Olivier Benz
@benz0li

I dedicate about 20% of my time to open-source software maintaining dev containers, docker images and deployment templates for Data Scientists.

• (GPU accelerated) Multi-arch Data Science Dev Containers[^1]
• (GPU accelerated) Multi-arch docker images[^1]:
  • (CUDA-enabled) JupyterLab QGIS docker stack
  • (CUDA-enabled) JupyterLab Python docker stack
  • (CUDA-enabled) JupyterLab Julia docker stack
  • (CUDA-enabled) JupyterLab R docker stack
    All JupyterLab images include
    • code-server
      → VS Code in the browser
    • Git
    • Git LFS
    • Pandoc
    • Zsh
      GPU accelerated images include
    • CUDA runtime, CUDA math libraries, NCCL and cuDNN
      • including development libraries and headers
    • TensortRT and TensorRT plugin libraries
      • including development libraries and headers
  • (CUDA-enabled) Python docker stack
  • (CUDA-enabled) Julia docker stack
  • (CUDA-enabled) R docker stack
    *Siblings[^2] of the JupyterLab images without*
    • code-server
    • IRKernel/IPython/IJulia
    • JupyterHub/JupyterLab
    • Jupyter Notebook
    • LSP Servers
    • Oh My Zsh
    • Widgets
      GPU accelerated images include
    • CUDA runtime, CUDA math libraries, NCCL and cuDNN
      • without development libraries and headers
    • TensortRT and TensorRT plugin libraries
      • without development libraries and headers
• Customised Docker Hub images[^1]:
  • Node.js
    • Node releases: current, active LTS, latest maintenance LTS[^3]
  • Python
    • Python versions: latest, the last two older[^3]
  • Julia
    • Julia releases: stable, LTS[^3]
  • JupyterHub
    • JupyterHub onbuild
• Containerised source installations[^1]:
  • Orfeo Toolbox
  • QGIS
  • Git
  • R
• Containerised installations[^1]:
  • Git LFS
• Docker deployment templates:
  • Jupyter
  • GitLab CE
  • Træfik

[^1]: Current os/arch's: linux/amd64, linux/arm64/v8
[^2]: Use cases (not exhaustive): Parent image, Dev Container, CI pipeline
[^3]: Base images: Debian (slim): stable, oldstable; Ubuntu: current LTS, former LTS

These docker images and deployment templates are freely available. If they are of value to you, consider making a donation here. In this way, maintenance and extension can be ensured in the long term.

Thanks for your support!

Another 20% I devote to collaborating with start-ups. I am available to b-data GmbH as a Data Scientist, DevOps Engineer and Managing Director the remaining 60%.

I follow the development of

1. https://gitlab.haskell.org/ghc/ghc
   and
2. https://gitlab.alpinelinux.org/alpine/aports

in order to maintain GHC musl.

The multi-arch (linux/amd64, linux/arm64/v8) docker image used to build the statically linked Linux amd64 and arm64 binary releases of

• Pandoc
• Stack
• Juvix

Images available at

• Quay: quay.io/benz0li/ghc-musl
• Docker Hub: docker.io/benz0li/ghc-musl
• GitLab (b-data GmbH): glcr.b-data.ch/ghc/ghc-musl

GitLab profile @b-data: https://gitlab.b-data.ch/benz0li