Autocurator is a comprehensive benchmarking toolkit for evaluating synthetic tabular data. It measures fidelity, coverage, privacy, and utility through quantitative metrics, visual reports, and PCA/correlation diagnostics. Ideal for validating VAE, GAN, Copula, or Diffusion-generated datasets.

🔍 Evaluate synthetic data quality against real tabular datasets with Autocurator, measuring fidelity, coverage, privacy, and utility through clear metrics and visual reports.