  In-situ small- and wide-angle scattering experiments at synchrotrons often
result in massive amounts of data within seconds only. Especially during such
beamtimes, processing of the acquired data online, so without mentionable
delay, is key to obtain feedback on failure or success of the experiment. We
thus developed SAXSDOG, a python based environment for real-time azimuthal
integration of large-area scattering-images. The software is primarily designed
for dedicated data-pipelines: once a scattering image is transferred from the
detector onto the storage-unit, it is automatically integrated and
pre-evaluated using integral parameters within milliseconds. The control and
configuration of the underlying server-based processes is done via a graphical
user interface SAXSLEASH, which visualizes the resulting 1D data together with
integral classifiers in real time. SAXSDOG further includes a portable
'take-home' version for users that runs on standalone computers, enabling its
use in labs or at the preferred workspace.
