A lightweight data validation toolkit
Project description
validata
validata is a lightweight data-quality toolkit for validating tabular data stored in CSV and Excel files.
It provides a set of focused, practical checks commonly required in data engineering, reporting, and ETL pipelines.
The library is designed to be simple, predictable, and easy to integrate into existing workflows.
Features
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Compare column structures between files
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Validate required columns
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Check missing values for key fields
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Detect new distinct values between file versions
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Validate that a date column belongs to a specific month
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Extract the list of months present in a dataset
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Produce value counts for a column
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Clear all rows while preserving file structure
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All functions operate on CSV, XLSX, and XLS formats.
Installation
pip install validata
Project details
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