Pipecat vs Qwen Audio Agent
Both are Grade A and 0.6 points apart, so choose on what you weigh most. Pipecat leads on adoption and transparency, and rests on broader evidence; Qwen Audio Agent leads on supply-chain integrity. Note: Qwen Audio Agent's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
Choose Pipecat if adoption and transparency matter most.
- +5.8Adoption: 242.4k weekly downloads against 247
- +0.7Transparency: OSSF Scorecard 6.3 against 5.5
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents
Choose Qwen Audio Agent if supply-chain integrity matters most.
- +1.9Safety / Integrity: 91% of recent commits signed, against 33%
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of Pipecat and Qwen Audio Agent, 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 | Pipecatpipecat-ai/pipecat | Qwen Audio AgentQwenAudio/qwen-audio-agent |
|---|---|---|
| HVTrust score | 85.4 | 86.0 |
| Evidence grade | A | A |
| Coverage grade | A | B |
| Overall rank | #82 | #71 |
| Rank in Voice & Conversational | #3 | #2 |
| GitHub stars | 16.1k | 2.8k |
| Last updated | today | 3d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.3 / 10 | 5.5 / 10 |
| License | BSD-2-Clause | Apache-2.0 |
| Downloads | 242k/wk | 247/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.0 | 18.9 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.9 | 13.2 |
| Maintenance / 20 | 20.0 | 19.8 |
| Adoption / 20 | 17.3 | 11.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 7 — Anthropic, Google Gemini, Groq, … | — |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | Match | 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 →