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Open Source Startup Podcast

E101: Building the Fastest Growing Data Validation Library

Aug 22, 2023
Samuel Colvin, Founder of Pydantic, discusses the growth and developer experience of their data validation framework, Pydantic. They prioritize empathy in API design and engage with the community through surveys. The podcast also touches on the challenges of open-source development and the roadmap for the future.
36:57

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Pydantic's growth can be attributed to its timely solution for ensuring type safety in real-world data and its commitment to developer experience.
  • Pedantic's pragmatic approach balances correctness and simplicity, making it easy for both novice and experienced developers to use and gaining recognition and trust across various industries and organizations.

Deep dives

Pedantic: Enforcing Type Hints for Real-World Data in Python

Pedantic is a data validation library for Python that enforces type hints for real-world data. It takes type hints, which are annotations for the expected types of variables, and provides a way to enforce them. This helps developers avoid bugs and ensures that data conforms to the specified types. Pedantic is widely used, with notable applications in web frameworks like FastAPI and organizations like NASA and the UN. It simplifies the development process and improves the reliability of Python code by providing a powerful data validation solution.

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