Getting Started with Pydantic: Type-Safe Data Models in Python

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
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  1. pydantic

    Data validation using Python type hints

    To dive deeper, check out the Pydantic documentation for advanced features like nested models, custom validators, and settings management. Happy coding!

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. uv

    An extremely fast Python package and project manager, written in Rust.

    Ensure you’re using Python 3.7 or later, as Pydantic relies on type hints introduced in recent Python versions. If you haven’t installed uv yet, you can get it from uv’s official documentation.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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the 2nd most popular programming language
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