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