sdv-dev/Copulas
A library to model multivariate data using copulas.
Supports multiple copula families (Gaussian, Vine, Archimedian) with full access to learned distribution parameters for inspection and tuning. Includes built-in comparison visualizations (1D histograms, 2D/3D scatterplots) to validate synthetic data quality against originals. Integrates with the broader Synthetic Data Vault ecosystem for end-to-end synthetic data generation and evaluation workflows.
634 stars and 234,851 monthly downloads. Used by 4 other packages. Actively maintained with 2 commits in the last 30 days. Available on PyPI.
Stars
634
Forks
118
Language
Python
License
—
Category
Last pushed
Mar 09, 2026
Monthly downloads
234,851
Commits (30d)
2
Dependencies
4
Reverse dependents
4
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