Cherry Studio vs OpenUI
OpenUI leads on trust: 89.3/100 (Grade A) against 67.1/100 (Grade B), a 22.2-point gap. Cherry Studio leads on transparency; OpenUI leads on supply-chain integrity and provenance, and rests on broader evidence.
Your AI workspace for models, agents, and productivity.
Choose Cherry Studio if transparency matters most.
- +0.7Transparency: OSSF Scorecard 6.0 against 5.2
The Open Standard for Generative UI
Choose OpenUI if supply-chain integrity and provenance matter most.
- +7.2Identity / Provenance: package provenance attested, against none
- +6.4Safety / Integrity: package provenance attested, against none
- +5.6Adoption
- B vs CEvidence coverage: 3 of 5 independent signal types, against 2
Where they differ
An independent, evidence-based trust comparison of Cherry Studio and OpenUI, two UI & App Builders projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Cherry StudioCherryHQ/cherry-studio | OpenUIthesysdev/openui |
|---|---|---|
| HVTrust score | 67.1 | 89.3 |
| Evidence grade | B | A |
| Coverage grade | C | B |
| Overall rank | #454 | #39 |
| Rank in UI & App Builders | #8 | #1 |
| GitHub stars | 53.4k | 15.0k |
| Last updated | today | 1d ago |
| Build provenance | No | Yes |
| OSSF Scorecard | 6.0 / 10 | 5.2 / 10 |
| License | AGPL-3.0 | MIT |
| Downloads | — | 132k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 12.5 | 18.9 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 13.6 | 12.9 |
| Maintenance / 20 | 20.0 | 19.9 |
| Adoption / 20 | 11.3 | 16.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | — |
| External providers | 6 — Anthropic, DeepSeek, Firecrawl, … | 1 — OpenAI |
| Requires API keys | No | No |
| Plugin surface | extensions | — |
| Provenance drift | — | 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 →