Pipecat vs Speech To Speech
Pipecat leads on trust: 85.4/100 (Grade A) against 63.2/100 (Grade C), a 22.2-point gap. Pipecat leads on provenance and adoption, and rests on broader evidence.
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
Choose Pipecat if provenance and adoption matter most.
- +7.5Adoption: 16.4k GitHub stars against 13.4k
- +7.2Identity / Provenance: package provenance attested, against none
- +7.0Safety / Integrity: package provenance attested, against none
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
Build voice agents with open-source models
Speech To Speech doesn't lead on any scored dimension in this pair.
Where they differ
An independent, evidence-based trust comparison of Pipecat and Speech To Speech, 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 | Speech To Speechhuggingface/speech-to-speech |
|---|---|---|
| HVTrust score | 85.4 | 63.2 |
| Evidence grade | A | C |
| Coverage grade | A | C |
| Overall rank | #88 | #577 |
| Rank in Voice & Conversational | #3 | #5 |
| GitHub stars | 16.4k | 13.4k |
| Last updated | today | 1d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.3 / 10 | 6.6 / 10 |
| License | BSD-2-Clause | Apache-2.0 |
| Downloads | 294k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.0 | 10.0 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.9 | 14.1 |
| Maintenance / 20 | 20.0 | 19.9 |
| Adoption / 20 | 17.4 | 9.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 7 — Anthropic, Google Gemini, Groq, … | 2 — OpenAI, OpenRouter |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | 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 →