Call Center AI vs Leon
Leon leads on trust: 58.8/100 (Grade C) against 42.4/100 (Grade D), a 16.4-point gap. Leon leads on supply-chain integrity and maintenance.
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Call Center AI doesn't lead on any scored dimension in this pair.
🧠 Leon is your open-source personal assistant.
Choose Leon if supply-chain integrity and maintenance matter most.
- +16.2Maintenance: last push 1d ago, against 125d ago
- +1.6Safety / Integrity: 52% of recent commits signed, against 17%
- +1.0Adoption: 17.6k GitHub stars against 6.7k
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Call Center AI and Leon, two Voice & Conversational projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Call Center AImicrosoft/call-center-ai | Leonleon-ai/leon |
|---|---|---|
| HVTrust score | 42.4 | 58.8 |
| Evidence grade | D | C |
| Coverage grade | C | C |
| Overall rank | #1169 | #730 |
| Rank in Voice & Conversational | #12 | #6 |
| GitHub stars | 6.7k | 17.6k |
| Last updated | 125d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | 4.6 / 10 | 4.5 / 10 |
| License | Apache-2.0 | MIT |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.6 | 8.2 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.4 | 12.3 |
| Maintenance / 20 | 3.7 | 19.9 |
| Adoption / 20 | 9.2 | 10.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 1 — Redis | 5 — Anthropic, DeepSeek, Groq, … |
| Requires API keys | No | No |
| Plugin surface | — | plugins |
| Provenance drift | — | — |
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 →