GoldenCheck is an open-source data validation tool that automatically discovers rules from your data, removing the need to write data validation rules manually. Featuring both CLI and interactive interfaces, it provides column- and cross-column data profiling, detects a wide array of data issues (like type mismatches, nullability, format errors, outliers, and schema drift), and optionally leverages LLMs for enhanced validation and suggestions. It is suitable for data engineers, analysts, and teams who need lightweight but thorough data quality checks and want to integrate validation easily with existing Python or TypeScript/Node.js workflows.
Visit GoldenCheck's official website for product details and getting started.
Comprehensive user manual and API reference for GoldenCheck.
Community support and bug tracking for GoldenCheck.
Insights and tutorials on data validation and using GoldenCheck effectively.