The thesis project aim is to develop a web application for safety metrics based on failure modes, effects, and diagnostic analysis (FMEDA) for Xilinx Versal platform, this allows end users to customize the metrics of Versal component blocks based on their assumptions of use and configuration, obtaining a detailed report with Functional Safety reliability metrics according to ISO 26262. The application is made of a back-end, developed in python using flask, and a front-end, initially developed in Excel and VBA but then changed for a more performing, structured and modern-looking Typescript application with the Angular framework. The development process started with Insight, the pre-existent python tool developed by Xilinx for internal use.