Overview of hyppo

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hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing.


With the increase in the amount of data in many fields, a method to consistently and efficiently decipher relationships within high dimensional data sets is important. Because many modern datasets are multivariate, univariate tests are not applicable. Many multivariate hypothesis tests also have R packages available, but the interfaces are inconsistent and most are not available in Python. hyppo is an extensive Python library that includes many state of the art multivariate hypothesis testing procedures using a common interface. The package is easy-to-use and is flexible enough to enable future extensions.


Python is a powerful programming language that allows concise expressions of network algorithms. Python has a vibrant and growing ecosystem of packages that hyppo uses to provide more features such as numerical linear algebra and plotting. In order to make the most out of hyppo you will want to know how to write basic programs in Python. Among the many guides to Python, we recommend the Python documentation.

Free software

hyppo is free software; you can redistribute it and/or modify it under the terms of the Apache 2.0. We welcome contributions. Join us on GitHub.


hyppo is a rebranding of mgcpy, which was founded in September 2018. The original version was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. This new version was written by Sambit Panda.

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