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The Jupyter-Cloud can be reached here and is provided by GWDG.

Short Facts

Service URL

Target group

Users having a full GWDG account (which can include people working in partner projects)

Login process

Login via Shibboleth (AcademicID -




Jupyter-Cloud offers:

  • Version(s): JupyterLab 3.5 (via JupyterHub)

  • Temporarly install new packages by the user

  • Persistent storage

Programming Languages:

  • Python

  • Julia

  • R

  • Bash

  • git

  • plotly

  • matplotlib


Jupyter-Cloud provides Jupyter servers within the following resource limits:

Resource Default Maximum
Number of Jupyter servers per user 1 1
Number of CPUs 1 4
CPU time 24 h 24 h
Amount of memory 15 GB 15 GB
Number of GPUs 0 0
Disk space 10 GB 10 GB
Persistent disk space 10 GB 10 GB


Some technical insights about Jupyter-Cloud:

  • Deployment: Based on Jupyter Datascience Notebook image, extended with user-requested data science tools