k3d

library2.17.0pypypiunverified

K3D is a Jupyter notebook extension for 3D visualization of meshes, points, voxels, and other geometric data using WebGL. Current version is 2.17.0, with occasional releases (last stable in 2023).

data ai-ml

pip install k3d

package ↗homepage ↗

INSTALL

IMPORT

SIG · K3D

k3d

datapythonv2.17.0

Install

8.7s avg

Import

—

Disk

195MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.17.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 200.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 8.7s · import 0.000s · 198MB

195MB installed

● package 195MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

k3d

✓ import k3d

✗ import k3d

Creates a 3D scatter plot with random points in a Jupyter notebook.

import k3d import numpy as np # Create a plot object plot = k3d.plot() # Generate some points points = np.random.rand(100, 3).astype(np.float32) colors = np.random.randint(0, 255, (100, 3), dtype=np.uint8) # Add a point cloud point_cloud = k3d.points(positions=points, colors=colors, point_size=0.1) plot += point_cloud # Display the plot plot.display()

Debug

Known issues

gotchak3d requires Jupyter Notebook or JupyterLab with the lab extension enabled. In JupyterLab, run `jupyter labextension install k3d` if missing.

fix

Ensure you have the k3d JupyterLab extension installed: `jupyter labextension install k3d`. For classic notebook, the extension is included.

affects: all

gotchaThe `k3d.plot()` object is a singleton-like pattern; reusing the same plot object without creating a new one can lead to stale renderings.

fix

Always create a new plot object for each visualization: `plot = k3d.plot()` before adding objects.

affects: all

deprecatedThe `k3d.helix` and `k3d.text` functions were deprecated in 2.14 and removed in 2.17. Use alternative methods for helix and text.

fix

For helix, use `k3d.line` with parametric coordinates. For text, consider using matplotlib or an overlay.

affects: >=2.17.0

breakingAs of version 2.15, the `k3d.points` function changed its signature: `positions` expects a numpy array of dtype float32 explicitly.

fix

Cast positions to `np.float32` before passing: `positions=np.array(...).astype(np.float32)`.

affects: >=2.15.0

Upgrade

Version history

2.17.0latest on PyPI · released Jul 9, 2025

Audit

Dependencies

ipywidgetsrequiredRequired for Jupyter integration

traitletsrequiredRequired for widget state management

Agent activity

6 hits · last 30 days

node

Resources

packagehttps://pypi.org/project/k3d/ ↗

homepagehttps://k3d-jupyter.org ↗