b-data/jupyterlab-julia-docker-stack
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Julia docker images. Please submit Pull Requests to the GitLab repository. Mirror of
This project provides ready-to-use environments for technical computing, data analysis, and scientific publishing with Julia. It gives you a consistent workspace in your browser, complete with essential tools like JupyterLab, code editors, version control (Git), and publishing systems (Quarto, LaTeX). Researchers, data scientists, and engineers who use Julia for high-performance tasks will find this useful.
Use this if you need a pre-configured, isolated, and consistent Julia development environment that includes a full suite of tools for coding, data analysis, and scientific document creation.
Not ideal if you primarily work with programming languages other than Julia or Python, or if you prefer to manually configure every aspect of your development setup.
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Mar 13, 2026
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