hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.
hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
hyppo requires the following:
The easiest way to install hyppo is using
pip install hyppo
To upgrade to a newer release, use the
pip install --upgrade hyppo
See the release notes for a history of notable changes to hyppo.
We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.
Official source code: https://github.com/neurodata/hyppo/tree/main/hyppo
Download releases: https://pypi.org/project/hyppo/
Issue tracker: https://github.com/neurodata/hyppo/issues
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind are welcome!
hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.