Guardrails AI vs LLM Guard
An independent, evidence-based trust comparison of Guardrails AI and LLM Guard, two Security & Guardrails projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Guardrails AI leads on trust — 82.8/100 (Grade A) vs 54.7/100 (Grade C), a 28.1-point gap. Full breakdown below.
| Signal | Guardrails AIguardrails-ai/guardrails | LLM Guardprotectai/llm-guard |
|---|---|---|
| HVTrust score | 82.8 | 54.7 |
| Evidence grade | A | C |
| Coverage grade | A | A |
| Overall rank | #61 | #428 |
| Rank in Security & Guardrails | #3 | #12 |
| GitHub stars | 7.3k | 3.2k |
| Last updated | 1d ago | 42d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.1 / 10 | 5.6 / 10 |
| License | Apache-2.0 | MIT |
| Downloads | 41k/wk | 56k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.1 | 7.0 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.7 | 13.3 |
| Maintenance / 20 | 17.6 | 9.2 |
| Adoption / 20 | 15.4 | 14.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 3 — Anthropic, Multi-provider (LiteLLM), OpenAI | — |
| Requires API keys | Yes | No |
| Plugin surface | — | plugins |
| Provenance drift | Unknown | Unknown |
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Guardrails AI profile
LLM Guard 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 →