Pedestrian simulations are used to tackle civil engineering problems in transport infrastructures and are a valuable tool to efficiently identify hotspots and potentially dangerous bottlenecks in different evacuation scenarios. To correctly assess and evaluate experimental and simulation data, swift analysis and comprehensive visualization are paramount. In this talk, we present a platform-independent visual tool for interactive and explorative analysis of pedestrian dynamics and investigation of new methods for quantification of safety-relevant insights of the crowd with a focus on time-performance and interactivity. The project centers around the motivation to extract from a single trajectory dataset as many useful insights as possible with the possibility to extend its functionality to generate statistics based on several trajectories. The dashboard consumes one trajectory file and one geometry file and produces numerous analytics. PedDashboard can be used easily without prior installation https://go.fzj.de/dashboard and is open-sourced on GitHub https://github.com/PedestrianDynamics/dashboard.