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A Python package for comparing groups and measuring associations using robust statistics.

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status tests PyPI version PyPI - Downloads license

A Python package for hypothesis testing using robust statistics

Basic Example

A robust measure of association with winsorized correlation

from hypothesize.measuring_associations import wincor
from hypothesize.utilities import create_example_data

# creating an example DataFrame with columns "cell_1" and "cell_2"

results=wincor(df.cell_1, df.cell_2)

# returning the correlation, number of observations, p-value, and winsorized covariance
{'cor': 0.11, 'nval': 50, 'sig': 0.44, 'wcov': 0.01}


:book: Please visit the Hypothesize documentation site. Note that each statistical test in the can be launched directly in Deepnote's hosted notebook environment—complete with sample data (as shown in the example above 👆).

Citing Hypothesize


If you use Hypothesize in academic work, please use the following citation:

Campopiano, A., & Wilcox, R. R. (2020). Hypothesize: Robust Statistics for Python. Journal of Open Source Software, 5(50), 2241,


  doi = {10.21105/joss.02241},
  url = {},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {50},
  pages = {2241},
  author = {Allan Campopiano and Rand R. Wilcox},
  title = {Hypothesize: Robust Statistics for Python},
  journal = {Journal of Open Source Software}

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