Test driven data-wrangling and data validation.
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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.