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Horkos is a data quality analysis and scoring system designed to automate assessment of readiness for release to production environments. Horkos uses natural language processing techniques to detect and report anomolies for correction.
Meet Horkos named for the role played in keeping data true, honest and accurate.
Composed of a Web Interface and ETL the system is deployable in a many configurations, together or independently.
This project adheres to the Contributor Covent code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behaviour to horkos.tech@gmail.com.
Documentation is a bit light presently and we will continue working on this.
Start with the ui/readme and extractor/readme and we will provide OS specific installations later.