# K3D-tools/K3D-jupyter

WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.

Repository: https://github.com/K3D-tools/K3D-jupyter
Canonical: https://ross.abutalabs.com/products/k3d-jupyter
Homepage: https://k3d-jupyter.org
Language: Python
License: MIT
License Family: permissive
Topics: jupyter, visualization, 3d, anywidget, isosurface, jupyter-widget, numpy, path-tracing, point-cloud, scientific-visualization, volume-rendering, voxel, webgl
Last push: 2026-09-02T22:58:28+00:00

## Health v2 (maintenance only)
Score: 100/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 99, longevity 100
- inputs: {"age_days": 3974, "days_push": 0, "days_rel": 4, "gap_med": 14, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1034, forks 124 (observed 2026-09-03T02:15:06.349165+00:00)

## What it is
K3D-jupyter is a Python library for creating interactive 3D plots backed by WebGL inside Jupyter Notebook, JupyterLab, and Google Colab. It offers a high-level matplotlib-like API for surfaces, isosurfaces, voxels, meshes, point clouds, and volume rendering, with VTK interoperability.

## Use cases
- plot 3d point clouds in jupyter
- interactive volume rendering in a notebook
- visualize vtk data in jupyterlab
- create 3d surface and isosurface plots in python
- export interactive 3d visualization as standalone html
- render voxel grids in a jupyter notebook

## When to choose
- you need interactive WebGL-backed 3D visualization inside Jupyter or Colab
- you want a simple high-level API like matplotlib for 3D plotting
- you need VTK interoperability or standalone HTML export

## When to avoid
- you need publication-quality static 3D figures rather than interactive widgets
- you are not working in a notebook or browser environment
- you need full-featured general-purpose 3D modeling or game rendering

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, graphics
- domain: data-visualization, data-science, web-development
- platform: python, browser
- tags: jupyter, webgl, 3d-plots, vtk, volume-rendering, point-clouds, notebook-widget, web-server

## Member repositories
- K3D-tools/K3D-jupyter (main) score 100

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:06.349165+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 2026-08-30T07:07:31.313224+00:00, confidence not recorded.
  - readme: https://github.com/K3D-tools/K3D-jupyter (fetched 2026-09-03T02:15:06.349165+00:00, sha a9b6b2a0fc04)
- Data as of 2026-08-30T08:39:29.467469+00:00.