PydanticAI vs Strands Agents
An independent, evidence-based trust comparison of PydanticAI and Strands Agents, two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Strands Agents leads on trust — 91.5/100 (Grade A) vs 87.6/100 (Grade A), a 3.9-point gap. Note: Strands Agents's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types. Full breakdown below.
| Signal | PydanticAIpydantic/pydantic-ai | Strands Agentsstrands-agents/harness-sdk |
|---|---|---|
| HVTrust score | 87.6 | 91.5 |
| Evidence grade | A | A |
| Coverage grade | A | B |
| Overall rank | #19 | #5 |
| Rank in Agent Frameworks | #6 | #3 |
| GitHub stars | 19.1k | 6.8k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.7 / 10 | 5.4 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 8.0M/wk | 7.8M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 15.9 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.2 | 13.1 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 19.5 | 18.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 6 — Amazon Bedrock, Anthropic, Google Gemini, … | — |
| Requires API keys | No | No |
| Plugin surface | — | extensions |
| 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 v4.2 →