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We have implemented an extension for the observational seismology obspysoftware package to provide a streamlined tool tailored to the processing ofseismic signals from non-earthquake sources, in particular those from deformingsystems such as glaciers and landslides. This seismic attributes libraryprovides functionality to: (1) download and/or pre-process seismic waveformdata; (2) detect and catalogue seismic events using multi-component signalsfrom one or more seismometers; and (3) calculate characteristics('attributes'/'features') of the identified events. The workflow is controlledby three main functions that have been tested for the breadth of data typesexpected from permanent and campaign-deployed seismic instrumentation. Aselected STA/LTA-type (short-term average/long-term average), or other, eventdetection algorithm can be applied to the waveforms and user-defined functionsimplemented to calculate any required characteristics of the detected events.The code is written in Python 2/3 and is available on GitHub together withdetailed documentation and worked examples.

An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis