docker-stacks
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
What is docker-stacks?
Jupyter Docker Stacks is a collection of ready-to-run Docker images that package Jupyter applications (like JupyterLab and Jupyter Notebook) with popular data science and machine learning libraries. It solves the problem of environment setup and dependency management by providing pre-configured, reproducible containers for interactive computing.
Data scientists, researchers, educators, and developers who need consistent, portable Jupyter environments for data analysis, machine learning, or scientific computing workflows.
Developers choose Jupyter Docker Stacks because it eliminates environment configuration headaches, ensures reproducibility across teams and deployments, and offers a wide variety of specialized stacks (e.g., with TensorFlow, PyTorch, or R) out of the box.
Overview
Ready-to-run Docker images containing Jupyter applications
Use Cases
Best For
- Quickly spinning up a personal Jupyter Server with JupyterLab for data exploration
Related Projects
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