Container mode for Jupyterhub#
We’re excited to announce that container mode is now enabled in our advanced JupyterHub spawner.
What is container mode?#
Container mode allows users to choose from a list of pre-defined container images when starting a Jupyter session. Each image is tailored for specific workflows (e.g. data science, coding).
Currently, the following pre-built images with different software stack are available:
jupyter-code-rstudioCode-Server (VS Code in the browser)
RStudio – R development environment
Xpra - Persistent remote applications for X11
Tensorboard - TensorFlow’s visualization toolkit
jupyter-processingminimal image with state-of-the-art python packages for data processing
For now, users cannot bring their own container images — only the curated images we provide are allowed to ensure security and stability.
What’s next?#
We are actively updating the existing container images with more content and software to better meet user needs. Additionally, we plan to create new, more specific images tailored to specialized workflows.
Your feedback is appreciated. If you’d like to arrange a customized environment for your tutorials, reach out to us at support@dkrz.de.