view scientific data in stereo for google cardboard

## When to choose
- you need interactive 3d visualization inside Jupyter notebooks
- you want volume rendering or glyph plots with WebGL performance
- you want integration with ipywidgets, bqplot, or bokeh selections

## When to avoid
- you need publication-quality static 3d figures (use matplotlib or mayavi)
- you need a general-purpose 3d scene editor or game engine
- you need actively developed features or latex labels, which are not yet supported

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, graphics
- domain: data-visualization, data-science
- platform: python, browser
- tags: jupyter, ipywidgets, webgl, volume-rendering, 3d-plotting, scatter-plot, quiver-plot, isosurface, threejs, virtual-reality, scientific-visualization, web-server

## Member repositories
- widgetti/ipyvolume (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.743082+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:05:34.083803+00:00, confidence not recorded.
  - readme: https://github.com/widgetti/ipyvolume (fetched 2026-08-28T04:05:59.743082+00:00, sha 19d9c24a07e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.
