Headroom vs vLLM
An independent, evidence-based trust comparison of Headroom and vLLM, 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.
Headroom leads on trust — 86.7/100 (Grade A) vs 79.8/100 (Grade B), a 6.9-point gap. Note: Headroom's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types. Full breakdown below.
| Signal | Headroomchopratejas/headroom | vLLMvllm-project/vllm |
|---|---|---|
| HVTrust score | 86.7 | 79.8 |
| Evidence grade | A | B |
| Coverage grade | B | A |
| Overall rank | #23 | #58 |
| Rank in LLM Gateways & Infra | #1 | #3 |
| GitHub stars | 62.6k | 87.2k |
| Last updated | today | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 4.6 / 10 | 6.7 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 208k/wk | 1.2M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 18.1 | 13.4 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 12.4 | 14.2 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 18.6 | 19.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Declared |
| External providers | 4 — Amazon Bedrock, Anthropic, OpenAI, … | 3 — Anthropic, OpenAI, Postgres |
| Requires API keys | No | No |
| Plugin surface | extensions | plugins |
| Provenance drift | Partial | Match |
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 v4.2 →