Multi-method Snow Drought Toolbox (MSDT), an open-source Python software package that provides an end-to-end workflow for snow drought research, encompassing SWE data acquisition, multi-method identification, data visualization, and comparative analysis through an intuitive graphical user interface. MSDT integrates seven widely adopted snow drought identification methods spanning yearly, monthly, and daily temporal scales, with flexible and adjustable parameters that enable users to tailor analyses to different climatic regions and research objectives. The toolbox streamlines data access by supporting automated downloading of state-of-the-art SWE datasets together with a curated catalog of commonly used products, and further supports interactive geospatial visualization for data exploration and methodological comparison. In addition, the toolbox adopts a memory- and performance-efficient architecture that supports large spatiotemporal datasets while maintaining responsive snow drought computing. Its modular architecture enables straightforward integration of additional datasets and identification algorithms.