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Trust and health report

scikit-optimize - trust report

Sourced, dated trust signals - maintenance label posture, repository provenance, and security scan status. Not a composite safety grade.

GraphCanon updated today · GitHub synced today

Maintenance

Recency and activity heuristics from public GitHub metadata (maintenance label, momentum); methodology: github_public_v1.

Archived8% signal

last push 869d ago · last release 4y

Provenance

Repository identity and fork provenance (github_public_v1).

Security scan

Dependency advisory security scan when a lockfile is present. Not a full code audit.

Status
17 low
Last scan
today
Scanner
osv@v1

Findings

GHSA-5545-2q6w-2gh6
numpy@1.13.3 · requirements.txt
GHSA-6p56-wp2h-9hxr
numpy@1.13.3 · requirements.txt
GHSA-9fq2-x9r6-wfmf
numpy@1.13.3 · requirements.txt
GHSA-f7c7-j99h-c22f
numpy@1.13.3 · requirements.txt
GHSA-fpfv-jqm9-f5jm
numpy@1.13.3 · requirements.txt
PYSEC-2019-108
numpy@1.13.3 · requirements.txt
PYSEC-2021-856
numpy@1.13.3 · requirements.txt
PYSEC-2021-857
numpy@1.13.3 · requirements.txt
PYSEC-2023-102
scipy@0.19.1 · requirements.txt
PYSEC-2023-114
scipy@0.19.1 · requirements.txt
GHSA-jjw5-xxj6-pcv5
scikit-learn@0.20 · requirements.txt
GHSA-jw8x-6495-233v
scikit-learn@0.20 · requirements.txt
PYSEC-2020-107
scikit-learn@0.20 · requirements.txt
PYSEC-2020-108
scikit-learn@0.20 · requirements.txt
PYSEC-2024-110
scikit-learn@0.20 · requirements.txt
GHSA-6hrg-qmvc-2xh8
joblib@0.11 · requirements.txt
PYSEC-2022-288
joblib@0.11 · requirements.txt

Method and caveats:these are sourced, dated heuristics from public GitHub data and optional dependency scans. A status like "no criticals found on 2026-07-11" is not a guarantee of safety. Read the full trust methodology · JSON report at /api/graphcanon/tools/scikit-optimize-scikit-optimize/trust.

Common questions

Is scikit-optimize maintained?
scikit-optimize is archived on GitHub. GraphCanon treats archived repositories as dormant regardless of past activity.
Is scikit-optimize safe to use?
Last scanned today (deps profile). Status: 17 low - 17 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify scikit-optimize as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is scikit-optimize a fork?
No. scikit-optimize is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does scikit-optimize have known security vulnerabilities?
Last scanned today (deps profile). Status: 17 low - 17 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.
How often is the scikit-optimize trust report updated?
Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).
What does GraphCanon never claim about scikit-optimize?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for scikit-optimize. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for scikit-optimize?
Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read trust methodology for full scope and limits.