Call Center AI vs TEN Framework
An independent, evidence-based trust comparison of Call Center AI and TEN Framework, two Voice & Conversational projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
TEN Framework leads on trust — 61.0/100 (Grade C) vs 46.2/100 (Grade D), a 14.8-point gap. Full breakdown below.
| Signal | Call Center AImicrosoft/call-center-ai | TEN FrameworkTEN-framework/ten-framework |
|---|---|---|
| HVTrust score | 46.2 | 61.0 |
| Evidence grade | D | C |
| Coverage grade | C | C |
| Overall rank | #342 | #210 |
| Rank in Voice & Conversational | #6 | #4 |
| GitHub stars | 6.5k | 11.0k |
| Last updated | 34d ago | today |
| Build provenance | No | No |
| OSSF Scorecard | 4.6 / 10 | 5.0 / 10 |
| License | Apache-2.0 | NOASSERTION |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.6 | 11.2 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.4 | 12.8 |
| Maintenance / 20 | 9.7 | 18.7 |
| Adoption / 20 | 9.2 | 9.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 3 — Azure OpenAI, OpenAI, Redis | 1 — OpenAI |
| Requires API keys | No | Yes |
| Plugin surface | plugins | extensions |
| Provenance drift | — | — |
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Call Center AI profile
TEN Framework profile
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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 v4.2 →