Mar 20, 2026 at 6:16 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 4.0 CVEs, dependency health, and supply chain integrity
3 of 3 sub-signals with data
Known CVEs 40% 5.0
No known CVEs
via OSV.dev
Dependency Health 30% 2.0
132 dependencies (high)
via npm / PyPI
Supply Chain 30% 4.8
944 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 4.6 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 1000 checks
via Health checks
Response Latency 25% 5.0
p99: 105ms, p50: 55ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/1000)
via Health checks
Incident History 20% 3.0
3 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 5.0 Commit recency, release cadence, issue response, CI/CD
4 of 4 sub-signals with data
Commit Recency 30% 5.0
via GitHub
Release Cadence 25% 5.0
via GitHub
Issue Response 20% 5.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption ×0.15 5.0 Downloads, stars, dependents, and growth trajectory
2 of 4 sub-signals with data
Download Volume 55% 5.0
16,324,346 weekly downloads
via npm / PyPI
GitHub Stars 45% 5.0
21,304 stars
via GitHub
Dependent Packages no data —
Weight redistributed to sub-signals with data
Growth Trend no data —
Weight redistributed to sub-signals with data
Transparency ×0.15 4.8 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (apache-2.0)
via GitHub
Documentation 25% 5.0
Docs site present with comprehensive README (>2000 bytes + examples)
via GitHub
Security Policy 20% 5.0
SECURITY.md present
via GitHub
Changelog 25% 4.0
Releases exist but no CHANGELOG.md
via GitHub
Publisher Trust ×0.15 4.5 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 4.5
Internal: 3.0 (5 services), External: 4.5 (60607 followers, 20583 stars)
via Fabric index
Org Maturity 30% 5.0
Organization, 9.1 years old
via GitHub
Community Standing 20% 5.0
397 public repositories
via GitHub
Cross-Platform 20% 3.0
Present on 2 platform(s): github, pypi
via Registry scan
About this scoreScored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) — actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
The `datasets` library by Hugging Face (Apache 2.0) provides a community-driven interface for accessing and processing machine learning datasets with integration across PyTorch, TensorFlow, and JAX ecosystems. The library shows strong adoption metrics and no known vulnerabilities, though it carries 132 dependencies which increases supply chain exposure. Users should be aware that the dependency tree includes multiple ML frameworks that may introduce significant installation overhead and version conflicts in constrained environments.
Generated by Fabric AI · Mar 4, 2026 at 4:18 AM
Service Health (30d)
100.00%
p50: 55ms · p99: 105ms
Avg Latency
57ms
averaged across 30d health checks
Weekly Downloads
16.3M
PyPI weekly
Transparency & Compliance 5/5 passed
Incidents & Alerts last 90 days
Score History 90 snapshots
Feb 22 Feb 26
Community & Ecosystem adoption signals
16.3M
Weekly Downloads
PyPI
Supply Chain & Dependencies trust chain
Showing 6 of 49 dependencies Show more →
Data Sources 6 indexed
◎
OSV.dev CVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬡
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬡
PyPI Package metadata, weekly downloads, dependency tree
△
HTTP Health Checks 15-min pings · uptime, latency, status monitoring
◎
PyPI Stats Download statistics and trends
Version History score per release
VERSION RELEASED SCORE DELTA
Showing 6 of 10 releases Show more →
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