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| Titel |
ObsPy: A Python Toolbox for Seismology |
| VerfasserIn |
Lion Krischer, Tobias Megies, Elliott Sales de Andrade, Robert Barsch, Jonathan MacCarthy |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250152271
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| Publikation (Nr.) |
 EGU/EGU2017-17089.pdf |
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| Zusammenfassung |
| In recent years the Python ecosystem evolved into one of the most powerful and productive
scientific environments across disciplines. ObsPy (https://www.obspy.org) is a fully
community-driven, open-source project dedicated to providing a bridge for seismology into
that ecosystem. It does so by offering
Read and write support for essentially every commonly used data format
in seismology with a unified interface and automatic format detection. This
includes waveform data (MiniSEED, SAC, SEG-Y, Reftek, …) as well as station
(SEED, StationXML, …) and event meta information (QuakeML, ZMAP, …).
Integrated access to the largest data centers, web services, and real-time data
streams (FDSNWS, ArcLink, SeedLink, ...).
A powerful signal processing toolbox tuned to the specific needs of
seismologists.
Utility functionality like travel time calculations with the TauP method, geodetic
functions, and data visualizations.
ObsPy has been in constant development for more than seven years and is developed and
used by scientists around the world with successful applications in all branches of
seismology. Additionally it nowadays serves as the foundation for a large number of more
specialized packages.
This presentation will give a short overview of the capabilities of ObsPy and point
out several representative or new use cases. Additionally we will discuss the road
ahead as well as the long-term sustainability of open-source scientific software. |
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