Datatest helps speed up and formalize data-wrangling and data validation tasks. It repurposes software testing practices for data preparation and quality assurance projects. Datatest can help you:
Clean and wrangle data faster and more accurately.
Maintain a record of checks and decisions regarding important data sets.
Distinguish between ideal criteria and acceptible deviation.
Measure progress of data preparation tasks.
On-board new team members with an explicit and structured process.
Test data pipeline components and end-to-end behavior.
Datatest supports both pytest and unittest style testing. It implements a system of validation methods, difference classes, and acceptance context managers.
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