Call Center AI vs Rasa
Rasa leads on trust: 57.2/100 (Grade C) against 42.4/100 (Grade D), a 14.8-point gap. Rasa leads on supply-chain integrity and adoption, and rests on broader evidence.
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Call Center AI doesn't lead on any scored dimension in this pair.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Choose Rasa if supply-chain integrity and adoption matter most.
- +7.3Adoption: 21.4k GitHub stars against 6.7k
- +3.0Safety / Integrity: 59% of recent commits signed, against 17%
- +1.5Maintenance: last push 102d ago, against 125d ago
- +0.6Transparency: OSSF Scorecard 5.3 against 4.6
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Call Center AI and Rasa, 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 | Call Center AImicrosoft/call-center-ai | RasaRasaHQ/rasa |
|---|---|---|
| HVTrust score | 42.4 | 57.2 |
| Evidence grade | D | C |
| Coverage grade | C | A |
| Overall rank | #1169 | #784 |
| Rank in Voice & Conversational | #12 | #10 |
| GitHub stars | 6.7k | 21.4k |
| Last updated | 125d ago | 102d ago |
| Build provenance | No | No |
| OSSF Scorecard | 4.6 / 10 | 5.3 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | — | 40k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.6 | 9.6 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.4 | 13.0 |
| Maintenance / 20 | 3.7 | 5.2 |
| Adoption / 20 | 9.2 | 16.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 1 — Redis | 3 — Amazon Bedrock, Postgres, Redis |
| Requires API keys | No | No |
| 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 →