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
No known CVEs
via OSV.dev
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain 43% 4.8
93 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 3.6 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 9 checks
via Health checks
Response Latency 25% 5.0
p99: 43ms, p50: 21ms
via Health checks
Error Rate 20% 1.0
11.11% error rate (1/9)
via Health checks
Incident History 20% 2.0
4 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 4.0 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% 4.0
via GitHub
Issue Response 20% 1.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption ×0.15 1.4 Downloads, stars, dependents, and growth trajectory
2 of 4 sub-signals with data
Download Volume 55% 1.0
10 weekly downloads
via npm / PyPI
GitHub Stars 45% 2.0
362 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 4.2 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% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 4.0
Releases exist but no CHANGELOG.md
via GitHub
Publisher Trust ×0.15 2.0 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 2.0
Internal: 1.0 (0 services), External: 2.0 (13 followers, 362 stars)
via Fabric index
Org Maturity 30% 1.5
Organization, 0.2 years old
via GitHub
Community Standing 20% 2.0
3 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
LoongFlow is an expert-grade AI agent development framework published by baidu-baige under Apache-2.0 license, designed to enable agents to think and learn through iterative experience accumulation. The repository shows zero maintenance activity and minimal adoption (8 weekly downloads), with no transparency signals or publisher trust indicators available. The combination of absent maintenance scores and extremely low adoption suggests this is a dormant or early-stage project not recommended for production use despite clean vulnerability scanning.
Generated by Fabric AI · Mar 4, 2026 at 4:58 AM
Package Availability (30d)
100.00%
p50: 21ms · p99: 43ms
Avg Latency
20ms
averaged across 30d health checks
Weekly Downloads
10
PyPI weekly
Transparency & Compliance 4/5 passed
Incidents & Alerts last 90 days
Score History 17 snapshots
Feb 23 Mar 5
Community & Ecosystem adoption signals
Supply Chain & Dependencies trust chain
Showing 6 of 16 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
VERSION RELEASED
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