AstrBot vs Speech To Speech
AstrBot leads on trust: 66.1/100 (Grade B) against 63.2/100 (Grade C), a 2.9-point gap. AstrBot leads on supply-chain integrity and adoption; Speech To Speech leads on transparency.
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
Choose AstrBot if supply-chain integrity and adoption matter most.
- +2.2Safety / Integrity: 98% of recent commits signed, against 35%
- +1.2Adoption: 41.8k GitHub stars against 13.4k
Build voice agents with open-source models
Choose Speech To Speech if transparency matters most.
- +0.7Transparency: OSSF Scorecard 6.6 against 5.8
Where they differ
2 dimensions identical: Identity 10.8 · Maintenance 19.9 · Full evidence table
An independent, evidence-based trust comparison of AstrBot 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 | AstrBotAstrBotDevs/AstrBot | Speech To Speechhuggingface/speech-to-speech |
|---|---|---|
| HVTrust score | 66.1 | 63.2 |
| Evidence grade | B | C |
| Coverage grade | C | C |
| Overall rank | #468 | #577 |
| Rank in Voice & Conversational | #4 | #5 |
| GitHub stars | 41.8k | 13.4k |
| Last updated | 1d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | 5.8 / 10 | 6.6 / 10 |
| License | AGPL-3.0 | Apache-2.0 |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 12.2 | 10.0 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 13.4 | 14.1 |
| Maintenance / 20 | 19.9 | 19.9 |
| Adoption / 20 | 11.1 | 9.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 3 — Anthropic, Google Gemini, OpenAI | 2 — OpenAI, OpenRouter |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | — | — |
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 →