docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

Quick Start

If you're familiar with Docker, have it configured, and know exactly what you'd like to run, this one-liner should work in most cases:

docker run -d -P jupyter/<your desired stack>

Getting Started

If this is your first time using Docker or any of the Jupyter projects, do the following to get started.

1. Install Docker on your host of choice.
2. Click the link for the Docker Hub repo or GitHub source for your desired stack.
3. Follow the README for that stack.

Available Stacks

Note: Branches / tags reflect the version of the primary process in each container (e.g., notebook server). We're still thinking about how to capture versions of installed supporting libraries.

Docker Hub repo	GitHub source	Git Branch → Docker Tag
jupyter/minimal-notebook	minimal-notebook	master → latest 4.0.x → 4.0 3.2.x → 3.2
jupyter/scipy-notebook	scipy-notebook	master → latest 4.0.x → 4.0 3.2.x → 3.2
jupyter/r-notebook	r-notebook	master → latest 4.0.x → 4.0 3.2.x → 3.2
jupyter/all-spark-notebook	all-spark-notebook	master → latest 4.0.x → 4.0 3.2.x → 3.2
jupyter/pyspark-notebook	pyspark-notebook	master → latest 4.0.x → 4.0 3.2.x → 3.2