Registry › Compare › Guardrails AI vs REA

Guardrails AI vs REA

Both are Grade B and 2.9 points apart, so choose on what you weigh most. Guardrails AI leads on adoption and supply-chain integrity, and rests on broader evidence; REA leads on maintenance.

B Guardrails AI 76.7

Adding guardrails to large language models.

guardrails-ai/guardrails · #194 overall · #3 Security & Guardrails · coverage A (4/5)

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

+6.4Adoption: 24.7k weekly downloads against 72
+4.1Safety / Integrity: 100% of recent commits signed, against 45%
+0.9Transparency: OSSF Scorecard 6.0 against 4.9
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

B REA 73.8

Reverse engineer anything with agents, from app behavior down to native binaries.

morluto/rea · #246 overall · #4 Security & Guardrails · coverage B (3/5)

Choose REA if maintenance matters most.

+0.8Maintenance

Where they differ

20.0

Safety / IntegrityGuardrails AI +4.1

15.9

13.6

TransparencyGuardrails AI +0.9

12.7

11.9

MaintenanceREA +0.8

12.7

15.2

AdoptionGuardrails AI +6.4

8.8

-2.0

Runtime calibrationREA +7.7

+5.7

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Guardrails AI and REA, 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	REAmorluto/rea
HVTrust score	76.7	73.8
Evidence grade	B	B
Coverage grade	A	B
Overall rank	#194	#246
Rank in Security & Guardrails	#3	#4
GitHub stars	7.5k	415
Last updated	1d ago	18d ago
Build provenance	Yes	Yes
OSSF Scorecard	6.0 / 10	4.9 / 10
License	Apache-2.0	MIT
Downloads	25k/wk	72/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.0	15.9
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.6	12.7
Maintenance / 20	11.9	12.7
Adoption / 20	15.2	8.8
Runtime capability surface (full matrix)
MCP server	—	Implemented
External providers	3 — Anthropic, Multi-provider (LiteLLM), OpenAI	—
Requires API keys	Yes	No
Plugin surface	—	—
Provenance drift	Unknown	Match

Open in the live compare tool → Guardrails AI profile REA 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 v4.3 →