Bayesian Python Packages

arviz

Exploratory analysis of Bayesian models with Python

pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

pydlm

A python library for Bayesian time series modeling

orbit-ml

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

lightweight-mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

nested-fit

Bayesian data analysis code for evidence and probability distribution calculation based on nested sampling algorithm

bsts-causalimpact

Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow

changepoint

A toolkit for Bayesian change point detection

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

aelfrice

Bayesian memory that learns from feedback for LLM agents

btrack

Bayesian multi-object tracking

satrank

Trust scores for Lightning agents. The PageRank of the agentic economy.

bocd

Bayesian Changepoint Detection

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

fastrvm

Relevance Vector Machine in Python with a C++ Core

argus-debate-ai

Debate-native multi-agent AI framework that eliminates LLM hallucination, overconfidence, and opacity. Structures knowledge evaluation as adversarial multi-round debates over a Conceptual Debate Graph (C-DAG) with Bayesian aggregation, CRUX protocol, 8 novel Evolution extensions, 27+ LLM providers, 50+ tools, and W3C-compliant provenance tracking.

brmspy

Python-first access to R's brms with proper parameter names, ArviZ support, and cmdstanr performance

pyepidag

Epidemiological inference with DAG

lirisimpact

Repository contaning the original code of IMPACT algorithm, an interpretable model for ordinal predictions with multi-class outputs"

actuarcredibility

Credibility models for actuarial pricing: Bühlmann, Bühlmann-Straub, Jewell, Hachemeister, and Bayesian extensions.

biolith

Bayesian Ecological Modeling in Python

scorio

Bayesian evaluation and ranking toolkit

blayers

The missing layers package for Bayesian inference

insurance-whittaker

Whittaker-Henderson smoothing for insurance pricing and actuarial rating tables: 1D and 2D graduation with automatic lambda selection via cross-validation.