DvalinCode vs NeMo Guardrails
DvalinCode leads on trust: 83.6/100 (Grade A) against 74.7/100 (Grade B), a 8.9-point gap. DvalinCode leads on supply-chain integrity and provenance; NeMo Guardrails leads on maintenance and adoption, and rests on broader evidence. Note: DvalinCode's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
Independent security verification for code written by humans and AI agents. Scan, repair, then prove it — Dvalin runs your project's own checks and issues a Verified Fix Record anyone can re-derive offline. Local-first, policy-bound, MIT.
Choose DvalinCode if supply-chain integrity and provenance matter most.
- +7.2Identity / Provenance: package provenance attested, against none
- +6.1Safety / Integrity: package provenance attested, against none
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Choose NeMo Guardrails if maintenance and adoption matter most.
- +8.3Adoption: 108.2k weekly downloads against 106
- +0.9Maintenance
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
An independent, evidence-based trust comparison of DvalinCode and NeMo Guardrails, 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 | DvalinCodearthurpanhku/dvalincode | NeMo GuardrailsNVIDIA-NeMo/Guardrails |
|---|---|---|
| HVTrust score | 83.6 | 74.7 |
| Evidence grade | A | B |
| Coverage grade | B | A |
| Overall rank | #124 | #275 |
| Rank in Security & Guardrails | #4 | #6 |
| GitHub stars | 121 | 7.5k |
| Last updated | 1d ago | 1d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.8 / 10 | 7.1 / 10 |
| License | MIT | NOASSERTION |
| Downloads | 106/wk | 108k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.0 | 13.9 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 14.3 | 14.5 |
| Maintenance / 20 | 18.9 | 19.8 |
| Adoption / 20 | 7.7 | 16.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | — |
| External providers | 1 — Anthropic | 1 — OpenAI |
| Requires API keys | Yes | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Match | Unknown |
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 →