Mar 20, 2026 at 6:04 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 4.9 CVEs, dependency health, and supply chain integrity
2 of 3 sub-signals with data
Known CVEs 57% 5.0
No known CVEs
via OSV.dev
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain 43% 4.8
10 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 4.8 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 13 checks
via Health checks
Response Latency 25% 5.0
p99: 21ms, p50: 10ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/13)
via Health checks
Incident History 20% 4.0
1 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 4.2 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% 4.0
via GitHub
Issue Response 20% 2.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption ×0.15 2.0 Downloads, stars, dependents, and growth trajectory
1 of 4 sub-signals with data
Download Volume no data —
Weight redistributed to sub-signals with data
GitHub Stars 100% 2.0
350 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 4.3 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (mit)
via GitHub
Documentation 25% 3.0
Adequate README (>500 bytes)
via GitHub
Security Policy 20% 5.0
SECURITY.md inherited from org .github repo
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% 5.0
Internal: 5.0 (14 services), External: 4.5 (17065 followers, 35633 stars)
via Fabric index
Org Maturity 30% 4.5
Organization, 3.0 years old
via GitHub
Community Standing 20% 5.0
229 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
langchain-google-genai is a MIT-licensed framework from LangChain that integrates Google Generative AI (Gemini API) models into LangChain applications. The package shows no known vulnerabilities and maintains 100% uptime, with 2.5M weekly downloads indicating moderate production adoption. Maintenance scoring at 3.95/5.00 suggests adequate but not exceptional update frequency, worth monitoring for teams requiring long-term support commitments.
Generated by Fabric AI · Mar 4, 2026 at 10:51 PM
Package Availability (30d)
100.00%
p50: 10ms · p99: 21ms
Avg Latency
11ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Incidents & Alerts last 90 days
Score History 90 snapshots
Mar 4 Mar 8
Supply Chain & Dependencies trust chain
Showing 4 of 4 dependencies
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
VERSION RELEASED
Showing 6 of 10 releases Show more →
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