Headroom vs vLLM
Headroom leads on trust: 89.3/100 (Grade A) against 80.7/100 (Grade A), a 8.6-point gap. Headroom leads on supply-chain integrity and provenance; vLLM leads on adoption and rests on broader evidence. Note: Headroom's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose Headroom if supply-chain integrity and provenance matter most.
- +7.5Safety / Integrity: package provenance attested, against none
- +7.2Identity / Provenance: package provenance attested, against none
A high-throughput and memory-efficient inference and serving engine for LLMs
Choose vLLM if adoption matters most.
- +0.9Adoption: 423.2k weekly downloads against 113.6k
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
2 dimensions identical: Transparency 14.0 · Maintenance 20.0 · Full evidence table
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.
Full evidence
| Signal | Headroomheadroomlabs-ai/headroom | vLLMvllm-project/vllm |
|---|---|---|
| HVTrust score | 89.3 | 80.7 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #31 | #153 |
| Rank in LLM Gateways & Infra | #1 | #3 |
| GitHub stars | 77.2k | 94.8k |
| Last updated | today | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.5 / 10 | 6.5 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 114k/wk | 423k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.6 | 13.1 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 14.0 | 14.0 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 18.5 | 19.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Declared |
| External providers | 5 — Amazon Bedrock, Anthropic, Multi-provider (LiteLLM), … | — |
| Requires API keys | Yes | No |
| Plugin surface | plugins | extensions |
| 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 v4.4 →