Mar 4, 2026 at 10:51 PM 6 signals analysed No manual reviews ยท fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ร0.25 0.0 CVEs, dependency health, and supply chain integrity
0 of 3 sub-signals with data
Known CVEs no data โ
Weight redistributed to sub-signals with data
Dependency Health no data โ
Weight redistributed to sub-signals with data
Supply Chain no data โ
Weight redistributed to sub-signals with data
Operational Reliability ร0.15 3.5 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 3 checks
via Health checks
Response Latency 25% 4.0
p99: 205ms, p50: 179ms
via Health checks
Error Rate 20% 1.0
33.33% error rate (1/3)
via Health checks
Incident History 20% 3.0
3 incidents in last 90 days
via Incidents table
Maintenance Activity ร0.15 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 ร0.15 5.0 Downloads, stars, dependents, and growth trajectory
1 of 4 sub-signals with data
Download Volume no data โ
Weight redistributed to sub-signals with data
GitHub Stars 100% 5.0
22,459 stars
via GitHub
Dependent Packages no data โ
Weight redistributed to sub-signals with data
Growth Trend no data โ
Weight redistributed to sub-signals with data
Transparency ร0.15 3.9 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 3.0
Public repo with non-OSI license (noassertion)
via GitHub
Documentation 25% 4.0
Good README (>2000 bytes with examples)
via GitHub
Security Policy 20% 5.0
SECURITY.md present
via GitHub
Changelog 25% 4.0
Releases exist but no CHANGELOG.md
via GitHub
Publisher Trust ร0.15 3.2 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 3.5
Internal: 2.0 (1 services), External: 3.5 (731 followers, 23856 stars)
via Fabric index
Org Maturity 30% 4.5
Organization, 2.8 years old
via GitHub
Community Standing 20% 3.0
18 public repositories
via GitHub
Cross-Platform 20% 1.0
Present on 1 platform(s): github
via Registry scan
About this scoreScored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) โ actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
Langfuse is an open-source LLM engineering platform published by langfuse under NOASSERTION license, providing observability, metrics, and prompt management with integrations for OpenTelemetry, Langchain, and OpenAI SDK. The service shows strong adoption and maintenance activity with 100% operational uptime, indicating active development and reliable infrastructure. The NOASSERTION license classification requires clarification, as the actual repository license should be verified before production deployment to ensure compliance requirements are met.
Generated by Fabric AI ยท Mar 4, 2026 at 10:51 PM
Package Availability (30d)
100.00%
p50: 179ms ยท p99: 205ms
Avg Latency
133ms
averaged across 30d health checks
Weekly Downloads
โ
no package registry data
Transparency & Compliance 3/5 passed
Incidents & Alerts last 90 days
Score History 4 snapshots
Feb 23 Mar 1
Data Sources 6 indexed
โ
OSV.dev CVE database ยท vulnerability scanning for npm & PyPI packages
โ
GitHub API Commits, issues, releases, repo metadata, transparency checks
โฌก
npm Registry Package metadata, weekly downloads, maintainers, dependencies
โฌก
PyPI Package metadata, weekly downloads, dependency tree
โณ
HTTP Health Checks 15-min pings ยท uptime, latency, status monitoring
โ
PyPI Stats Download statistics and trends
Version History score per release
VERSION RELEASED SCORE DELTA
Showing 6 of 10 releases Show more โ
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