data-science-devcontainers and jupyterlab-python-docker-stack

data-science-devcontainers
50
Established
jupyterlab-python-docker-stack
47
Emerging
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 13/25
Stars: 40
Forks: 10
Downloads: —
Commits (30d): 0
Language: Dockerfile
License: —
Stars: 42
Forks: 6
Downloads: —
Commits (30d): 0
Language: Dockerfile
License: —
No Package No Dependents
No Package No Dependents

About data-science-devcontainers

b-data/data-science-devcontainers

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Data Science dev containers for R, Python, Julia and MAX/Mojo

This project helps data scientists and analysts quickly set up a ready-to-use development environment for their data science projects. It provides pre-configured environments with popular tools like Python, R, Julia, and Mojo, along with essential libraries and GPU acceleration support. Researchers, quantitative analysts, and machine learning engineers can use this to jumpstart their work without complex setup.

data-analysis machine-learning statistical-modeling geospatial-analysis quantitative-research

About jupyterlab-python-docker-stack

b-data/jupyterlab-python-docker-stack

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of

This project provides pre-configured computing environments for data scientists and researchers, ready to use with JupyterLab. It takes your raw data and Python scripts, and lets you analyze data, run experiments, and create reports within a consistent setup. It's designed for data scientists, analysts, and researchers who use Python for their work and need an integrated environment without the hassle of manual setup.

data-analysis scientific-computing research-environment statistical-modeling machine-learning-prototyping

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