fastschema

fastschema is a Python library designed for efficient data validation and serialization. It allows developers to define data structures using Python type hints, which are then used to generate fast, compiled validation and serialization code. This approach aims to provide a performance advantage over traditional dictionary-based validation methods.

The core concept behind fastschema is the use of Pydantic's data parsing and validation capabilities. fastschema leverages these features to create optimized data models. When a fastschema model is defined, it generates code that can quickly check if incoming data conforms to the defined structure and types. This is particularly beneficial in applications that handle large volumes of data or require high throughput, such as APIs, data processing pipelines, and web frameworks.

Key features of fastschema include its ability to handle complex nested data structures, support for various data types, and automatic generation of error messages for validation failures. The library aims to simplify the process of data handling by providing a clear and Pythonic way to define data schemas. Developers can integrate fastschema into their projects to improve the robustness and performance of their data validation and serialization logic.