RegistryCompare › Call Center AI vs Rasa

Call Center AI vs Rasa

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.

Rasa leads on trust — 59.8/100 (Grade C) vs 46.2/100 (Grade D), a 13.6-point gap. Full breakdown below.
Signal Call Center AImicrosoft/call-center-ai RasaRasaHQ/rasa
HVTrust score 46.2 59.8
Evidence grade D C
Coverage grade C A
Overall rank #342 #222
Rank in Voice & Conversational #6 #5
GitHub stars 6.5k 21.3k
Last updated 34d ago 11d ago
Build provenance No No
OSSF Scorecard 4.6 / 10 5.2 / 10
License Apache-2.0 Apache-2.0
Downloads 69k/wk
Trust dimensions (points earned)
Safety / integrity / 25 6.6 6.5
Identity & provenance / 18 10.8 10.8
Transparency / 17 12.4 12.9
Maintenance / 20 9.7 11.3
Adoption / 20 9.2 16.8
Runtime capability surface (full matrix)
MCP server
External providers 3 — Azure OpenAI, OpenAI, Redis 3 — Amazon Bedrock, Postgres, Redis
Requires API keys No No
Plugin surface plugins plugins
Provenance drift Match
Open in the live compare tool → Call Center AI profile Rasa 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 v4.2 →