I dedicate about 20% of my time to open-source software and maintain dev containers, docker images and deployment templates for Data Scientists, ML/AI Engineers, and the like.
These are available for free and if they are of value to you, consider making a donation: or .

Open-source contributors sponsored by me:

• With $16 a month
  • John MacFarlane for pandoc
  • Albert Krewinkel for pandoc
  • Drew DeVault for SourceHut
• With $12 a month
  • Victoria Drake for Introduction theme for Hugo

GPU accelerated multi-arch¹ dev container:

• CUDA-based Data Science dev containers

GPU accelerated multi-arch¹ docker images:

• CUDA-based JupyterLab Julia docker stack
• CUDA-based JupyterLab MAX docker stack
• CUDA-based JupyterLab Python docker stack
• CUDA-based JupyterLab R docker stack
• CUDA-based Julia docker stack
• CUDA-based MAX docker stack
• CUDA-based Python docker stack
• CUDA-based R docker stack

Multi-arch¹ dev container:

• Mojo dev container

Multi-arch¹ docker images:

• JupyterLab Julia docker stack
• JupyterLab MAX docker stack
• JupyterLab Mojo docker stack
• JupyterLab Python docker stack
• JupyterLab R docker stack
• Julia docker stack
• MAX docker stack
• Mojo docker stack
• Python docker stack
• R docker stack
• GHC musl
  → Used to build the statically linked Linux amd64 and arm64 binary releases of pandoc.

Unofficial and untested releases²:

• Linux/RISC-V
  • Pandoc
  • Stack
  • code-server
• Linux/AArch64
  • Neovim

Customised Docker Hub images¹:

• Node.js
  • Node releases: current, active LTS, latest maintenance LTS
• Python
  • Python versions: latest, the last two older
• Julia
  • Julia releases: stable, LTS
• JupyterHub
  • JupyterHub onbuild

Containerised source-installations¹:

• Neovim
• Orfeo Toolbox
• QGIS
• Git
• R

Containerised installations¹:

• Git LFS

Deployment templates:

• IDE for Data Science: Jupyter
  • JupyterLab + code-server
• DevOps Platform: GitLab CE
• Reverse proxy: Traæfik