This article presentsCyRSoXS– an open-source virtual instrument that uses GPUs to simulate polarized resonant soft X-ray scattering (P-RSoXS) patterns from real-space material representations. It is significantly faster than the current state-of-the-art software, and it enables quantitative extraction of orientation information from P-RSoXS data. This enables a wide range of applications, including pattern fitting, co-simulation, data exploration, machine learning workflows and multi-modal data assimilation approaches.