Mar 3, 2026 at 7:21 AM6 signals analysed6 commits (90d)No manual reviews · fully automated Trust Signal Breakdownhigh3 sub-signals across 6 dimensions
CVEs, dependency health, and supply chain integrity
3 of 3 sub-signals with data
Known CVEs40%5.0
No known CVEs
via OSV.dev
Dependency Health30%5.0
3 dependencies (minimal)
via npm / PyPI
Supply Chain30%5.0
Supply chain analyzed, no transitive CVEs
via npm provenance
Uptime, latency, error rates, and incident history
0 of 0 sub-signals with data
Commit recency, release cadence, issue response, CI/CD
0 of 0 sub-signals with data
Downloads, stars, dependents, and growth trajectory
0 of 0 sub-signals with data
License, documentation, security policy, changelog
0 of 0 sub-signals with data
Track record, org maturity, community standing
0 of 0 sub-signals with data
About this score
Scored across 3 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)
Trust AssessmentAI Assessment
Helper functions to use tensorflow in nodejs for transfer learning, image classification, and more
Package Availability (30d)
100.00%
p50: 196ms · p99: 215ms
Avg Latency
194ms
averaged across 30d health checks
Weekly Downloads
12-87%
npm weekly
Transparency & Compliance4/5 passed
Incidents & Alertslast 90 days
Score History5 snapshots
Feb 23Mar 1
Community & Ecosystemadoption signals
6
Commits (90d)
tensorflow-helpers
Supply Chain & Dependenciestrust chain
Showing 3 of 3 dependencies Data Sources6 indexed
◎
OSV.devCVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub APICommits, issues, releases, repo metadata, transparency checks
⬡
npm RegistryPackage metadata, weekly downloads, maintainers, dependencies
⬡
PyPIPackage metadata, weekly downloads, dependency tree
△
HTTP Health Checks15-min pings · uptime, latency, status monitoring
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PyPI StatsDownload statistics and trends
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