  Given the rapid improvement of the detectors at high-energy physics
experiments, the need for real-time data monitoring systems has become
imperative. The significance of these systems lies in their ability to display
experiment status, steer software and hardware instrumentation, and provide
alarms, thus enabling researchers to manage their experiments better. However,
researchers typically build most data monitoring systems as standalone in-house
solutions that cannot be reused for other experiments or future upgrades. We
present BORA (personalized collaBORAtive data display), a lightweight
browser-based monitoring system that supports diverse protocols and is built
specifically for customizable visualization of complex data, which we
standardize via video streaming. We show how absolute positioning layout and
visual overlay background can address the diverse data display design
requirements. Using the client-server architecture, we enable support for
diverse communication protocols, with the server component responsible for
parsing the incoming data. We integrate the Jupyter Notebook as part of our
ecosystem to address the limitations of the web-based framework, providing a
foundation to leverage scripting capabilities and integrate popular AI
frameworks. Since video streaming is a core component of our framework, we
evaluate viable approaches to streaming protocols like HLS, WebRTC, and
MPEG-Websocket. The study explores the implications for our use case,
highlighting its potential to transform data visualization and decision-making
processes.
