Images we provide
We provide images based on Docker Stack project with NVIDIA CUDA libraries added, so that you could use those with GPUs. You can get the list of software included in the images on the Docker Stack web page.
All images are available in JupyterLab, and also you can refer the images directly in your Pod definition.
The list of images and registry links are available in our GitLab registry:
- Base:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/base
- Minimal:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/minimal
- Desktop:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/desktop
(contains GUI desktop envorinment) - R:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/r
- R Studio:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/r-studio
(R studio can be launched) - SciPy:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/scipy
- Tensorflow:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/tensorflow
- PRP:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/prp
- Relion Desktop:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/relion-desktop
- Datascience:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/datascience
- PySpark:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/pyspark
- All Spark:
gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/all-spark
The PRP image (gitlab-registry.nrp-nautilus.io/prp/jupyter-stack/prp) is based on Tensorflow with addition of:
astropy
bowtie
fastai
keras
nbgitpuller
opencv-python
psycopg2-binary
tensorflow-probability
torch
torchvision
visualdl
git+https://github.com/veeresht/CommPy.git
We can add more libraries to this image on request in Matrix.
The Desktop image has X Window system installed and you can launch the GUI interface in Jupyter with this image. It's based on Minimal stack one.
If you're using these images in your jobs, you can speed up the image download time by using Kraken.