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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Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
If you’re running Kubuntu 16.04 LTS (Xenial Xerus) or later, including Kubuntu 18.04 LTS (Bionic Beaver) and Kubuntu 18.10 (Cosmic Cuttlefish), you don’t need to do anything. Snap is already installed and ready to go.
Versions of Kubuntu between 14.04 LTS (Trusty Tahr) and 15.10 (Wily Werewolf) don’t include snap by default, but snap can be installed from the command line as follows:
sudo apt update
sudo apt install snapd
To install Data science stack (DSS), simply use the following command:
sudo snap install data-science-stack
Browse and find snaps from the convenience of your desktop using the snap store snap.
Interested to find out more about snaps? Want to publish your own application? Visit snapcraft.io now.