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PydanticAI vs AutoGen
Trust Score comparison · March 2026
Signal Comparison
180k / wkPyPI downloads200k / wk
290 commitsCommits (90d)350 commits
9k ★GitHub stars38k ★
80 q'sStack Overflow500 q's
GrowingCommunityHigh
PydanticAIAutoGen
Key Differences
| Factor | PydanticAI | AutoGen |
|---|---|---|
| License | MIT | MIT |
| Language | Python | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | — | — |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | — | — |
Pick PydanticAI if…
- You want full type safety and IDE autocompletion for agent code
- Structured output validation is critical for your pipeline
- Teams already using Pydantic and FastAPI who want familiar patterns
Pick AutoGen if…
- Building multi-agent pipelines where agents review each other's work
- Research and prototyping with autonomous agent loops
- Complex code generation tasks requiring agent collaboration
Side-by-side Quick Start
PydanticAI
from pydantic_ai import Agent
from pydantic import BaseModel
class Response(BaseModel):
answer: str
confidence: float
agent = Agent('openai:gpt-4o', result_type=Response)
result = agent.run_sync('What is 2+2?')
print(result.data.answer)AutoGen
import autogen
llm_config = {"model": "gpt-4o", "api_key": "YOUR_API_KEY"}
assistant = autogen.AssistantAgent("assistant", llm_config=llm_config)
user_proxy = autogen.UserProxyAgent("user_proxy", human_input_mode="NEVER")
user_proxy.initiate_chat(assistant, message="Write a Python fibonacci function.")Community Verdict
Based on upvoted notes🏆
PydanticAI wins this comparison
Trust Score 82 vs 80 · 2-point difference
PydanticAI leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.