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Tolerance Stackup Analysis Web App

Full-stack statistical tolerance stackup web application based on the Monte Carlo methodology, capable of analyzing 1D tolerance stackup chains.

Feature Demonstration

1D Chain Video

The software can also generate professional looking reports like this (1D Stack).

Dependencies and structure

Backend written in Python using Django, pandas, numpy, and scipy. A database is used to save tolerance stackups; this data is then served using a RESTful API. Frontend written in Javascript with JQuery and bootstrap. D3.JS is used for plotting and both JSPDF and autotable for report generation.