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Introduction dataLabs Jupyter as a Service offers lecturers and students a well integrated environment for data science, machine learning and programming classes. Each class gets its own fully customized JupyterHub with guarantied hardware resources necessary to solve the given exercises.


  • Tuwel integration
  • Exercise distribution and grading with our Grader Service
  • Individual software stack for each class
  • Virtual Desktop for GUI applications
  • Theia IDE
  • Powerful hardware platform
  • GPU Support (starting winter term 20222023)

Hands on video


Get a JupyterHub for your lecture

Request a JupyterHub

Lectures with dataLab Jupyter Notebook Services

SS 2023

WS 2022

SS 2022

WS 2021


SS 2021

WS 2020

SS 2020

WS 2019