Trust 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
1 CVE(s) found — 0 unpatched
via OSV.dev
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain 43% 4.8
14 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 3.7 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% 3.0
p99: 590ms, p50: 143ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/1000)
via Health checks
Incident History 20% 1.0
6 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 5.0 Commit recency, release cadence, issue response, CI/CD
3 of 4 sub-signals with data
Commit Recency 37% 5.0
via GitHub
Release Cadence 31% 5.0
via GitHub
Issue Response no data —
Weight redistributed to sub-signals with data
CI/CD Presence 31% 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
11,393,926 weekly downloads
via npm / PyPI
GitHub Stars 45% 5.0
30,709 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 (mit)
via GitHub
Documentation 25% 5.0
Docs site present with comprehensive README (>2000 bytes + examples)
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 4.3 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 4.5
Internal: 4.0 (14 services), External: 4.5 (18593 followers, 46865 stars)
via Fabric index
Org Maturity 30% 4.5
Organization, 3.2 years old
via GitHub
Community Standing 20% 5.0
236 public repositories
via GitHub
Cross-Platform 20% 3.0
Present on 2 platform(s): github, pypi
via Registry scan
Scored 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
LangGraph is a MIT-licensed framework by LangChain for building stateful multi-actor AI agent applications with cycles and persistence support. The service shows strong adoption with 9.5M weekly downloads, zero CVEs, and excellent maintenance practices, making it a low-risk choice for agent orchestration workloads. The only notable consideration is operational monitoring scored at 3.80/5.00, though 100% uptime indicates stable infrastructure.
Generated by Fabric AI · Mar 4, 2026 at 10:51 PM
Service Health (30d)
100.00%
p50: 143ms · p99: 590ms
Avg Latency
168ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Incidents & Alerts last 90 days
Score History 90 snapshots
Feb 23 Mar 5
Supply Chain & Dependencies trust chain
Showing 6 of 6 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 score per release
VERSION RELEASED SCORE DELTA
Showing 6 of 10 releases Show more →
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