LangGraph vs PydanticAI
An independent, evidence-based trust comparison of LangGraph and PydanticAI, two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
LangGraph leads on trust — 92.8/100 (Grade A) vs 87.1/100 (Grade A), a 5.7-point gap. Full breakdown below.
| Signal | LangGraphlangchain-ai/langgraph | PydanticAIpydantic/pydantic-ai |
|---|---|---|
| HVTrust score | 92.8 | 87.1 |
| Evidence grade | A | A |
| Coverage grade | A | A |
| Overall rank | #4 | #28 |
| Rank in Agent Frameworks | #3 | #7 |
| GitHub stars | 39.7k | 19.3k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 7.0 / 10 | 6.9 / 10 |
| License | MIT | MIT |
| Downloads | 17.5M/wk | 8.0M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 21.2 | 16.1 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.4 | 14.4 |
| Maintenance / 20 | 18.4 | 20.0 |
| Adoption / 20 | 20.0 | 19.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Declared |
| External providers | — | 8 — Amazon Bedrock, Anthropic, Cohere, … |
| Requires API keys | No | No |
| Plugin surface | — | — |
| Provenance drift | Partial | 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 v4.3 →