Data science stack (DSS) (data-science-stack)
Install 1.1/stable of Data science stack (DSS)
Ubuntu 16.04 or later?
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sudo snap install data-science-stackDon't have snapd? Get set up for snaps.
Details for Data science stack (DSS)
Package name
- data-science-stack
License
- Apache-2.0
Last updated
- 29 May 2025 - 1.1/stable
- 16 October 2025 - latest/edge
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ML environments at ease on your AI workstation
Data science stack (DSS) is a ready-to-run environment for machine learning and data science. It’s built on open-source tooling (including MicroK8s, JupyterLab and MLFlow) and is usable on any Ubuntu/Snap-enabled workstation.
DSS provides a CLI for managing containerised ML environment images such as PyTorch or TensorFlow, on top of MicroK8s.
Typically, creating ML environments on a workstation involves complex and hard-to-reverse configuration. DSS solves this problem by making accessible, production-ready, isolated and reproducible ML environments, that make full use of a workstation’s GPUs.
Both ML beginners and engineers who need to build complex development and runtime environments will see set-up time reduced to a minimum, allowing them to get on with useful work within minutes.
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The build and commit information is derived from build infrastructure records.
Install Data science stack (DSS) on your Linux distribution
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