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.

sclblpy

Python package for interacting with our API.

stock-analyser

Simple to use interfaces for basic technical analysis of stocks.

iohmm

A python library for Input Output Hidden Markov Models

foresee

Generate forecasts using several time series forecasting models

statsassume

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)

pyassume

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