Information Theory Python Packages

infomap

Multi-level network clustering based on the Map Equation

dit

Python package for information theory.

corextopic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

komm

An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.

entropyhub

An open-source toolkit for entropic data analysis.

kxy

A toolkit to boost the productivity of machine learning engineers.

infomeasure

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

driada

Dimensionality Reduction for Integrated Activity Data Analysis

thoi

THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing

lempel-ziv-complexity

:package: Lempel-Ziv Complexity, fast implementations with :snake: Python (naive, Numba or Cython for speedup), Open-Source (MIT) :+1: →

spkit

Signal Processing Toolkit, including ML models with visualization

conaction

A package for studying how things change together.

rgclib

Python wrapper for the C implementation of Recursive Group Coding (RGC)

arithmetic-compressor

Arithmetic coding library with statistical models like PPM and Context mixing (demonstrating core principles of probabilistic inference, ensemble learning in AI)

ennemi

Easy Nearest Neighbor Estimation of Mutual Information

nous-state

Probabilistic agent state layer. Bayesian belief tracking, surprise-driven updates, and immutable delta logs for AI agents that need to remember correctly over time. Paper: arXiv:2606.22030

p4j

Periodic time series analysis tools based on information theory

copent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

frites

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

dstz

A python package of evidence theory

depynd

Evaluating dependencies among random variables.

infotopo

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

causationentropy

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

psitip

Python Symbolic Information Theoretic Inequality Prover