  As data are generated more and more from multiple disparate sources,
multiview data sets, where each sample has features in distinct views, have
ballooned in recent years. However, no comprehensive package exists that
enables non-specialists to use these methods easily. mvlearn is a Python
library which implements the leading multiview machine learning methods. Its
simple API closely follows that of scikit-learn for increased ease-of-use. The
package can be installed from Python Package Index (PyPI) and the conda package
manager and is released under the MIT open-source license. The documentation,
detailed examples, and all releases are available at
https://mvlearn.github.io/.
