Olivier Benz
@benz0li
dev containers, docker images and deployment templates for Data Scientists
Description
I devote about 20% of my time to open-source software maintaining dev containers, docker images and deployment templates for Data Scientists, ML/AI Engineers, and the like.
(GPU accelerated) Multi-arch dev containers[^1]:
(GPU accelerated) Multi-arch docker images[^1]:
- JupyterLab MAX/Mojo docker stack
- (CUDA-based) JupyterLab Julia docker stack
- (CUDA-based) JupyterLab Python docker stack
- (CUDA-based) JupyterLab R docker stack
All JupyterLab images include- code-server
→Code - OSS
in the browser - Neovim
- 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
- code-server
- (CUDA-based) JupyterLab QGIS docker stack
--- - MAX/Mojo docker stack
- (CUDA-based) Julia docker stack
- (CUDA-based) Python docker stack
- (CUDA-based) 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
Unofficial and untested releases[^3]:
- Linux/RISC-V
- Linux/AArch64
Customised Docker Hub images[^1]:
- Node.js
- Node releases: current, active LTS, latest maintenance LTS[^4]
- Python
- Python versions: latest, the last two older[^4]
- Julia
- Julia releases: stable, LTS[^4]
- JupyterHub
Containerised source installations[^1]:
Containerised installations[^1]:
Deployment templates:
[^1]: Current os/arch
's: linux/amd64
, linux/arm64/v8
[^2]: Use cases (not exhaustive): Parent image, dev container, CI pipeline
[^3]: For currently unsupported archs due to missing GitHub runners
[^4]: Base images: Debian (slim): stable, oldstable; Ubuntu: current LTS, former LTS
I follow the development of
in order to maintain GHC musl – Unofficial binary distributions of GHC on Alpine Linux.
ℹ️ The multi-arch (linux/amd64
, linux/arm64/v8
) docker image used to build the statically linked Linux amd64 and arm64 binary releases of
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
All dev containers, docker images and deployment templates are available for free. If they are of value to you, consider making a donation here. This ensures maintenance and support in the long term.
Thank you!
Linked Accounts
benz0li owns the following accounts on other platforms:
Repositories
GHC musl Stars 0 Updated 1 week ago
Unofficial binary distributions of GHC on Alpine Linux. Multi-arch (linux/amd64, linux/arm64/v8) GHC musl docker images. Mirrored to https://gitlab.b-data.ch/ghc/ghc-musl and https://github.com/benz0li/ghc-musl.
ghc-musl Stars 18 Updated 1 week ago
Unofficial binary distributions of GHC on Alpine Linux. Multi-arch (linux/amd64, linux/arm64/v8) GHC musl docker images. Please submit Pull Requests to the GitLab repository. Mirror of
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benz0li donates publicly to 1 creator.
History
benz0li joined 3 years ago.