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Jupyter Hub

JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users - including students, researchers, and data scientists - can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators.

JupyterHub runs in the Industrial App Store, and makes it possible to serve a pre-configured data science environment to any user in the world. It is customizable and scalable, and is suitable for small and large teams, academic courses, and large-scale infrastructure.

Key features of JupyterHub in the Industrial App Store:

  • Customisable - JupyterHub can be used to serve a variety of environments. It supports dozens of kernels with the Jupyter server, and can be used to serve a variety of user interfaces. Available interfaces include the Jupyter Notebook, Jupyter Lab, RStudio, Python 3 and dotnet.
  • Flexible - The Hub authenticates users with the Industrial App Store so that they can access their live data sources immediately. This prevents the need for large data exports and allows models to be created using the most up to date data. Jupyter Hub uses the same data APIs as other App Store Apps. This simplifies the process of developing a prototype into a full app.
  • Scalable - The Intelligent Plant Jupyter Hub is hosted in the cloud which allows it to scale to thousands of users and to be accessed from anywhere.

Try the Jupyter Hub app on the Industrial App Store

jupyter_hub/jupyter_hub.txt · Last modified: 2022/03/21 12:55 by su