The SSPF is an open-source tool that provides data-driven systemic safety analysis with a low barrier to entry. The tool allows users to identify higher risk portions of the road network by conducting two analyses: a sliding windows analysis (the framework of HINs), and the Safer Streets Model, a Bayesian statistical model which complements crash history with other information such as functional class, VMT, density, land use, walk and transit commuting, pedestrian generators, and demographics. The model (available for pedestrian and bicycle crashes) quantifies risk in terms of the expected "cost" of crashes on the network which can inform maintenance planning and benefit cost analysis. The tool also includes a built-in crash dashboard, visualizations, and report feature for summarizing and sharing findings. In addition to a demonstration of the tool we will offer examples of use cases.