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JupyterHub - Release Notes

Version 9.8.0

Release date: October 14, 2020

Highlights:

Kernels are now centrally managed by RapidMiner Platform Admin. Custom kernel creation is still possible per user.
R kernels are now supported in RapidMiner Notebooks! The R environment is also managed centrally via Anaconda on the RapidMiner Platform Admin.
Installation and management of new environments is faster and more seamless
Support for git-lfs backed (large) files in projects which have this feature enabled
Easier navigation back to AI Hub landing page (top left icon)

Release date: Jun 3, 2020

Highlights:

Updated to JupyterLab 2.1.2 (new features include notebook cell tags)
Added the Git extension, and a custom clone widget allowing to easily select RapidMiner projects
Support for RapidMiner projects in the used python-rapidminer library
Updated notebook template with examples on how to use and interact with projects

Release date: Feb 25, 2020

This is the first release of JupyterHub as part of the RapidMiner Platform.

Highlights:

integrated user authentication using RapidMiner Server user database
JupyterLab as main notebook interface, optional Jupyter Notebooks UI also available
pre-configured Python kernel including popular packages used for data science projects
pre-installed python-rapidminer package for seamless interaction with RapidMiner Server repository
notebook template to explain how to use and collaborate
basic resource management (limiting CPU and memory for user containers)