Probability Python Packages

stochastic

Generate realizations of stochastic processes in python.

zuko

Normalizing flows in PyTorch

pyprobables

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

aeppl

Tools for an Aesara-based PPL.

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

aeppl-nightly

Tools for an Aesara-based PPL.

icepool

Python dice probability package.

bayesian-testing

Bayesian A/B testing

pydtmc

A library for discrete-time Markov chains analysis.

probixi

Self-Calibrating Probabilistic Peak Detection for Serial X-Ray Crystallography

aggregate

Tools for creating and working with aggregate probability distributions.

aniate

Approximate Numerics in Applied Transition Environments: finite MDPs and history-dependent decision problems in Python

compiled-knowledge

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.

gibbus

Flexible analytic log-concave distributions fitted by maximum likelihood, with support-aware modeling and optional mixtures for multimodal data.

uqpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

copulax

JAX-based copula modelling

tydex

Typed decision primitives for LLMs: choice, score, and yes/no with calibrated probabilities, confidence-based escalation, and an HTTP API.

pyimpetus

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

cappr

Completion After Prompt Probability. Make your LLM make a choice

pertdist

Python utilities for the PERT distribution with sampling and moments

probcal

Universal post-hoc probability calibration for binary classifiers: methods, metrics, diagnostics, and auditable offsetting — numpy-only.

aleatory

📦 Python library for Stochastic Processes Simulation and Visualisation

rft1d

One-Dimensional Random Field Theory in Python