PydanticAI vs Strands Agents
Both are Grade A and 2.0 points apart, so choose on what you weigh most. PydanticAI leads on supply-chain integrity and transparency, and rests on broader evidence. Note: Strands Agents's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Choose PydanticAI if supply-chain integrity and transparency matter most.
- +0.8Safety / Integrity: OSSF Scorecard 6.0 against 5.4
- +0.5Transparency: OSSF Scorecard 6.0 against 5.4
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Strands Agents doesn't lead on any scored dimension in this pair.
Where they differ
2 dimensions identical: Identity 18.0 · Maintenance 20.0 · Full evidence table
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.
Full evidence
| Signal | PydanticAIpydantic/pydantic-ai | Strands Agentsstrands-agents/harness-sdk |
|---|---|---|
| HVTrust score | 88.6 | 90.6 |
| Evidence grade | A | A |
| Coverage grade | A | B |
| Overall rank | #52 | #20 |
| Rank in Agent Frameworks | #8 | #6 |
| GitHub stars | 21.0k | 9.0k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.0 / 10 | 5.4 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 1.7M/wk | 9.6M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.0 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.6 | 13.1 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 18.7 | 18.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 9 — Amazon Bedrock, Anthropic, Cohere, … | 4 — Amazon Bedrock, Anthropic, Google Gemini, … |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| 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 v4.4 →