GoodTables

GoodTables is an open-source framework for validating and cleaning tabular data. Developed by Frictionless Data, it aims to make data more reliable and easier to work with by identifying and addressing common data quality issues. The framework primarily uses the Table Schema specification to define the structure and expected format of tabular data.

When validating data, GoodTables checks for adherence to a defined schema, which includes details like column names, data types, required fields, and unique value constraints. It can also perform a range of checks to identify problems within the data itself, such as duplicate rows, incorrect data formats, or missing values. The output of the validation process is typically a report detailing any errors or warnings found, along with their locations.

Beyond validation, GoodTables offers capabilities for data cleaning. This can involve tasks like standardizing data formats, coercing data types, and handling missing values according to predefined rules. The goal is to automatically transform messy data into a cleaner, more consistent state.

GoodTables is designed to be integrated into various data workflows, from manual analysis to automated data pipelines. It can be used as a command-line tool, a Python library, or accessed through an API, providing flexibility for different user needs. Its open-source nature and focus on open standards like Table Schema contribute to its adoption in projects that prioritize data interoperability and reproducibility.