templatemodels

templatemodels is a Python library designed to simplify the creation and validation of data structures. It leverages Python's type hints to define the expected shape and types of data, acting as a bridge between loosely structured data and strongly typed Python objects. The core idea is to define a "template" for your data, which can then be used to parse, validate, and serialize information.

This library is particularly useful when dealing with data from external sources such as APIs, configuration files, or user input, where the structure might not be strictly enforced. By defining a templatemodel, developers can ensure that incoming data conforms to a predictable schema, catching errors early in the development process. The models can be as simple or as complex as needed, supporting nested structures, lists, and various standard Python data types.

Key features of templatemodels include data parsing from dictionaries, automatic type coercion where possible, and comprehensive validation against the defined model. This helps in writing more robust and maintainable code by centralizing data validation logic. It aims to provide a more Pythonic way to handle data modeling compared to traditional methods that might involve manual checks or less expressive syntax.