  The Muon g-2 experiment at Fermilab, with the aim to measure the muon
anomalous magnetic moment to an unprecedented level of 140~ppb, has started
beam and detector commissioning in Summer 2017. To deal with incoming data
projected to be around tens of petabytes, a robust data reconstruction and
analysis chain based on Fermilab's \textit{art} event-processing framework is
developed. Herein, I report the current status of the framework, together with
its novel features such as multi-threaded algorithms for online data quality
monitor (DQM) and fast-turnaround operation (nearline). Performance of the
framework during the commissioning run is also discussed.
