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Last pushed: 13 days ago
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IntelligenceLab - Docker Images

This repo includes files and scripts to build Docker Images for Data Science Environment.

Docker Images

datascience_ape (folder docker_ape)

This docker image including basic environment to run a Jupyter Notebook (or JupyterHub) with Python 3, R 3.4, OpenJDK 8, NodeJS 8.

The images is built based on debian:stretch, although only tested on x86 platform, it is expected to be able to run on ppc64le platform.

Although conda is installed, we do not recommend to use conda to install a lib/package, because:

  • Conda does not support some platform like ppc64le yet, building from source will make your image run or more platform.
  • Conda does not provide a stable linux system library repo yet, for example, some lib works well on debian:jessie but fail on debian:stretch.
  • Conda does not reuse the existing system library yet, if a system lib is already intalled, conda install it again.

datascience_base (folder docker_base)

This docker image is built based on docker_baes, which install some frequent used Python/R packages and Jupyter Notebook extension.


These images are highly customizable, if you find a system lib / Python module / R packages is missing,
you can easily add one in the install_XX.list in the work folder.

Docker Pull Command
Source Repository

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