Headroom vs Ollama
Headroom leads on trust: 88.9/100 (Grade A) against 67.5/100 (Grade B), a 21.4-point gap. Headroom leads on supply-chain integrity and provenance.
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Choose Headroom if supply-chain integrity and provenance matter most.
- +9.5Safety / Integrity: 100% of recent commits signed, against 86%
- +7.2Identity / Provenance: package provenance attested, against none
- +6.1Adoption
- +0.9Transparency: OSSF Scorecard 6.5 against 5.4
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Ollama doesn't lead on any scored dimension in this pair.
Where they differ
1 dimension identical: Maintenance 19.9 · Full evidence table
An independent, evidence-based trust comparison of Headroom and Ollama, two LLM Gateways & Infra projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Headroomheadroomlabs-ai/headroom | Ollamaollama/ollama |
|---|---|---|
| HVTrust score | 88.9 | 67.5 |
| Evidence grade | A | B |
| Coverage grade | B | B |
| Overall rank | #45 | #434 |
| Rank in LLM Gateways & Infra | #2 | #5 |
| GitHub stars | 78.7k | 185.7k |
| Last updated | 1d ago | 1d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.5 / 10 | 5.4 / 10 |
| License | Apache-2.0 | MIT |
| Downloads | 154k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.6 | 11.1 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 14.0 | 13.1 |
| Maintenance / 20 | 19.9 | 19.9 |
| Adoption / 20 | 18.7 | 12.6 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | — |
| External providers | 6 — Amazon Bedrock, Anthropic, Multi-provider (LiteLLM), … | — |
| Requires API keys | Yes | No |
| Plugin surface | plugins | — |
| Provenance drift | 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 →