MLflow vs OpenLLMetry
An independent, evidence-based trust comparison of MLflow 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.
MLflow leads on trust — 89.6/100 (Grade A) vs 81.2/100 (Grade A), a 8.4-point gap. Full breakdown below.
| Signal | MLflowmlflow/mlflow | OpenLLMetrytraceloop/openllmetry |
|---|---|---|
| HVTrust score | 89.6 | 81.2 |
| Evidence grade | A | A |
| Coverage grade | A | B |
| Overall rank | #17 | #119 |
| Rank in Observability & Evaluation | #2 | #5 |
| GitHub stars | 27.9k | 7.4k |
| Last updated | today | 33d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 5.5 / 10 | 6.7 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 5.0M/wk | 371k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 19.4 | 19.8 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.2 | 14.2 |
| Maintenance / 20 | 20.0 | 9.8 |
| Adoption / 20 | 19.6 | 16.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 3 — Amazon Bedrock, Anthropic, Postgres | 9 — Amazon Bedrock, Anthropic, Cohere, … |
| Requires API keys | No | No |
| Plugin surface | plugins | — |
| Provenance drift | Unknown | Match |
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MLflow 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 →