The ideal multi-user Data Science server with Jupyterhub and RStudio, ready for Python, R and Julia languages.

🪐 JupyterLab + VisualStudio Code workspaces for data science and knowledge graphs

Jupyter meets the Earth: combining research use cases in geosciences with technical developments within the Jupyter and Pangeo ecosystems.

Create Jupyter Docker images with MATLAB integration

Dockerfile-s to build the images which power source{d}'s computing infrastructure.

JupyterHub in Docker for CPU and GPU with deep learning frameworks (mainly for computer vision)

Jupyterhub on Kubernetes with GPU support and Multiauthentication

FOR ENGLISH SPEAKERS: This was done for a Brazilian enterprise. All documentation is on portugese, but you can use Google Translator on it. Works nice :3

Making the official ludwigai/ludwig-ray-gpu image available for jupyterhub.

Default single user image for GESIS Notebooks

Base notebook for running bash in JupyterHub with a CentOS 7 System image

A Jupyter Docker Stack for Plant Scientists and Breeders

A JupyterLab dockerfile that is based on the Stack DataScience Jupyter Image that also includes a SageMath kernel and many additional extensions.

JupyterHub Demo on Azure Managed Kubernetes Cluster

Some single-user JupyterHub Dockerfiles

a Jupyter Hub Docker container to spawn Jupyter Lab instances with GPU support

Open Data Cube Jupyter Notebook Stack

Jupyter image with Kubernetes tools

MC2 jupyterhub toolkit

Custom Docker Image für Jupyterhub. This Image is also used in the mlops-airflow-on-eks project.