Chaos Python Packages

entropyhub

An open-source toolkit for entropic data analysis.

dapper

Data Assimilation with Python: a Package for Experimental Research

da-dapper

DAPPER benchmarks the performance of data assimilation (DA) methods.

izen

encapsulation of some useful features

orbithunter

Framework for nonlinear dynamics and chaos

ychaos

YChaos - The Resilience Framework by Yahoo!

hundun

🦋 hundun is a python library for the exploration of chaos.

chaosmath

A Python math library where π lies, calculus panics, and every function has an excuse — chaos guaranteed.

pynamical

Model, simulate, and visualize discrete nonlinear dynamical systems

blockade

Docker-based utility for testing network failures and partitions in distributed applications

tp-chaos-generator

A library for encryption and decryption using a triple-pendulum based chaos generator

frequency-max-power

A Python library for calculating frequency_max_power

spectral-centroids

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

peccary

Package for identifying regular, complex, and stochastic behavior in timeseries

spectral-edge-density

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

spectral-entropy-signals

A Python library for calculating spectral entropy

lorenzpy

A Python package to simulate and measure chaotic dynamical systems.

stftsignal

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

transfer-entropy-all-signals

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

pyenfra

A Python package for fractal and complexity analysis of time series.

mfdfa1000hz

A Python library for calculating MFDFA for 1000hz

transfer-entropy-regional

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

transfer-entropy-hemispheric

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

welchspsd

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers