  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.
