Statistical Modeling Python Packages

bambi

BAyesian Model-Building Interface (Bambi) in Python.

conjugate-models

Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.

gallop-pds

🐎 Agentic riding for product data scientists.

gp3bayespy

Contract-first Bayesian workflows for hierarchical behavioural data, posterior validation, predictive diagnostics, sensitivity analysis, PSIS-LOO, reproducibility, and dynamic pupillometry.

heavytails

heavytails is a Python library implementing heavy-tailed probability distributions, built from first principles with NumPy-backed vectorized evaluation. The library provides comprehensive support for continuous and discrete heavy-tailed distributions, tail index estimation methods, and diagnostic utilities

priorityx

Entity prioritization and escalation detection using GLMM statistical models

logit-graph

Fit, simulate, and compare logit graph models using spectral GIC

olspow

Python package for conducting power analysis for experiments using regression and/or clustered data.

chunked-ed

This package was developed to make Energy Distance estimation more memory-efficient by computing pairwise distances in blocks rather than all at once.

relationalstats

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

pydistcore

The interface library for probabilistic modeling in HEP