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JupyterServerProxy for trame and ParaView Visualizer

License: BSD 3-Clause "New" or "Revised" License

Python 79.92% Shell 20.08%
jupyter jupyter-server-proxy jupyterlab paraview trame

jupyter-trame-proxy's Introduction

jupyter-trame-proxy

Integrates trame in your Jupyter environment using ParaView Visualizer.

Requirements

  • Python 3.9+
  • ParaView 5.10+
  • Jupyter Notebook 6.0+
  • JupyterLab 2.1+

This extension will start the pv_visualizer package. You must make sure it is on the PYTHONPATH! Adjust launch_trame.sh to ensure this.

Install

Create and Activate Environment

virtualenv -p python3 venv
source venv/bin/activate

Install jupyter-trame-proxy

pip install git+https://github.com/jwindgassen/jupyter-trame-proxy.git

Enable jupyter-trame-proxy Extensions

For Jupyter Classic, activate the jupyter-server-proxy extension:

jupyter serverextension enable --sys-prefix jupyter_server_proxy

For Jupyter Lab, install the @jupyterlab/server-proxy extension:

jupyter labextension install @jupyterlab/server-proxy
jupyter lab build

Starting

Click on the ParaView trame icon from the Jupyter Lab Launcher or the ParaView trame item from the new dropdown in Jupyter Classic.

Jupyter-Server-Proxy

Jupyter-Server-Proxy lets you run arbitrary external processes alongside your notebook and provide web access to them. After installing this proxy, you can start trame using the ParaView trame entry in the launcher. It will start the server (which might take a few seconds) and open the website in a new tab.

License

This software is provided under the BSD 3-Clause

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