Muography is an imaging technique based on attenuation of the directional muon flux traversing geological or anthropic structures. Several simulation frameworks help to perform muography studies by combining specialised codes from the muon generation (CORSIKA and CRY) and the muon transport (GEANT4, PUMAS, and MUSIC) to the detector performance (GEANT4). This methodology is very precise but consumes significant computational resources and time.In this work, we present the end-to-end python-based MUographY Simulation Code. MUYSC implements a muography simulation framework capable of rapidly estimating rough muograms of any geological structure worldwide. MUYSC generates the muon flux at the observation place, transports the muons along the geological target, and determines the integrated muon flux detected by the telescope. Additionally, MUYSC computes the muon detector parameters (acceptance, solid angle, and angular resolution) and reconstructs the 3-dimensional density distribution of the target. We evaluated its performance by comparing it with previous results of several simulation frameworks.