{"library":"copulas","type":"library","category":null,"description":"Copulas is a Python library for modeling multivariate distributions and sampling from them using copula functions. It enables users to learn the dependence structure from tabular numerical data and generate new synthetic data with similar statistical properties, offering various univariate distributions, Archimedian, Gaussian, and Vine Copulas. As part of The Synthetic Data Vault Project by DataCebo, it is actively maintained with regular updates.","language":"python","status":"active","version":"0.14.1","tags":["synthetic data","copula","multivariate distribution","data generation","statistical modeling","data science"],"last_verified":"Mon May 25","install":[{"cmd":"pip install copulas","imports":["from copulas.datasets import sample_trivariate_xyz","from copulas.multivariate import GaussianMultivariate","from copulas.visualization import compare_3d"]},{"cmd":"conda install -c conda-forge copulas","imports":[]}],"homepage":"https://sdv.dev","github":"https://github.com/sdv-dev/Copulas","docs":null,"changelog":"https://github.com/sdv-dev/Copulas/blob/main/HISTORY.md","pypi":"https://pypi.org/project/copulas/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":14,"avg_import_s":2.88,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/copulas/compatibility"}}