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 — 84.0/100 (Grade A) vs 47.7/100 (Grade D), a 36.3-point gap. Full breakdown below.
| Signal | Call Center AImicrosoft/call-center-ai | Pipecatpipecat-ai/pipecat |
|---|---|---|
| HVTrust score | 47.7 | 84.0 |
| Evidence grade | D | A |
| Coverage grade | C | A |
| Overall rank | #473 | #51 |
| Rank in Voice & Conversational | #7 | #2 |
| GitHub stars | 6.6k | 14.1k |
| Last updated | 45d ago | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 4.6 / 10 | 6.3 / 10 |
| License | Apache-2.0 | BSD-2-Clause |
| Downloads | — | 266k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.6 | 15.4 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 12.4 | 13.9 |
| Maintenance / 20 | 9.0 | 20.0 |
| Adoption / 20 | 9.2 | 17.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 1 — Redis | 7 — Anthropic, Google Gemini, Groq, … |
| Requires API keys | No | No |
| Plugin surface | — | plugins |
| Provenance drift | — | Match |
Open in the live compare tool →
Call Center AI profile
Pipecat profile
More Voice & Conversational →
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 v4.3 →