dataxid-syntheval 0.2.0

Synthetic data quality evaluation with Polars-native performance and interactive HTML reports.

dataxid-syntheval

Synthetic data quality evaluation — compare original and synthetic datasets with interactive HTML reports.

Quickstart

import polars as pl
from dataxid_syntheval import SynthEval

original = pl.read_csv("original.csv")
synthetic = pl.read_csv("synthetic.csv")

se = SynthEval(original=original, synthetic=synthetic)
se.to_html("report.html")

Programmatic access:

diffs = se.diff
diffs["column_diffs"]          # per-column stat deltas
diffs["alert_diff"]            # new / resolved alerts
diffs["distribution_overlays"] # histogram & frequency overlays
diffs["correlation_diffs"]     # correlation matrix differences

Quality Scores

Compute fidelity and privacy metrics with a holdout dataset:

import polars as pl
from dataxid_syntheval import SynthEval

original = pl.read_csv("train.csv")
synthetic = pl.read_csv("synthetic.csv")
holdout = pl.read_csv("holdout.csv")

se = SynthEval(original=original, synthetic=synthetic, holdout=holdout)

scores = se.scores
scores.fidelity                    # overall fidelity (%)
scores.fidelity_detail.univariate  # univariate accuracy (%)
scores.fidelity_detail.bivariate   # bivariate accuracy (%)
scores.fidelity_detail.per_column  # per-column breakdown

scores.privacy.dcr_share           # DCR share
scores.privacy.ims_training        # identical match share
scores.privacy.nndr_ratio          # NNDR ratio
scores.privacy.assessments         # descriptive text assessments

Privacy metrics require a holdout dataset. Without holdout, se.scores.privacy is None.

Features

• Column-level stat comparison — mean, std, median, min/max, missing %, distinct count and more
• Alert change detection — new and resolved data quality alerts between profiles
• Distribution overlays — proportion-based histograms and categorical frequency charts for fair comparison across different dataset sizes
• Correlation matrix diffs — Pearson, Spearman, Kendall, Cramér's V, Phik
• Interactive HTML report — tabbed column comparison, ECharts visualizations, lazy chart rendering
• Built on dataxid-profiling and Polars

Installation

pip install dataxid-syntheval

Contributing

Contributions are welcome. See CONTRIBUTING.md for details.

Links

• Changelog
• GitHub Issues
• dataxid-profiling

License

Apache-2.0