The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
docker spark standalone
Custom Docker Image für Jupyterhub. This Image is also used in the mlops-airflow-on-eks project.
Jupyter environment with Google Cloud SDK installed
Spin up Jupyter Lab and RStudio in a Docker container on a VM - compatible with Binder
Ready-to-run Docker images containing Jupyter applications
Dockerfile and docker-compose file to create a container with jupyter notebook, python , spark and other tools.
Apache Hadoop development environment integrated with Jupyter Notebook using Docker
jupyter notebook with pyrocko pre-installed
Extended jupyter notebook image.
A repository for a docker image containing Keras and Jupyter notebook.
Docker analytics build
Dockerfile for Python Jupyter environment.
A comprehensive Jupyter notebook environment with multi-user support through JupyterHub, supporting multi-language support including Java, Python, Dart, JavaScript/Typescript, and Zsh
A Jupyter Notebook with Python 3 and Node 10 LTS Docker image
Apache Spark cluster connected to a Jupyter Notebook instance
Ready-to-run Docker images containing JupyterLab on NVIDIA GPU
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 2 months ago