Drawbacks of Pydantic: A Deep Dive with Examples
· 7 min read
📉 Drawbacks of Pydantic: A Deep Dive with Examples
Pydantic is an indispensable tool in the modern Python ecosystem, powering frameworks like FastAPI and widely used for data validation. However, like any powerful abstraction, it comes with trade-offs. While it excels at validation and developer ergonomics, it introduces overhead and complexity that can become problematic in specific high-performance or dynamic scenarios.
This article explores the drawbacks of Pydantic, providing concrete code examples to illustrate where it might not be the best fit.
