Statsmodels Python Packages

pymars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

mixedlm-rs

Fast linear mixed-effects models for Python - lme4 speed, statsmodels API, no R required

statstests

Statstests: a Python package that provides a complement of process and statistical tests for statsmodels statistical models.

edgar-analytics

EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.

statskeptic

An autonomous data-analysis agent that red-teams its own conclusions and reports what it cannot prove.

sclblpy

Python package for Scailable uploads

pymmeans

Estimated marginal means, contrasts, and small-sample mixed-model inference for Python — a native port of R's emmeans and pbkrtest.

iohmm

Input Output Hidden Markov Model (IOHMM) in Python

foresee

Generate forecasts using several time series forecasting models

regdiag

One-line R-style regression diagnostic plots for statsmodels & scikit-learn — with an honest fallback for black-box models.

statsassume

Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

stock-analyser

Simple to use interfaces for basic technical analysis of stocks.

relationalstats

A practical Python toolkit for applied and statistical social network analysis, with research-grade documentation and transparent methodological boundaries.