UmetaFlow was built for rapid processing of large LC-MS/MS datasets and for that purpose, it is implemented as a Snakemake workflow, allowing high scalability and speed due to parallelization. This version is compatible with macOS and Linux operating systems. In addition, UmetaFlow contains Python bindings to the OpenMS algorithms (pyOpenMS ) and other Python modules that are commonly used in data science implemented as Jupyter notebooks. This allows for interactive computing, easy data exploration and visualization, as well as rapid prototyping and implementation of new steps. The python version is compatible with macOS, Linux and Windows operating systems.