GoldenCheck
Data quality profiling and validation.
GoldenCheck profiles your data and identifies quality issues — missing values, format inconsistencies, outliers, and duplicates.
Basic Usage
import goldencheck
report = goldencheck.profile("data.csv")
print(report.summary())
Try It
goldencheck demo
import goldencheck
report = goldencheck.profile("data.csv")
print(report.summary())Report Fields
| Metric | Description |
|---|---|
completeness | Percentage of non-null values per column |
uniqueness | Percentage of unique values per column |
consistency | Format consistency score |
validity | Values matching expected patterns |
outliers | Statistical outlier count |
Warning: Large files (>1M rows) may take several minutes to profile. Use
sample_sizeto profile a subset.