K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK. K3D can be run as:

• Jupyter Notebook extension 🚀
• Jupyter Lab extension 🎉
• Google Colab extension 🧪 [still experimental]
• Standalone HTML/JS 📑

Documentation: https://k3d-jupyter.org

Click to watch at YouTube:

Watch: Interactive showcase gallery

Jupyter version:

To install from PyPI use pip:

$ pip install k3d

To install from conda-forge use:

$ conda install -c conda-forge k3d

First you need to install k3d:

!pip install k3d
!jupyter nbextension install --py --user k3d
!jupyter nbextension enable --py --user k3d

After that you need to activate custom widgets and switch k3d to text protocol:

import k3d
from google.colab import output

output.enable_custom_widget_manager()

k3d.switch_to_text_protocol()

To install directy from this repository (requires git and node.js + npm to build):

$ pip install git+https://github.com/K3D-tools/K3D-jupyter

This also makes possible installing the most up-to-date development version (same requirements):

$ pip install git+https://github.com/K3D-tools/K3D-jupyter@devel

To install any historical version, replace devel above with any tag or commit hash.

For a development installation (requires npm and node.js),

$ git clone https://github.com/K3D-tools/K3D-jupyter.git
$ cd K3D-jupyter
$ pip install -e .

Then, if required, JupyterLab installation:

$ jupyter labextension install ./js

K3D-jupyter follows the Python Software Foundation Code of Conduct in everything we do.

• Travis is ❤️
• OpenDreamKit is 🚀
• Three.js is 🥇

Research Infrastructure project This package was created as part of the Horizon 2020 European OpenDreamKit (grant agreement #676541).