The seismic performance of a slope that has a shallow, critical sliding surface is quantified by the sliding displacement of a rigid sliding block. This project includes a Jupyter notebook that implements the Rathje and Saygili (2008, 2009) probabilistic approach to compute a hazard curve for the expected sliding displacement of a rigid sliding mass. This notebook requires as input the yield acceleration (ky) of the slope and the ground motion hazard in terms of the peak ground acceleration (PGA) hazard curve and the associated magnitude and distance de-aggregations. This Jupyter notebook interfaces directly with the U.S. Geological Survey Unified Hazard Tool such that the required ground motion hazard information can be input directly from the USGS website. The epistemic uncertainty in ky is captured through a user-specified logic tree. References: Rathje, E.M. and Saygili, G., (2009). Probabilistic assessment of earthquake-induced sliding displacements of natural slopes. Bulletin of the New Zealand Society for Earthquake Engineering, 42(1), p.18. Rathje, E. M., & Saygili, G. (2008). Probabilistic seismic hazard analysis for the sliding displacement of slopes: scalar and vector approaches. Journal of Geotechnical and Geoenvironmental Engineering, 134(6), 804-814.