Agent Development Kit (ADK) vs Pydantic AI
Side-by-side comparison of two AI agent tools
A
Agent Development Kit (ADK)open-source
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Pydantic AIopen-source
AI Agent Framework, the Pydantic way
Metrics
| Agent Development Kit (ADK) | Pydantic AI | |
|---|---|---|
| Stars | 21.7k | 20.3k |
| Star velocity /mo | 1.8k | 711.8181818181818 |
| Commits (90d) | 1.3k | 1.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8546977073741404 | 0.7924905229931825 |
Pros
- +Model-agnostic support for virtually every major LLM provider and cloud platform, offering flexibility in model selection
- +Built by the Pydantic team with deep integration of proven validation technology used by OpenAI SDK, Google ADK, Anthropic SDK, and other major AI libraries
- +FastAPI-like developer experience with type hints and validation, providing familiar ergonomics for Python developers
Cons
- -Python-only framework, limiting adoption for teams using other programming languages
- -Relatively new framework compared to established alternatives like LangChain or LlamaIndex
- -May have a steeper learning curve for developers unfamiliar with Pydantic's validation concepts
Use Cases
- •Building production-grade AI agents that need to integrate with multiple LLM providers for redundancy and cost optimization
- •Developing type-safe AI workflows where data validation and schema enforcement are critical for reliability
- •Creating AI applications that require seamless switching between different models and providers based on performance or cost requirements
FAQ
- Which is more popular, Agent Development Kit (ADK) or Pydantic AI?
- Agent Development Kit (ADK) has more GitHub stars (21,688 vs 20,295).
- Which is more actively developed, Agent Development Kit (ADK) or Pydantic AI?
- Pydantic AI had more commits in the last 90 days (1,381 vs 1,322).
- Should I use Agent Development Kit (ADK) or Pydantic AI?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.