Mar 20, 2026 at 4:02 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 4.6 CVEs, dependency health, and supply chain integrity
3 of 3 sub-signals with data
Known CVEs 40% 4.1
11 CVE(s) found — 0 unpatched
via OSV.dev
Dependency Health 30% 5.0
8 dependencies (minimal)
via npm / PyPI
Supply Chain 30% 4.8
26 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 4.0 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
99.90% over 1000 checks
via Health checks
Response Latency 25% 4.0
p99: 211ms, p50: 78ms
via Health checks
Error Rate 20% 4.0
0.10% error rate (1/1000)
via Health checks
Incident History 20% 2.0
5 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% 5.0
via GitHub
Issue Response 20% 1.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption ×0.15 4.7 Downloads, stars, dependents, and growth trajectory
2 of 4 sub-signals with data
Download Volume 55% 4.5
2,527,920 weekly downloads
via npm / PyPI
GitHub Stars 45% 5.0
47,804 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 5.0 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 present
via GitHub
Changelog 25% 5.0
CHANGELOG.md present and releases exist
via GitHub
Publisher Trust ×0.15 4.2 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 4.0
Internal: 1.0 (0 services), External: 4.0 (3490 followers, 25278 stars)
via Fabric index
Org Maturity 30% 4.5
Organization, 2.9 years old
via GitHub
Community Standing 20% 5.0
113 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
llama-index is a Python data framework published by run-llama with an unknown license, providing data ingestion, indexing, and retrieval augmented generation capabilities for LLM applications. The framework shows strong operational stability with 100% uptime and maintains 8 dependencies including OpenAI integrations and file readers, though 11 CVEs have been detected in its vulnerability history. The unknown license status presents a compliance risk for production deployments requiring clear licensing terms.
Generated by Fabric AI · Mar 4, 2026 at 4:17 AM
Service Health (30d)
99.90%
p50: 78ms · p99: 211ms
Avg Latency
83ms
averaged across 30d health checks
Weekly Downloads
2.5M
PyPI weekly
Transparency & Compliance 5/5 passed
Incidents & Alerts last 90 days
Score History 90 snapshots
Feb 22 Mar 3
Community & Ecosystem adoption signals
Supply Chain & Dependencies trust chain
Showing 6 of 8 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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