This is a repository of user contributed snufflings.

Snufflings are plugins for the Snuffler application which is part of Pyrocko.

To use any of these snufflings, simply put the respective file or directory into the $HOME/.snufflings directory.

If you want to modify, develop, or keep up to date on any of these, it is preferable to clone the whole repos somewhere in your filesystem and just make symbolic links in $HOME/.snufflings for each snuffling to be used.

The setup.py script included in this repository provides a shortcut to create required symbolic links. Running python setup.py link will do that for you. If you find yourself with broken (dangling) symlinks e.g. after checking out a different branch you can remove all broken symlinks in your $HOME/.snufflings directory by adding --undangle to the link command.

To add your own creation, simply clone this repos, add your stuff and a screenshot and send a pull request.

It is recommended to add some documentation at the top of each snuffling right beneath the snuffling's class name. This text will be shown when pressing the 'Help' on the snuffling's panel and should give a rough overview of the functionalities. Wrapping this text in html code can be used to pretty up the documentation.

Do you have a great idea for a new snuffling? Do you miss some feature in one snuffling? Did you discover a bug? Given this you can click on 'Issues' and open up a 'New Issue'. Describe the problem and wait until the community takes on action.

Plot station and event locations with OpenStreetMap or Google Maps

directory: map

Plot power spectral densities

file: psd.py

Relocate events by cross correlating waveforms

file: cc_relocation.py

Add markers for synthetic arrivals

file: cake_phase.py

Find repeating events

file: corrsearch.py

file: SeiSound.py

Calculate and show synthetic seismograms. The Kiwi Tools package must be installed for this to work.

file: kiwi_seismosizer.py

Plot time vs. magnitude

file: time_line.py

Save waveforms for time windows around selected events as MSEED. This is a hybrid Snuffling which can be run from the command-line as well.

file: extract_events.py

Export selected/visible waveforms as MSEED, ASCII, SAC or YAFF files.

file: export_waveforms.py