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Which are the computing resources of the WEkEO JupyterHub?
Which are the computing resources of the WEkEO JupyterHub?

Come discover the WEkEO's computing resources and working environments available in the WEkEO JupyterHub!

David Bina avatar
Written by David Bina
Updated over a week ago

WEkEO's computing resources and working environments


WEkEO offers several services and benefits to its users, whether it is an essential, an advanced or paid cloud computing customer plan (WEkEO offer plans).

One of them is the free access to WEKEO JupyterHub and its computing resources.

These computing resources are the following:

Earth Observation mode

Designed with the simple purpose of visualizing some data and results: perfect during the WEkEO trainings and webinars. This profile offers: 3.5 CPU and 14 GB of RAM.

It comes installed with the following tools:

  • R: a set of datascience librairies is included. You can open a terminal and list their versions with the following command:

    R -e 'data.frame(installed.packages())[,c("Package", "Version")]'
    ​

  • Python: with a set of conda environments, that you can list with conda env list:

    • base: the default environment

    • climaf: an environment with the climaf library and more

    • pcmdi: an environment with the pcmdi library and more

    • cmts_ocean_case_studies: environment for training materials in the public/wekeo4oceans/ocean-case-studies folder

    • miniwekeolab : an environment with all basics and useful package needed by the majority of WEkEO's users, including the HDA API Python client

Machine Learning mode

More data science oriented, mostly used to process your data and run more complex computation. As for the Earth Observation server, this profile offers 3.5 CPU and 14 GB of RAM too, and the following tools installed:

  • Python, with a set of conda environments, that you can list with conda env list:

    • base: the default environment

    • machine-learning: an environment with tensorflow, pytorch, and more

    • cmts_ocean_case_studies: environment for training materials in the public/wekeo4oceans/ocean-case-studies folder

    • miniwekeolab : an environment with all basics and useful package needed by the majority of WEkEO's users, including the HDA API Python client

πŸ“Œ Note: for both modes, all the most used python packages are already installed in the default miniwekeolab environment of WEKEO's JupyterHub platform.

However, it is also possible to create a personal environment: How to create a custom environment on WEkEO JupyterHub?

How to switch between servers ?

If you want to change the server during your session, here are the 2 steps you need to follow:

  1. Go to File then to the Hub Control Panel

  2. Click on Stop Server

  3. When spawning the Jupyter Hub again, there is again the option to choose servers

What's next?


To know more about the WEkEO JupyterHub, here are some linked articles:

We are user-driven and we implement users' suggestions, so feel free to contact us:

  • through a chat session available in the bottom right corner of the page

  • via e-mail to our support team (supportATwekeo.eu)

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