goSPL Docker container

Docker container with pre- & post-processing libraries

The container is built with Anaconda and contains all the dependencies and configuration files required to run the examples.

Note

If you need additional libraries you could install them from the Jupyter terminal directly, then activate the goSPL environment (conda activate gospl) and then use either the conda install command or pip install command.

goSPL Docker image

Pulling the image

Once you have installed Docker on your system, you can pull the goSPL official image as follow::

  docker pull geodels/gospl:2024.09.01

Starting the container from a terminal

You can then start a docker container (an instance of an image)::

  docker run -it -p 8888:8888 -d -v localDIR:/notebooks

where localDIR is the directory that contains the examples folder goSPL-examples.

Once Docker is running, you could open the Jupyter notebooks on a web browser at the following address: http://localhost:8888 <http://localhost:8888>_. Going into the /notebooks folder you will access your localDIR directory.

To run goSPL, you will need to use the terminal from the Jupyter interface. To activate the goSPL environment where all the libraries are installed you will have to run the following command:

  conda activate gospl

Depending on your operating system, you will be able to configure the docker application to set your resources: CPUs, memory, swap, or Disk image size. This will improve the performance of the run.

Note that you could use the Dashboard from Docker instead of passing through the terminal to download the goSPL Docker image.