Docker Images¶
Example docker images are maintained at https://github.com/dask/dask-docker and https://hub.docker.com/r/daskdev/ .
Each image installs the full Dask conda package (including the distributed scheduler), numpy, and pandas on top of a miniconda installation on top of a Debian image.
These images are large, around 1GB.
daskdev/dask
: This a normal debian + miniconda image with the full Dask- conda package (including the distributed scheduler), Numpy, and Pandas. This image is about 1GB in size.
daskdev/dask-notebook
: This is based on the Jupyter base-notebook image and so is appropriate for use both normally as a Jupyter server, but also as part of a JupyterHub deployment. It also includes a matching Dask software environment described above. This image is about 2GB in size.
Extensibility¶
Users can mildly customize the software environment by populating the
environment variables EXTRA_APT_PACKAGES
, EXTRA_CONDA_PACKAGES
, and
EXTRA_PIP_PACKAGES
. If these environmet variables are set they will
trigger calls to the following respectively:
apt-get install $EXTRA_APT_PACKAGES
conda install $EXTRA_CONDA_PACKAGES
pip install $EXTRA_PIP_PACKAGES
Note that using these can significantly delay the container from starting,
especially when using apt
, or conda
(pip
is relatively fast).
Source¶
Docker files are maintained at https://github.com/dask/dask-docker . This repository also includes a docker-compose configuration.