Statistical package in Python based on Pandas

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Tidy data frames and expressions with statistical summaries 📜

Learning kernels to maximize the power of MMD tests

Umbrella package of the 'spatstat' family................

Testing common random-number generators (RNG)

Ruby gem for some statistical operations without any statistical language dependency

Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.

Improved version of the NIST Statistical Test Suite (STS)

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

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

NeurIPS 2016. Linear-time interpretable nonparametric two-sample 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

The Scott-Knott Effect Size Difference (ESD) test

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

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