To predict the quality markers(Q-markers) of Hupo Xiaoshi Granules(HXG) based on high-efficiency fingerprinting and network pharmacology.Methods:An high-performance liquid chromatography(HPLC) fingerprinting method was established to identify and assign the common peaks in HXG.Network pharmacology was applied to construct a “component-target-pathway” network to predict potential Q-markers in HXG.Results:The fingerprinting results of HXG identified five common peaks.The network pharmacology analysis revealed five key components，35 potential core targets，and six important pathways in HXG.Based on this analysis，the potential Q-markers of HXG were preliminarily predicted to be quercetin-3-O-(2G-α-L-rhamnosyl)-rutinoside，kaempferol-3-O-rutinoside，β-ecdysterone，quercetin，and kaempferol.Conclusion:The prediction of Q-markers in HXG using high-efficiency fingerprinting and network pharmacology analysis is a scientific and reproducible method，which can provide a basis for establishing the quality standards of HXG and serve as research foundation for future research on its mechanisms of action.