Pangeo Docker Images

The images defined in this repository capture reproducible computing environments used by Pangeo Cloud. They build on top of the Ubuntu operating system and include conda environments with a curated set of Python packages for geospatial analysis. While initially intended for Pangeo Cloud, they can be used outside of Pangeo infrastructure too!

More details can be found in our documentation.

Images are hosted on DockerHub and on Quay.io

Image	Description	Size	Pulls
base-image	Foundational Dockerfile for builds
base-notebook	minimally functional image for pangeo hubs
pangeo-notebook	base-notebook + core earth science analysis packages
pytorch-notebook	pangeo-notebook + GPU-enabled pytorch
ml-notebook	pangeo-notebook + GPU-enabled tensorflow2

Click on the image name in the table above for a current list of installed packages and versions

graph TD;
    base-image-->base-notebook;
    base-notebook-->pangeo-notebook;
    pangeo-notebook-->pytorch-notebook;
    pangeo-notebook-->ml-notebook;
    click base-image "https://hub.docker.com/r/pangeo/base-image" "Open this in a new tab" _blank
    click base-notebook "https://hub.docker.com/r/pangeo/base-notebook" "Open this in a new tab" _blank
    click pangeo-notebook "https://hub.docker.com/r/pangeo/pangeo-notebook" "Open this in a new tab" _blank
    click pytorch-notebook "https://hub.docker.com/r/pangeo/pytorch-notebook" "Open this in a new tab" _blank
    click ml-notebook "https://hub.docker.com/r/pangeo/ml-notebook" "Open this in a new tab" _blank

Other notes

• Since 2020.10.16, mamba is installed into the base-image and conda-lock environment and is used by default to solve for a compatible environment (see #146)
• For a simple list of packages for a given image, you can use a link like this: https://github.com/pangeo-data/pangeo-docker-images/blob/2020.10.08/pangeo-notebook/packages.txt
• To compare changes between two images, you can use a link like this: https://github.com/pangeo-data/pangeo-docker-images/compare/2020.10.03..2020.10.08
• Our ml-notebook image now contains JAX and TensorFlow with XLA enabled. Due to licensing issues, conda-forge does not have ptxas, but ptxas is needed for XLA to work correctly. Should you like to use JAX and/or TensorFlow with XLA optimization, please install ptxas on your own, for example, by conda install -c nvidia cuda-nvcc. At the time of writing (October 2022), JAX throws a compilation error if the ptxas version is higher than the driver version. There does not exist an easy solution for K80 GPUs, but in the case of T4 GPUs, you should install conda install -c nvidia cuda-nvcc==11.6.* to be safe. Alternatively for any GPU, you could set an environment variable to resolve the error caused by JAX: XLA_FLAGS="--xla_gpu_force_compilation_parallelism=1". The aforementioned error will be removed (and likely turned into a warning) in a future version of JAX. See google/jax#12776 (comment)
• There used to be a pangeo/forge image, built for use with pangeo-forge. It is no longer actively maintained or used, but you can still use the historical tags if you wish.

Dask-gateway compatibility

The primary use of these Docker images is running on Pangeo Cloud deployments with dask-gateway. Generally, the dask-gateway library version built into the image must match the dask-gateway version deployed in the cloud environment. The follow table keeps track of the first time a new dask-gateway version appears in a tagged image: