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Eco-acoustics data visualization and analysis

Project description

maui-software

maui-softwre logo

maui-software is an open-source Python package to visualize eco-acoustic data. This work intends to help ecology specialists to perform data analysis with no need to implement visualizations, enabling faster analysis.

Project Status: Active – The project has reached a stable, usable state and is being actively developed. Codacy Badge Codacy Badge

Operating Systems

maui-software was tested on the following operating systems:

  • Windows
  • Ubuntu

Dependencies

  • python = >=3.9,<3.13
  • scikit-maad = ^1.3.0
  • plotly = ^5.16.1
  • tqdm = ^4.66.1
  • fpdf = ^1.7.2
  • audioread = ^3.0.0
  • pandas = >=1.5
  • numpy = >= 1.21
  • kaleido = 0.2.1
  • pyyaml = ^6.0.1
  • matplotlib = ^3.8.3
  • gdown = ^5.2.0
  • pydub = ^0.25.1
  • objgraph = ^3.6.1
  • pyarrow = ^17.0.0
  • fastparquet = ^2024.5.0
  • pypalettes = ^0.1.3

Installation

$ pip install maui-software

Quick Start

To use maui-software, one must have a single audio file or, preferencially, a set of audio files and load them as follows:

from maui import io
audio_dir = 'PATH_TO_DIRECTORY'
df = io.get_audio_info(audio_dir, store_duration=1, perc_sample=0.01)

df

Acknowledgements

Special thanks to the spatial ecology and conservation laboratory (LEEC, in portuguese) at São Paulo State University (UNESP, in portuguese) for the data set provided and expert support.

Also, maui-software uses scikit-maad to calculate acoustic indices and spectrograms from audio. We finally acknowledge the financial support of FAPESP (The State of São Paulo Research Foundation) Grant # 2021/08322-3.

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