Synthia

What it does

Data integration

Synthia's API natively handles xarray labelled arrays and datasets.checked 4 Oct 2026

Distribution

The package can be installed with pip install synthia, or with pip install synthia[full] to include the optional dependency.checked 4 Oct 2026

Example use

The quickstart demonstrates generating synthetic atmospheric temperature profiles using Gaussian copula and fPCA models.checked 4 Oct 2026

Generation methods

It supports fPCA, Gaussian copula, and vine copula methods for multivariate data generation.checked 4 Oct 2026

Implementation

The fPCA and Gaussian copula implementations are in Python, while vine computations use pyvinecopulib bindings to the C++ vinecopulib library.checked 4 Oct 2026

Intended users

It is designed for scientists and practitioners working with labelled multivariate data typical of computational sciences.checked 4 Oct 2026

License

Synthia is licensed under the MIT License, which permits use, copying, modification, distribution, sublicensing, and sale subject to its stated conditions.checked 4 Oct 2026

Optional dependency

pyvinecopulib is an optional dependency for vine copula and quasirandom number support.checked 4 Oct 2026

Purpose

Synthia is an open source Python package for modeling univariate and multivariate data, parameterizing data, and manipulating marginal distributions.checked 4 Oct 2026

Requirements

Installation requires Python 3.8 or later, NumPy, SciPy, and xarray.checked 4 Oct 2026

Variable types

The documentation says its methods support continuous variables and vine copulas also support discrete and categorical variables.checked 4 Oct 2026

Warranty

The MIT license states that the software is provided as is and disclaims warranties and liability as specified in the license.checked 4 Oct 2026