Statistical Tests Python Packages

pingouin

Statistical package in Python based on Pandas

popmon

Monitor the stability of a Pandas or Spark dataframe ⚙︎

nlptoolkit-classification

Machine learning library for classification tasks

nlptoolkit-classification-cy

Machine learning library for classification tasks

macrostat

A Package providing multiple tools for the statistical analysis and treatment of macroeconomic simulation models, with a particular focus on Agent-based and Stock-Flow Consistent Models

vartests

Statistical tests for Value at Risk (VaR) Models.

exploripy

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

financial-data-validation

Statistical validation for synthetic financial time series.

statmanager-kr

Open-source statistical package in Python based on Pandas

polars-statistics

High-performance statistical testing and regression for Polars DataFrames, powered by Rust.

dnn-inference

Significance tests of feature relevance for a black-box learner

causal-falsify

causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.

compactletterdisplay

A compact letter display implementation in Python, which summarizes results of posthoc comparisons.

roses

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python

neural-trees

sklearn-compatible PyTorch implementations of Soft Decision Trees, HMoE, and classifier comparison tests (5×2cv F-test). pip install neural-trees

confound-prediction

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

statistical-plot

Statistical plotting with good aesthetics.

plotastic

Streamlining statistical analysis by using plotting keywords in Python.

pyab

A/B Testing using Bayesian & Frequentist Statistics

statstical-plot

Statistical plotting with good aesthetics.