The Sourcegraph Podcast

Samuel Colvin, Founder and Lead Maintainer of Pydantic

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Mar 20, 2023
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INSIGHT

Pydantic's Approach to Type Validation and Schema Generation

  • Pydantic uses Python type hints for runtime type validation, eliminating the need for a separate DSL.
  • It generates JSON schema for easy integration with tools like Swagger and OpenAPI, simplifying API documentation.
ANECDOTE

Pydantic's Origin and Growth

  • Samuel Colvin created Pydantic out of frustration with Python's advisory-only type hints.
  • Its usage surged unexpectedly in 2021, possibly due to factors like FastAPI adoption.
ANECDOTE

FastAPI's Impact on Pydantic

  • Samuel Colvin and Sebastián Ramírez collaborated extensively, integrating Pydantic with FastAPI and improving JSON schema support.
  • FastAPI's success significantly boosted Pydantic's adoption, as it became a core component of the framework.
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