3.77/ 5.00
trustedBeta
Mar 3, 2026 at 7:30 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data

Weight redistributed to sub-signals with data

Supply Chainno data

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 2 checks

via Health checks

Response Latency25%5.0

p99: 69ms, p50: 69ms

via Health checks

Error Rate20%1.0

50.00% error rate (1/2)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data

Weight redistributed to sub-signals with data

Release Cadenceno data

Weight redistributed to sub-signals with data

Issue Responseno data

Weight redistributed to sub-signals with data

CI/CD Presenceno data

Weight redistributed to sub-signals with data

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volume100%1.0

42 weekly downloads

via npm / PyPI

GitHub Starsno data

Weight redistributed to sub-signals with data

Dependent Packagesno data

Weight redistributed to sub-signals with data

Growth Trendno data

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data

Weight redistributed to sub-signals with data

Documentationno data

Weight redistributed to sub-signals with data

Security Policyno data

Weight redistributed to sub-signals with data

Changelogno data

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%5.0

Internal: 2.0 (1 services), External: 5.0 (13481 followers, 78152 stars)

via Fabric index

Org Maturity30%4.5

Organization, 4.0 years old

via GitHub

Community Standing20%4.0

99 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, pypi

via Registry scan

About this score
Scored across 23 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

Stable Diffusion is an open-source image generation model published by Stability AI that creates images from text prompts for creative and commercial use. The service shows strong operational reliability with perfect uptime and no known vulnerabilities, supported by a trusted publisher. However, extremely low weekly download counts (42) appear inconsistent with its described "wide adoption," and zero scores in maintenance and transparency signals suggest incomplete data rather than actual assessment of the codebase's health.

Generated by Fabric AI · Mar 3, 2026 at 7:30 AM

Package Availability (30d)
100.00%
p50: 69ms · p99: 69ms
Avg Latency
47ms
averaged across 30d health checks
Weekly Downloads
42
PyPI weekly
Incidents & Alertslast 90 days
Mar 2Trust score increased by 1.503.77
Feb 23Stable Diffusion added to Trust Index2.27
Showing 2 of 2 events
Score History2 snapshots
5.003.752.501.250.00
Feb 23Mar 2
Community & Ecosystemadoption signals
42
Weekly Downloads
PyPI
Data Sources6 indexed

Are you the publisher?

Claim this profile to unlock deeper evaluation, real-time monitoring,
and trust signals that help agents discover your service.

Share this Trust Score

Generate a scorecard image optimised for X, LinkedIn and other social platforms.

⬇ Download Score Card