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.