BuildUPViewer is a project for visualizing and analyzing building data, allowing users to track the progress of building construction. It uses geospatial data to provide a detailed view of buildings and their evolution over time.

This project contains a Logstash configuration file for processing Open edX tracking logs, anonymizing personal user data in the process. The structured data can then be used for various business purposes such as analyzing user behavior or improving course content.

The charts-cloud-pi-native project provides a platform for visualizing and monitoring real-time data, enabling users to track key performance indicators, analyze trends, and make informed decisions. It utilizes advanced data processing and visualization techniques to deliver an intuitive and interactive user experience.

The lambda-am project automates business processes and integrates with other systems via API to provide a seamless workflow. It tracks and analyzes data to help businesses make informed decisions.

This project tracks and analyzes submissions data, generating charts and providing reasons for submissions.

Track Analyzer est une pipeline Python de visualisation et d'analyse de données de suivi d'objets. Il ne réalise pas de suivi d'objets, mais permet de visualiser et de quantifier tout type de données de suivi. Il analyse les trajectoires en calculant des grandeurs telles que la vitesse, l'accélération, le coefficient de diffusion, la densité locale, etc. Les trajectoires peuvent être représentées sur l'image d'origine en 2D ou 3D en utilisant un codage de couleur personnalisé.