Skip to main content

3D visualization library

Project description

K3D Jupyter

Downloads Anaconda-Server Badge Build Status Total Alerts Language Grade: JavaScript Language Grade: Python

Jupyter notebook extension for 3D visualization.

points_cloud

streamlines

volume_rendering

transfer_function_editor

YouTube:

Volume renderer

Volume renderer

Volume renderer

Volume renderer

Try it Now!

Watch: Interactive showcase gallery

Documentation: https://k3d-jupyter.org

Jupyter version: Binder

Installation

PyPI

To install from PyPI use pip:

$ pip install k3d

When using Jupyter Notebook, remember to install and enable the k3d extension:

$ jupyter nbextension install --py --user k3d
$ jupyter nbextension enable --py --user k3d

When upgrading from an earlier version, use the following commands:

$ pip install -U k3d
$ jupyter nbextension install --py --user k3d
$ jupyter nbextension enable --py --user k3d

See below for instructions about JupyterLab installation.

Conda/Anaconda

To install from conda-forge use:

$ conda install -c conda-forge k3d

Installing directly from GitHub

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.

Source

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

JupyterLab

Then, if required, JupyterLab installation:

Note: do not run this command inside K3D-jupyter directory.

$ jupyter labextension install @jupyter-widgets/jupyterlab-manager
$ jupyter labextension install k3d

Please notice that support for jupyterLab is still experimental.

Developer's How To

Please make sure to take a look at the HOW-TO.md document.

Code of Conduct

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

Acknowledgments

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

k3d-2.14.1.tar.gz (9.6 MB view details)

Uploaded Source

Built Distribution

k3d-2.14.1-py2.py3-none-any.whl (15.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file k3d-2.14.1.tar.gz.

File metadata

  • Download URL: k3d-2.14.1.tar.gz
  • Upload date:
  • Size: 9.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.4.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for k3d-2.14.1.tar.gz
Algorithm Hash digest
SHA256 5452d9110e1b43b30580804064a32593dde111b8f94c69d9332ed5a515ef1129
MD5 19cdfee6fb7c78f54aa5266051c212bc
BLAKE2b-256 f7eaf1a1f1381975fe772b8236606a4c317dda5c269ece785546c922a919d2f7

See more details on using hashes here.

File details

Details for the file k3d-2.14.1-py2.py3-none-any.whl.

File metadata

  • Download URL: k3d-2.14.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 15.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.4.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for k3d-2.14.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5850b4ae5fa7a66fea2272319dd3a0ad33488c2aa3dbe5066974e0ab0d00feee
MD5 5f41936c0b7b167bee60e1964bf80772
BLAKE2b-256 b951319b8eff6df10187f940a9f00f7b38fad7bf116c139ebe58a72fb8464c02

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page