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).

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.

statstests

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

pymmeans

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

regdiag

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

sclblpy

Python package for interacting with our API.

relationalstats

Practical and statistical social network analysis tools for Python.

iohmm

A python library for Input Output Hidden Markov Models

stock-analyser

Simple to use interfaces for basic technical analysis of stocks.

foresee

Generate forecasts using several time series forecasting models in python.

statsassume

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

pyassume

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

fold-wrappers

🧱 Wrappers for 3rd party models to be used with fold (https://github.com/dream-faster/fold)