Langfuse vs OpenLLMetry
An independent, evidence-based trust comparison of Langfuse and OpenLLMetry, two Observability & Evaluation projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
OpenLLMetry leads on trust — 83.4/100 (Grade A) vs 78.8/100 (Grade B), a 4.6-point gap. Note: OpenLLMetry's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types. Full breakdown below.
| Signal | Langfuselangfuse/langfuse | OpenLLMetrytraceloop/openllmetry |
|---|---|---|
| HVTrust score | 78.8 | 83.4 |
| Evidence grade | B | A |
| Coverage grade | A | B |
| Overall rank | #160 | #101 |
| Rank in Observability & Evaluation | #6 | #4 |
| GitHub stars | 34.8k | 7.4k |
| Last updated | today | 1d ago |
| Build provenance | No | Yes |
| OSSF Scorecard | 6.9 / 10 | 6.4 / 10 |
| License | NOASSERTION | Apache-2.0 |
| Downloads | 5.3M/wk | 458k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 13.5 | 19.4 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 14.4 | 13.9 |
| Maintenance / 20 | 20.0 | 12.9 |
| Adoption / 20 | 19.9 | 16.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 2 — Anthropic, OpenAI | 9 — Amazon Bedrock, Anthropic, Cohere, … |
| Requires API keys | Yes | No |
| Plugin surface | plugins | — |
| Provenance drift | Unknown | Match |
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Langfuse profile
OpenLLMetry profile
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How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.3 →