sdv-dev/Copulas
A library to model multivariate data using copulas.
This tool helps data scientists and analysts understand and replicate the statistical relationships within their numerical datasets. You provide a table of numerical data, and it learns the underlying multivariate distribution. The output is new, synthetic data that mimics the statistical properties of your original dataset, allowing for further analysis or testing without using sensitive real data.
634 stars. Used by 4 other packages. Actively maintained with 2 commits in the last 30 days. Available on PyPI.
Use this if you need to generate realistic-looking synthetic numerical data that preserves the complex statistical dependencies of your original dataset.
Not ideal if your data is primarily categorical, textual, or time-series, as this tool focuses on modeling multivariate numerical distributions.
Stars
634
Forks
118
Language
Python
License
—
Category
Last pushed
Mar 09, 2026
Commits (30d)
2
Dependencies
4
Reverse dependents
4
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