Registry › Compare › Guardrails AI vs LLM Guard

Guardrails AI vs LLM Guard

Guardrails AI leads on trust: 76.7/100 (Grade B) against 53.9/100 (Grade C), a 22.8-point gap. Guardrails AI leads on supply-chain integrity and provenance.

B Guardrails AI 76.7

Adding guardrails to large language models.

guardrails-ai/guardrails · #198 overall · #4 Security & Guardrails · coverage A (4/5)

Choose Guardrails AI if supply-chain integrity and provenance matter most.

+10.2Safety / Integrity: 100% of recent commits signed, against 60%
+7.2Identity / Provenance: package provenance attested, against none
+5.7Maintenance: last push 2d ago, against 87d ago
+0.9Adoption: 7.5k GitHub stars against 3.2k

C LLM Guard 53.9

The Security Toolkit for LLM Interactions

protectai/llm-guard · #836 overall · #17 Security & Guardrails · coverage A (4/5)

LLM Guard doesn't lead on any scored dimension in this pair.

Where they differ

20.0

Safety / IntegrityGuardrails AI +10.2

9.8

18.0

Identity / ProvenanceGuardrails AI +7.2

10.8

13.6

TransparencyGuardrails AI +0.5

13.1

11.9

MaintenanceGuardrails AI +5.7

6.2

15.2

AdoptionGuardrails AI +0.9

14.3

-2.0

Runtime calibrationLLM Guard +1.7

-0.3

Full evidence table

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.

Full evidence

Signal	Guardrails AIguardrails-ai/guardrails	LLM Guardprotectai/llm-guard
HVTrust score	76.7	53.9
Evidence grade	B	C
Coverage grade	A	A
Overall rank	#198	#836
Rank in Security & Guardrails	#4	#17
GitHub stars	7.5k	3.2k
Last updated	2d ago	87d ago
Build provenance	Yes	No
OSSF Scorecard	6.0 / 10	5.4 / 10
License	Apache-2.0	MIT
Downloads	27k/wk	27k/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.0	9.8
Identity & provenance / 18	18.0	10.8
Transparency / 17	13.6	13.1
Maintenance / 20	11.9	6.2
Adoption / 20	15.2	14.3
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

Open in the live compare tool → Guardrails AI profile LLM Guard profile More Security & Guardrails →

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 →