thebeat: A Python package for working with rhythms and other temporal sequences

Area of Science:

• Behavioral and Cognitive Sciences
• Bioacoustics
• Computational Neuroscience

Background:

• Researchers in behavioral science and bioacoustics often require specialized tools for analyzing temporal sequences and rhythms.
• Existing methods for temporal data analysis can be complex and time-consuming to implement.
• There is a need for accessible, flexible, and integrated software solutions to facilitate timing research.

Purpose of the Study:

• To introduce thebeat, a novel Python package for the analysis of temporal sequences and rhythms.
• To provide researchers with a user-friendly tool for generating experimental stimuli and analyzing temporal data.
• To establish a foundation for standardized methods in timing research through an open-source platform.

Main Methods:

• Thebeat package offers functions for generating experimental stimuli, sequences, sounds, and trials.
• It includes tools for calculating common rhythmic measures, such as interval ratios.
• Visualization capabilities include generating plots like circular histograms.

Main Results:

• Thebeat enables the creation and analysis of temporal data with simple code, saving researchers time.
• The package facilitates the generation of experimental stimuli and the calculation of rhythmic measures.
• It integrates seamlessly with the broader Python ecosystem for custom script development.

Conclusions:

• Thebeat provides a robust and flexible foundation for temporal sequence and rhythm analysis.
• Its design caters to both novice and expert programmers, promoting wider adoption in research.
• The package supports the development and integration of standardized methods in timing research across various scientific fields.