Differences in dolfinx/lab and dolfinx/dolfinx docker container

Hey I am using the dolfinx/dolfinx container for executing my scripts. For a presentation I am trying to switch to the dolfinx/lab container, to give examples in a jupyter notebook. However, scripts executed in the latter do not behave like in the original container.
Is this to be expected? Is there a difference in both containers? How can i circumvent this issue? Thank you :slight_smile:

In the first instance check the versions,

python3 -c "import dolfinx; print(dolfinx.__version__)"

dolfinx has been in rapid development over the past months and past year, so your installations could certainly behave differently if they’ve captured different snapshots of the package.

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Yes, thank you - i thought running my container with the latest tag would pull the latest image automatically - As this is not the case this explains my issue :slight_smile:
Thank you

Is there a way to pull older images? because on the docker hub page I am only able to find the latest version of every image :sweat_smile:

I’m not using docker myself so I’m not certain. Others will be able to clarify.

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There is no back-up of older images with dolfin-x. I’ve got a few snapshots at: Docker Hub
for arbitrary days when I’ve updated my tutorial.

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