Namespace Aware Data Validator and Pre-processor
This Python module provides data validation against a data schema. The data schema describes the structure, the data types and all value limitations which a given data must match.
In addition data values at defined points within the data schema can be referenced among each other. They can be tested on uniqueness or if at some point in the data a value (consumer) is the same value that is located at another point in data (producer).
Furthermore, input data can be enriched with default values or values can be converted (i.e. into another data type).
A documentation about the concept, features, data types, API details and examples can be found at Read the Docs.
This project is licensed under GPLv3. See LICENSE file within this project.
The source code development is hosted at GitLab.com.
FAQs
nadap validates and pre-process data structure, data types and values
We found that nadap demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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