Registry › Compare › OpenAI Agents SDK (JS) vs PydanticAI

OpenAI Agents SDK (JS) vs PydanticAI

Both are Grade A and 4.4 points apart, so choose on what you weigh most. OpenAI Agents SDK (JS) leads on supply-chain integrity and transparency; PydanticAI leads on maintenance and adoption, and rests on broader evidence. Note: OpenAI Agents SDK (JS)'s evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A lightweight, powerful framework for multi-agent workflows and voice agents

openai/openai-agents-js · #6 overall · #4 Agent Frameworks · coverage B (3/5)

Choose OpenAI Agents SDK (JS) if supply-chain integrity and transparency matter most.

  • +3.1Safety / Integrity: OSSF Scorecard 8.5 against 6.0
  • +2.1Transparency: OSSF Scorecard 8.5 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)

Choose PydanticAI if maintenance and adoption matter most.

  • +1.7Maintenance: last push today, against 1d ago
  • +1.5Adoption: 21k GitHub stars against 4k
  • A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

23.1
Safety / IntegrityOpenAI Agents SDK (JS) +3.1
20.0
15.7
TransparencyOpenAI Agents SDK (JS) +2.1
13.6
18.3
MaintenancePydanticAI +1.7
20.0
17.2
AdoptionPydanticAI +1.5
18.7
+0.7
Runtime calibrationOpenAI Agents SDK (JS) +2.4
-1.7

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of OpenAI Agents SDK (JS) 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 OpenAI Agents SDK (JS)openai/openai-agents-js PydanticAIpydantic/pydantic-ai
HVTrust score 93.0 88.6
Evidence grade A A
Coverage grade B A
Overall rank #6 #52
Rank in Agent Frameworks #4 #8
GitHub stars 4.0k 21.0k
Last updated 1d ago today
Build provenance Yes Yes
OSSF Scorecard 8.5 / 10 6.0 / 10
License MIT MIT
Downloads 2.5M/wk 1.7M/wk
Trust dimensions (points earned)
Safety / integrity / 25 23.1 20.0
Identity & provenance / 18 18.0 18.0
Transparency / 17 15.7 13.6
Maintenance / 20 18.3 20.0
Adoption / 20 17.2 18.7
Runtime capability surface (full matrix)
MCP server Implemented Declared
External providers 1 — OpenAI 9 — Amazon Bedrock, Anthropic, Cohere, …
Requires API keys Yes No
Plugin surface extensions plugins
Provenance drift Match Match
Open in the live compare tool → OpenAI Agents SDK (JS) 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 →