Pingouin is a statistical package for Python designed to provide simple yet comprehensive functions for commonly used statistical tests. Built on NumPy, SciPy and pandas, it returns detailed results in convenient DataFrames and covers classical, robust and Bayesian statistics.

This is free and open source software.

• One-way, N-way, repeated measures and mixed-design ANOVA.
• ANCOVA and Welch ANOVA.
• Parametric and non-parametric pairwise tests.
• Pearson, Spearman, robust, partial and repeated measures correlations.
• Linear and logistic regression.
• Mediation analysis.
• Bayes factors for several statistical tests.
• Multivariate statistical tests.
• Reliability and consistency analysis.
• Effect sizes and statistical power calculations.
• Parametric and bootstrapped confidence intervals.
• Normality and homoscedasticity tests.
• Circular statistics.
• Chi-squared tests.
• Bland-Altman, Q-Q, paired and robust correlation plots.
• Results returned as pandas DataFrames for easy subsequent analysis.

Website: github.com/raphaelvallat/pingouin
Support:
Developer: Raphael Vallat
License: GNU General Public License v3.0

Pingouin is written in Python. Learn Python with our recommended free books and free tutorials.

Read our verdict in the software roundup.

Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.

This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.

You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more.

Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form.