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APASVO 0.0.2

A graphical tool to perform event detection/picking in seismic traces.

Latest Version: 0.0.6

A graphical tool to perform event detection/picking in seismic traces.

Main Features

  • Three different picking algorithms available: STA-LTA [1], AMPA [2] and Takanami’s autoregressive method [3].
  • Proper functionality from DSP tools: scrolling, zooming, panning, playbacking…
  • Signal envelope, spectrogram and estimated characteristic function visualization.
  • Manually editing of picked seismic events or picking new ones.
  • Detect mode: Find all characteristic function’s peaks which value is over a threshold value.
  • Support for text/binary files containing seismic traces.
  • Save picked events to CSV format, and characteristic function to text/binary file format.
  • Two additional command line tools: An event picking/detection tool and a synthetic earthquake generator [4].



A prebuilt version of APASVO for Windows is available, compatible with 32-bit and 64-bit machines. You can download it here.

Prebuilt package contains all the required software dependencies to work. Just unzip its contents into a directory of your choice and then you can start using the application.


Option 2: Installation from Pypi


Installing from PyPI is a long and delicate process that involves installing several large libraries and their dependencies, so it is discouraged unless you are confident about installing python applications with multiple dependencies from source. In any case, PREBUILT PACKAGES ARE THE RECOMMENDED WAY OF INSTALLING APASVO.


Make sure you have Python 2.7.x installed. Then, install the latest pip distribution.

Installation of required dependencies

APASVO depends on a list of Python packages, which you can check in the project’s requirements.txt file. These packages are automatically installed when APASVO is installed from Python repositories by using pip or from source code via setuptools.

However, some of these packages, namely Matplotlib and PySide, require installation of a number of additional dependencies. If you’re on a Debian / Ubuntu system, you can install these dependencies using the command:

$ sudo apt-get build-dep python-pyside python-matplotlib

Or if you are in Fedora/RedHat, first install yum-builddep and then use the command:

$ su -c "yum-builddep python-pyside python-matplotlib"

You can install the latest version of APASVO from Python repositories by using the command:

$ pip install --use-wheel apasvo

Option 3: Installation from source

First, make sure you meet the requirements explained in Prerequisites and install the needed dependencies as explained in Installation of required dependencies section.

Then, download the latest version from GitHub. If you have git installed, you can use the following command:

$ git clone

Finally, enter the newly created directory containing the source code and run:

$ python install


Sorry, but no precompiled version for OS X is available yet. You can try to install it from Python repositories or from source by following a similar procedure to that described for Linux.


Licensed under the GPLv3 license.


José Emilio Romero López.


[1]Trnkoczy, A. (2002). Understanding and parameter setting of STA/LTA trigger algorithm. IASPEI New Manual of Seismological Observatory Practice, 2, 1-19.
[2]Álvarez, I., García, L., Mota, S., Cortés, G., Benítez, C., & De la Torre, A. (2013). An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing. Geoscience and Remote Sensing Letters, IEEE, Volume: 10, Issue: 6, pp. 1488 - 1492
[3]Takanami, T., & Kitagawa, G. (1988). A new efficient procedure for the estimation of onset times of seismic waves. Journal of Physics of the Earth, 36(6), 267-290.
[4]Peterson, Jon. “Observations and modeling of seismic background noise.” (1993): 93-95.


  • 0.0.2 (2014-06-02)
    • Fixed several bugs.
    • Improve installation files.
  • 0.0.1 (2014-05-16)

File Type Py Version Uploaded on Size
APASVO-0.0.2-py2-none-any.whl (md5) Python Wheel 2.7 2014-06-02 179KB
APASVO-0.0.2.tar.gz (md5) Source 2014-06-02 159KB