Bulletin No.294 · Oct 21, 2026Public data only · heuristic, not an audit
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Case file No.036 · pypi · stdio

Lium GPU Cloud

io.github.Datura-ai/lium · v0.25.0

Rent NVIDIA GPU pods on Lium, run commands on them and remove them, billed per second.

Security score
96/100
Strong

Normalized over 100 points of available evidence.

Score breakdown

Known advisories40/40

0 affecting current version, 0 historical

Maintenance20/20

last push 0 days ago

Source transparency15/15

public repo, license MIT

Metadata stability15/15

0 risky metadata change(s) without a version bump

Adoption6/10

2383 weekly downloads

Known advisories

source: OSV.dev
No advisories found in OSV for this package name. (Not proof of safety.)

Metadata change timeline

rug-pull detection
  1. First snapshot (v0.25.0)Oct 21, 2026

No changes observed yet across 1 snapshot(s).

Tool lists: not published by the registry — unknown.

FAQ

auto-generated from the data above
Is Lium GPU Cloud safe?

MCPWatch gives Lium GPU Cloud a heuristic security score of 96/100 (strong), based on 100 points of available evidence. This is an automated heuristic, not an audit.

Does Lium GPU Cloud have known CVEs or vulnerabilities?

No advisories were found in OSV.dev for the pypi package lium.io. That is not proof of safety.

When was Lium GPU Cloud last updated?

The latest registry version is 0.25.0, published Oct 20, 2026. The last push to Datura-ai/lium was on Oct 21, 2026. MCPWatch last checked it on Oct 21, 2026.

What license does Lium GPU Cloud use?

GitHub reports the license of Datura-ai/lium as MIT.

Related servers

same publisher / similar score