pyBOAT - A Biological Oscillations Analysis Toolkit

Tools for time-frequency analysis of noisy time series. More details can be found in the accompanying manuscript Optimal time frequency analysis for biological data - pyBOAT. For help, questions or comments please join the official chat on gitter, write an issue or start a discussion.

pyBOAT features a multi-layered graphical user interface. Here an example screenshot showing the DataViewer(left), where preprocessing of individual signals gets visualized, and the resulting Wavelet Spectrum with a ridge tracing the detected main oscillatory component with a $\sim$ 24h period (right):

Features

• x-platform GUI
• High-pass sinc filter
• Fourier analysis
• Wavelet analysis
• Ridge detection, phase and amplitude extraction
• Synthetic signal generator
• Batch processing
• Ensemble statistics

See also the sister project SpyBoat for spatially resolved time-frequency analysis with wavelets.

Documentation

• Installation and Updates
• Quick Start

For the public API see the single signal demonstration and the ensemble statistics example. Consult the respective Python docstrings for further details.

Quick install via command line

With pip:

pip install pyboat

or with conda:

conda install -c conda-forge pyboat

Then start the UI from the terminal:

pyboat

or use import pyboat in your Python scripts.