DASPy

DASPy is an open-source Python package for Distributed Acoustic Sensing (DAS) data processing.

The project aims to lower the barrier for DAS processing and to provide a practical toolkit for DAS seismology workflows.

Features

DASPy includes:

• Classic seismic processing: preprocessing, filtering, spectral analysis, and visualization.
• DAS-oriented algorithms: denoising, wavefield decomposition, channel analysis, and strain-velocity conversion.
• Convenient data structures: Section, Collection, and DASDateTime for waveform, continuous acquisition, and time handling workflows.

Documentation

• English tutorial: https://daspy-tutorial.readthedocs.io/en/latest/
• 中文教程: https://daspy-tutorial-cn.readthedocs.io/zh-cn/latest/
• Example notebook: document/example.ipynb

Installation

DASPy supports Python 3.9+ on Linux, macOS, and Windows.

pip

Install from PyPI:

pip install daspy-toolbox

Install the latest development version:

pip install git+https://github.com/HMZ-03/DASPy.git

conda

conda install conda-forge::daspy-toolbox

If you are using Python 3.13 or later, installation through conda may fail because segyio is not yet available for all conda-forge builds. In that case, use pip or Python 3.12 and earlier.

Manual installation

1. Install dependencies: numpy, scipy>=1.13, matplotlib, geographiclib, pyproj, h5py, segyio, nptdms, tqdm.
2. Add DASPy to your Python path, or install it in editable mode:

git clone https://github.com/HMZ-03/DASPy.git
cd DASPy
pip install -e .

Quick start

from daspy import read

sec = read()  # load the built-in example waveform
sec.bandpass(1, 15)
sec.plot()

Contributing

Contributions are welcome. Please see CONTRIBUTING.md.

Reference

• Minzhe Hu and Zefeng Li (2024), DASPy: A Python Toolbox for DAS Seismology, Seismological Research Letters, 95(5), 3055–3066, doi: https://doi.org/10.1785/0220240124.

Contact

If you have questions, please contact hmz2018@mail.ustc.edu.cn.