Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
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Updated
Oct 16, 2026 - Python
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact us.
Materials to reproduce the paper "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis"
Multi-Fractal Detrended Fluctuation Analysis (MFDFA) for fractal and long-range correlation analysis of time series
Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).
A MATLAB code for fractal analysis of EEG signals
Time series analysis codes used in the company's data science projects.
GeoSync — verification-first research infrastructure for falsifiable market-structure hypotheses, with explicit data contracts, null baselines, and replayable evidence.
In this project, we demonstrate the fractal dimension (FD) and manual segmentation of the Magnetic Resonance Imaging (MRI) of the heart that quantify amount of trabeculae inside the heart.
GeoSync — verification-first infrastructure for geometric market-structure research: falsifiable hypotheses, invariant-bound claims, reproducible artifacts, and strict non-alpha governance.
Fractal System Model (FSM) Framework - Universal Emergence Theory Patterns
fractalVideoGuard
Exact vector geometry box-counting & fractal dimension (Db) engine for SVG motifs, textile design & architecture.
Open-Source Intelligence Framework for High-Precision Fractal Tomography and Real-Time Seismic Monitoring. Topics: seismology, fractal-analysis, python, open-science, earthquake-forecasting, topological-data-analysis
Reproducible Python pipeline testing fractal, multifractal and Fibonacci/Elliott-wave claims in financial markets against stochastic benchmarks.
Automated ImageJ/Fiji workflow for fractal dimension analysis, skeleton analysis, and quantitative image preprocessing.
GeoFractBox1D is an open-source QGIS Processing tool for estimating one-dimensional fractal dimension of 1D spatial data and time-series using the classical box-counting method. It produces reproducible metrics including fractal dimension (D), scaling range, regression statistics, and diagnostic plots.
Those methods are useful, when one want to preprocess images that looks like textures
6-month learning journey from basic math to multifractal analysis (MF-DFA) of financial markets
Reproducible R & Python workflow for fractal analysis of seismicity: box-counting (D0) and correlation (D2) dimensions, fault-network dimension, and maximum-likelihood Gutenberg–Richter b-value, with Mc selection and Gardner–Knopoff declustering. Case study: Marmara region, North Anatolian Fault Zone.
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