Multifractal Detrended Fluctuation Analysis in Python

python package for DFA (Detrended Fluctuation Analysis) and related algorithms

Application of the MultiFractal Detrended Fluctuation Analysis to Time Series

Tools (C/Matlab) for multifractal analysis of 1D (time-series) and 2D (images) signals

This is a plugin for ImageJ2 for multifractal analysis of 2D and 3D images. Cite: MULTIFRAC: An ImageJ plugin for multiscale characterization of 2D and 3D stack images . IG Torre, R. J. Heck and AM Tarquis. SoftwareX, 12, 100574.

a wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.

Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals

Time series analysis codes used in the company's data science projects.

Software appplication for multifractal analysis on complete genomes (DNA and protein) using the sand-box method

A Python library for performing 1D and 2D multifractal analysis using the Detrended Moving Average (DMA) method. Supports multifractal spectrum estimation with customizable parameters for in-depth data analysis.

This is a project related to multifractality in random networks and spatial long-range analysis.

A high-performance Python toolkit for the analysis of multifractal time series and complex systems

Toolbox for conducting multifractal analysis of time series data using Julia

Statistical and multifractal analysis of early warning signals in financial time series with hourly data in Python 3 for bachelor's diploma

The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py

Scripts for tumor microenvironment metabolic network analysis: random flux sampling of genome-scale models and multifractal geometric topology of metabolic graphs

Models of Bak-Tang-Wiesenfeld, Manna, Feders and stochastic Feders sand piles on cellular automaton and random graphs in Python 3

End-to-End Python implementation of the computational toolkit for financial market complexity analysis from "Complexity of Financial Time Series: Multifractal and Multiscale Entropy Analyses" (2025). Implements cutting-edge entropy and fractal methods to quantify asset predictability, nonlinear correlations, and multifractal scaling properties.

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)