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.
PydanticAI leads on trust — 87.6/100 (Grade A) vs 84.5/100 (Grade A), a 3.1-point gap. Full breakdown below.
| Signal | LangGraphlangchain-ai/langgraph | PydanticAIpydantic/pydantic-ai |
|---|---|---|
| HVTrust score | 84.5 | 87.6 |
| Evidence grade | A | A |
| Coverage grade | A | A |
| Overall rank | #41 | #19 |
| Rank in Agent Frameworks | #8 | #6 |
| GitHub stars | 38.9k | 19.1k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.9 / 10 | 6.7 / 10 |
| License | MIT | MIT |
| Downloads | 17.5M/wk | 8.0M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 21.1 | 15.9 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.4 | 14.2 |
| Maintenance / 20 | 17.4 | 20.0 |
| Adoption / 20 | 20.0 | 19.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 2 — Postgres, Redis | 6 — Amazon Bedrock, Anthropic, Google Gemini, … |
| Requires API keys | No | No |
| Plugin surface | plugins | — |
| Provenance drift | Warning | 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 →