I keep writing the same Pydantic-asyncpg wrapper. So I published it.

📰 Dev.to · Hannu Varjoranta

Learn how to create a reusable Pydantic-asyncpg wrapper to simplify database interactions in Python projects

intermediate Published 12 May 2026
Action Steps
  1. Create a new Python package using Pydantic and asyncpg
  2. Define a base model using Pydantic to handle database schema definitions
  3. Implement CRUD operations using asyncpg to interact with the database
  4. Test the wrapper with example use cases to ensure its functionality
  5. Publish the wrapper as a reusable package to simplify future project setups
Who Needs to Know This

Backend developers and data engineers can benefit from this wrapper to streamline their database operations and improve code consistency

Key Insight

💡 A thin Pydantic-over-asyncpg layer can significantly reduce boilerplate code and improve database operation consistency

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Simplify your Python database interactions with a reusable Pydantic-asyncpg wrapper!
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