How can I access the service?

To access the service, you first need to be registered at the University of Geneva and then be granted access to one of the available instances. If you are a student, you can contact your faculty's IT correspondent to inquire about whether the faculty offers the service or if they can direct you to a research group that does.

Which packages and programming languages are supported?

The software libraries available on the solution depend on the instance you are using, as different faculties or research groups may have domain-specific requirements for data computation tools. Generally, the welcome dashboard of the hub presents you with the different available programming language or data format options. In some cases, you may be able to install your own software libraries.

Will other users have access to my data?

Standard users do not have access to your user space, but administrators of your instance, including PIs, teachers, and IT correspondents, can access it. To ensure the safety of your data, it is recommended that you save your computation results on your local space once you're finished, or even better, commit them to your GitLab space using the embedded plugin.

Is the service more powerful than a local installation of jupyter?

The performance of the service depends on the allocation of resources to your instance and the number of users utilizing the solution simultaneously. JupyterHub simplifies the process of accessing Jupyter by providing an accessible and convenient option that eliminates the need for time-consuming tasks like downloading, installing, and setting up a local work environment. If you have specific memory and CPU requirements, you can contact the instance manager to request a resource quota, or you can set up a custom local work environment to meet your needs.