jupyter-remote-desktop-proxy 1.2.1

Run a desktop environments on Jupyter

Jupyter Remote Desktop Proxy

Run XFCE (or other desktop environments) on Jupyter.

This is based on https://github.com/ryanlovett/nbnovnc.

When this extension is launched it will run a Linux desktop on the Jupyter single-user server, and proxy it to your browser using VNC via Jupyter.

If a vncserver executable is found in PATH it will be used, otherwise a bundled TightVNC server is run. You can use this to install vncserver with support for other features, for example the Dockerfile in this repository installs TurboVNC for improved OpenGL support.

Installation

1. Install this package itself, with pip from PyPI:

   pip install jupyter-remote-desktop-proxy
   

2. Install the websockify dependency. Unfortunately, the PyPI websockify package is broken, so you need to install it either from conda-forge or with apt

3. Install the packages needed to provide the actual Linux Desktop environment. You need to pick a desktop environment (there are many!) - here is the packages you would need for using the light-weight XFCE4 desktop environment:

   dbus-x11
   libgl1-mesa-glx
   xfce4
   xfce4-panel
   xfce4-session
   xfce4-settings
   xorg
   xubuntu-icon-theme
   

   The recommended way to install these is from your Linux system package manager of choice (such as apt).

Docker

To spin up such a notebook first build the container:

$ docker build -t $(whoami)/$(basename ${PWD}) .

Now you can ran the image:

$ docker run --rm --security-opt seccomp=unconfined -p 8888:8888 $(whoami)/$(basename ${PWD})
Executing the command: jupyter notebook
[I 12:43:59.148 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
[I 12:44:00.221 NotebookApp] JupyterLab extension loaded from /opt/conda/lib/python3.7/site-packages/jupyterlab
[I 12:44:00.221 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[I 12:44:00.224 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 12:44:00.225 NotebookApp] The Jupyter Notebook is running at:
[I 12:44:00.225 NotebookApp] http://924904e0a646:8888/?token=40475e553b7671b9e93533b97afe584fa2030448505a7d83
[I 12:44:00.225 NotebookApp]  or http://127.0.0.1:8888/?token=40475e553b7671b9e93533b97afe584fa2030448505a7d83
[I 12:44:00.225 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 12:44:00.229 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///home/jovyan/.local/share/jupyter/runtime/nbserver-8-open.html
    Or copy and paste one of these URLs:
        http://924904e0a646:8888/?token=40475e553b7671b9e93533b97afe584fa2030448505a7d83
     or http://127.0.0.1:8888/?token=40475e553b7671b9e93533b97afe584fa2030448505a7d83
*snip*

Now head to the URL shown and you will be greated with a XFCE desktop.

Note the --security-opt seccomp=unconfined parameter - this is necessary to start daemons (such as dbus, pulseaudio, etc) necessary for linux desktop to work. This is the option kubernetes runs with by default, so most kubernetes based JupyterHubs will not need any modifications for this to work.

Limitations

1. Desktop applications that require access to OpenGL are currently unsupported.