Abstract： Objective： To investigate the active components， potential targets， and molecular mechanisms of Xiefuning Granules in treating metabolic-associated fatty liver disease （MAFLD） using network pharmacology and molecular docking technology. Methods： The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP），PubChem，SEA，Swiss Target Prediction，and STITCH databases were used to screen active components and predict targets of Xiefuning Granules. The GEO database and R language limma package were employed to analyze MAFLD differential genes. The Comparative Toxicogenomics Database （CTD），GeneCards，and OMIM databases were used to screen MAFLD disease targets. Cytoscape 3.7.2 software was utilized to construct compound-target-disease networks and protein-protein interaction （PPI） networks. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the DAVID database. Molecular docking simulations between Xiefuning Granules and core target proteins were conducted using AutoDock Vina software， and the docking patterns were visualized using PyMOL software. Results ： A total of 199 active components and 451 targets of Xiefuning Granules were screened， with 177 overlapping targets between the active components and MAFLD. Topological analysis of the PPI network identified 29 key targets. GO enrichment analysis revealed 587 significant enrichments，including 295 biological processes （BP）， 420 cellular components （CC）， and 107 molecular functions （MF）， primarily involving cellular response to insulin stimulus， positive regulation of glucose import， insulin receptor signaling pathway， cytokine activity， and inflammatory response. KEGG pathway analysis showed 85 significantly enriched pathways， mainly including metabolism-related pathways， immune-inflammatory-related pathways， and cell proliferation and apoptosis-related signaling pathways. Molecular docking results demonstrated that four active components （tetrahydropalmatine，emodin， formononetin，and rutin） could form stable conformations with glyceraldehyde-3-phosphate dehydrogenase（ GAPDH）， interleukin-6 （IL-6）， prostaglandin-endoperoxide synthase 2 （PTGS2）， and tumor necrosis factor （TNF）. Conclusion： Network pharmacology combined with molecular docking technology confirmed that Xiefuning Granules can treat MAFLD through multiple components， targets， and pathways， including metabolism-related pathways， immune-inflammatory-related pathways，and oxidative stress and lipid peroxidation-related signaling pathways.