Statistical package in Python based on Pandas

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Learning kernels to maximize the power of MMD tests

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Hypothesis and statistical testing in Python

Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

Statistical inference on machine learning or general non-parametric models

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

**curve_fit_utils** is a Python module containing useful tools for curve fitting

Significance tests of feature relevance for a black-box learner

ICML 2017. Kernel-based adaptive linear-time independence test.

Statistical tests for Value at Risk (VaR) Models.

Machine learning library for classification tasks

Python package for Bayesian & Frequentist A/B Testing

Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples

Open-source statistical package in Python based on Pandas

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.

python package for generating compact letter display, summarizing results of posthoc comparison tests after ANOVA

The AutoMLQuantILDetect package utilizes AutoML approaches to accurately detect and quantify system information leakage. We also provide different approaches to estimate mutual information (MI) within systems that release classification datasets to quantify system information leakage.

Statistical plotting with good aesthetics.