PydanticAI vs Vercel AI SDK
Both are Grade A and 4.6 points apart, so choose on what you weigh most. PydanticAI leads on supply-chain integrity and transparency; Vercel AI SDK leads on adoption.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Choose PydanticAI if supply-chain integrity and transparency matter most.
- +0.9Safety / Integrity: OSSF Scorecard 5.9 against 5.2
- +0.6Transparency: OSSF Scorecard 5.9 against 5.2
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Choose Vercel AI SDK if adoption matters most.
- +1.5Adoption: 30.8M weekly downloads against 1.4M
Where they differ
2 dimensions identical: Identity 18.0 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of PydanticAI and Vercel AI SDK, 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 | PydanticAIpydantic/pydantic-ai | Vercel AI SDKvercel/ai |
|---|---|---|
| HVTrust score | 88.3 | 92.9 |
| Evidence grade | A | A |
| Coverage grade | A | A |
| Overall rank | #39 | #6 |
| Rank in Agent Frameworks | #8 | #4 |
| GitHub stars | 20.6k | 27.3k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 5.9 / 10 | 5.2 / 10 |
| License | MIT | NOASSERTION |
| Downloads | 1.4M/wk | 30.8M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 19.9 | 19.0 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.5 | 12.9 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 18.5 | 20.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 8 — Amazon Bedrock, Anthropic, Cohere, … | 1 — OpenAI |
| Requires API keys | No | No |
| Plugin surface | 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 →