Investigation and Comparative Analysis of MVP for Location Tracking Application Build on Python/Django/MongoDB Stack vs. Other Options

In this investigation, we construct and assess the efficacy of a location-tracking application crafted utilizing a Python/Django/MongoDB technology stack. Employing meticulous experimentation and subsequent analysis, we examine the effectiveness of WebSocket connections in enabling seamless real-time communication and data retrieval. By juxtaposing our results with prior research conducted on an ASP.NET stack [1], we enrich comprehension regarding technology stack selection for location-tracking applications. Our research is important for MVP developers considering their choice of the technology stack and evaluating the Python/Django/MongoDB stack as one of the options. However, in our study, we do not delve into the nuances of optimizing this stack. Our focus is on investigating the performance of the entire Python/Django/MongoDB stack with basic configurations. Additionally, the contribution of each stack component to the overall interaction requires further research, which is beyond the scope of this work.