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* Create user jovyan with UID=1000 in the default users group in the Dockerfile * Set group ownership of user home and conda to root to avoid 'users' group from host access when mounted * Set stick bit on both paths so root owns subdirs too * Change jovyan UID if NB_UID is specified and is not the default 1000 Contribution (c) Copyright IBM Corp. 2015
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.
- Install Docker on your host of choice.
- Click the link for the Docker Hub repo or GitHub source for your desired stack.
- Follow the README for that stack.
Available Stacks
Branches / tags reflect the version of the primary process in each container (e.g., notebook server). Currently, GitHub master / Docker latest for Jupyter Notebook containers are equivalent to 4.0.x / 4.0
| 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/datascience-notebook | datascience-notebook | master → latest 4.0.x → 4.0 |
| 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 |