- Latest
- —
- Licence
- Open source
- Verification
- No checksum published
- Platforms
- Linux
About Data science stack (DSS)
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.
- Platforms
- Linux
- Licence
- Open source (Apache-2.0) — source code is public under an open-source licence; free to use, study and share.
- Categories
- Linux · Developer toolsLinux · AI tools
- Links
- Official website
Official downloads
No release has been imported yet.
This software is installed through package managers — see the install guide.
Install guide
The best way to install, update and remove this program on your system, from the official source.
Recommended
Source: Snap Store (snapcraft.io)
Install
sudo snap install data-science-stack
Update
sudo snap refresh data-science-stack
Remove
sudo snap remove data-science-stackThe command is copied without the prompt sign.
Security & project health
Security
29How trustworthy the source and files are: verified publisher, checksums, HTTPS, official host, signature, scan, links and known vulnerabilities.
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Verified publisher0/20
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SHA-256 checksums0/15
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HTTPS downloads0/10
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Official download host0/10
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Code signature5/10
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File scan7/15
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Working links2/5
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No open vulnerabilities15/15
Health
29Is the project alive? Release recency and cadence, community, maintenance status and data completeness.
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Recent release0/35
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Releases in the last 12 months0/20
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Community10/20
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Actively maintained15/15
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Complete information4/10
Known vulnerabilities
Vulnerability tracking is not configured for this program yet.
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User reviews
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