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Trust Score comparison · April 2026
| Factor | CrewAI | PydanticAI |
|---|---|---|
| License | MIT | MIT |
| Language | Python | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | — | — |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | — | — |
from crewai import Agent, Task, Crew
# Create specialized agents
researcher = Agent(
role='Research Analyst',
goal='Find the latest trends in AI',
backstory='You are an expert researcher with years of experience'
)
writer = Agent(
role='Content Writer',
goal='Write engaging articles about AI trends',
backstory='You are a skilled writer who creates compelling content'
)
# Create tasks
research_task = Task(
description='Research the latest AI trends for 2024',
agent=researcher
)
write_task = Task(
description='Write a blog post about the research findings',
agent=writer
)
# Create and run the crew
crew = Crew(agents=[researcher, writer], tasks=[research_task, write_task])
result = crew.kickoff()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)CrewAI 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.