These advancements have led to more accessible high-throughput experiments, with numerous institutes moving towards big data. However, even though high-throughput data acquisition is achieved, scaling up data processing and analysis in untargeted metabolomics remains a challenge . Most of the currently available tools are web-based, such as XCMS Online and MetaboAnalyst , which can be limiting for sensitive data. Others are restricted to specific operating systems, such as MetAlign 3.0 , MS-Dial , or have limited scalability when analyzing hundreds or thousands of files, such as MZmine 2 .