Call Center AI vs Pipecat
An independent, evidence-based trust comparison of Call Center AI and Pipecat, two Voice & Conversational projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Pipecat leads on trust — 83.3/100 (Grade A) vs 46.2/100 (Grade D), a 37.1-point gap. Full breakdown below.
| Signal | Call Center AImicrosoft/call-center-ai | Pipecatpipecat-ai/pipecat |
|---|---|---|
| HVTrust score | 46.2 | 83.3 |
| Evidence grade | D | A |
| Coverage grade | C | A |
| Overall rank | #342 | #49 |
| Rank in Voice & Conversational | #6 | #2 |
| GitHub stars | 6.5k | 13.9k |
| Last updated | 34d ago | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 4.6 / 10 | 6.4 / 10 |
| License | Apache-2.0 | BSD-2-Clause |
| Downloads | — | 266k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.6 | 15.5 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 12.4 | 13.9 |
| Maintenance / 20 | 9.7 | 20.0 |
| Adoption / 20 | 9.2 | 17.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 3 — Azure OpenAI, OpenAI, Redis | 6 — Amazon Bedrock, Anthropic, Google Gemini, … |
| Requires API keys | No | No |
| Plugin surface | plugins | marketplace |
| Provenance drift | — | Match |
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Call Center AI profile
Pipecat 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 →