  We propose a 3D simulator tailored for the Drone-as-a-Service framework. The
simulator enables employing dynamic algorithms for addressing realistic
delivery scenarios. We present the simulator's architectural design and its use
of an energy consumption model for drone deliveries. We introduce two primary
operational modes within the simulator: the edit mode and the runtime mode.
Beyond its simulation capabilities, our simulator serves as a valuable data
collection resource, facilitating the creation of datasets through simulated
scenarios. Our simulator empowers researchers by providing an intuitive
platform to visualize and interact with delivery environments. Moreover, it
enables rigorous algorithm testing in a safe simulation setting, thus obviating
the need for real-world drone deployments. Demo: https://youtu.be/HOLfo1JiFJ0
