GoldenCheck

GoldenCheck profiles data and surfaces quality issues: missing values, format inconsistencies, outliers, duplicates. Full report field reference included.

GoldenCheck profiles your data and identifies quality issues — missing values, format inconsistencies, outliers, and duplicates.

Note: In the funnel, GoldenCheck runs at the front of the pipeline — profiling each source as it lands so the matcher (GoldenMatch) gets clean input. Self-host it with pip install goldencheck, or let the hosted Workbench run it for you.

Basic Usage

import goldencheck

report = goldencheck.profile("data.csv")
print(report.summary())

Try It

import goldencheck
report = goldencheck.profile("data.csv")
print(report.summary())

Report Fields

Warning: Large files (>1M rows) may take several minutes to profile. Use sample_size to profile a subset.