OpenLLMetry vs Opik
OpenLLMetry leads on trust: 86.3/100 (Grade A) against 78.7/100 (Grade B), a 7.6-point gap. OpenLLMetry leads on supply-chain integrity and transparency; Opik leads on maintenance and adoption, and rests on broader evidence. Note: OpenLLMetry's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Choose OpenLLMetry if supply-chain integrity and transparency matter most.
- +7.5Safety / Integrity
- +5.5Transparency
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Choose Opik if maintenance and adoption matter most.
- +3.4Maintenance: last push today, against 4d ago
- +1.3Adoption: 521k weekly downloads against 452.6k
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of OpenLLMetry and Opik, two Observability & Evaluation projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | OpenLLMetrytraceloop/openllmetry | Opikcomet-ml/opik |
|---|---|---|
| HVTrust score | 86.3 | 78.7 |
| Evidence grade | A | B |
| Coverage grade | B | A |
| Overall rank | #78 | #195 |
| Rank in Observability & Evaluation | #4 | #7 |
| GitHub stars | 7.5k | 22.7k |
| Last updated | 4d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.5 / 10 | — |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 453k/wk | 521k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 19.7 | 12.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.0 | 8.5 |
| Maintenance / 20 | 16.6 | 20.0 |
| Adoption / 20 | 16.8 | 18.1 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 9 — Amazon Bedrock, Anthropic, Cohere, … | 4 — Amazon Bedrock, Anthropic, Multi-provider (LiteLLM), … |
| Requires API keys | No | No |
| Plugin surface | — | extensions |
| Provenance drift | Match | Partial |
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 v4.4 →