Registry › Compare › LangGraph vs PydanticAI

LangGraph vs PydanticAI

LangGraph leads on trust: 94.4/100 (Grade A) against 88.6/100 (Grade A), a 5.8-point gap. LangGraph leads on supply-chain integrity and adoption.

A LangGraph 94.4

Build resilient agents.

langchain-ai/langgraph · #2 overall · #2 Agent Frameworks · coverage A (4/5)

Choose LangGraph if supply-chain integrity and adoption matter most.

+1.4Safety / Integrity: OSSF Scorecard 7.1 against 6.0
+1.3Adoption: 18.5M weekly downloads against 1.7M
+0.9Transparency: OSSF Scorecard 7.1 against 6.0

A PydanticAI 88.6

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

pydantic/pydantic-ai · #52 overall · #8 Agent Frameworks · coverage A (4/5)

PydanticAI doesn't lead on any scored dimension in this pair.

Where they differ

21.4

Safety / IntegrityLangGraph +1.4

20.0

14.5

TransparencyLangGraph +0.9

13.6

19.9

MaintenancePydanticAI +0.1

20.0

AdoptionLangGraph +1.3

18.7

+0.6

Runtime calibrationLangGraph +2.3

-1.7

1 dimension identical: Identity 18.0 · Full evidence table

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.

Full evidence

Signal	LangGraphlangchain-ai/langgraph	PydanticAIpydantic/pydantic-ai
HVTrust score	94.4	88.6
Evidence grade	A	A
Coverage grade	A	A
Overall rank	#2	#52
Rank in Agent Frameworks	#2	#8
GitHub stars	44.3k	21.0k
Last updated	1d ago	today
Build provenance	Yes	Yes
OSSF Scorecard	7.1 / 10	6.0 / 10
License	MIT	MIT
Downloads	18.5M/wk	1.7M/wk
Trust dimensions (points earned)
Safety / integrity / 25	21.4	20.0
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.5	13.6
Maintenance / 20	19.9	20.0
Adoption / 20	20.0	18.7
Runtime capability surface (full matrix)
MCP server	—	Declared
External providers	—	9 — Amazon Bedrock, Anthropic, Cohere, …
Requires API keys	No	No
Plugin surface	—	plugins
Provenance drift	Partial	Match

Open in the live compare tool → LangGraph profile PydanticAI profile More Agent Frameworks →

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 →