Pydantic AI vs 
Google ADK
Pydantic AI vs Google ADK compared for 2026 — features, license, ease of use, performance and which one to choose. Type-safe agents for production vs Google's official Agent Development Kit.
Updated regularly · curated by OpenSourceAI.tech
Pydantic AI vs Google ADK at a glance
| Spec | Pydantic AI | Google ADK |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent framework (typed) | Agent framework |
| License | MIT | Apache-2.0 |
| Runs locally | Cloud-optional | Partial |
| Primary language | Python | Python |
| Ease of use | Intermediate | Intermediate |
| Best for | production agents with typed outputs | production agents on the Google/Gemini stack |
| GitHub stars | 18.5k | 20.6k |
How Pydantic AI and Google ADK score
| Criterion | Pydantic AI | Google ADK |
|---|---|---|
| Popularity | 3.5 | 3.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 3.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Pydantic AI
Pydantic AI brings the ergonomics and type-safety of Pydantic to agent development, with structured outputs, dependency injection and model-agnostic support.
- Type-safe, structured agent outputs
- Familiar Pydantic developer experience
- Model-agnostic with great tooling
Google ADK
ADK is Google's code-first framework for building, evaluating and deploying agents: hierarchical multi-agent systems, workflow control, built-in eval and a path to Vertex AI.
- Model-agnostic but optimized for Gemini
- Workflow agents give deterministic orchestration
- Built-in evaluation and deployment story
Key differences
Pydantic AI is agent framework (typed), while Google ADK is agent framework. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Cloud-optional vs Partial). In short, Pydantic AI fits production agents with typed outputs, and Google ADK fits production agents on the Google/Gemini stack.
Which should you choose?
Choose Pydantic AI for production agents with typed outputs. Choose Google ADK for production agents on the Google/Gemini stack.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Pydantic AI or Google ADK easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Pydantic AI and Google ADK free?
Pydantic AI is free and open source (MIT), and Google ADK is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Pydantic AI and Google ADK locally?
Pydantic AI: cloud-optional · Google ADK: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
Pydantic AI vs Google ADK — which should I pick in 2026?
Choose Pydantic AI for production agents with typed outputs. Choose Google ADK for production agents on the Google/Gemini stack.
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