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Make sense of messy data, one clean column at a time.
Explore the project’s official website and documentation.
Published reviews support its use for data cleaning; learning its expression language helps with advanced transformations.
Product-level ratings can include hosted and paid editions. GitHub stars measure repository interest, not customer satisfaction.
A free tool for cleaning and transforming messy data. Run it locally and use a browser interface to explore datasets, standardize values, transform formats, and reconcile records against external data sources.
These tools share use cases. Features, costs, and deployment needs differ.