Nightscout Web Monitor, also known as cgm-remote-monitor, is a web-based platform designed to enable multiple caregivers to remotely monitor a patient's continuous glucose monitoring data in real time. Written primarily in JavaScript, the system reads from a MongoDB database that receives sensor glucose values from physical CGM devices and displays this information graphically through a web interface.
The repository is classified across multiple diabetes management and medical device connectivity domains, including continuous glucose monitoring, remote monitoring, blood glucose tracking, real-time alerts, mobile integration, data visualization, patient dashboard functionality, and caregiver access. This classification reflects the platform's core purpose of bridging the gap between medical devices and the people who need to monitor patient health outcomes.
The project maintains active development with significant community engagement.
The platform's technical architecture requires Node.js version 20 LTS or later and MongoDB 4.4 or later for operation. The system supports a comprehensive browserslist policy covering approximately 91 percent of globally used browsers, including recent versions of Chrome, Firefox, Safari, Edge, and other major browsers, while explicitly not supporting Internet Explorer 11. The installation process is designed to be accessible to end users through documented setup procedures, with separate documentation available for non-programmers at nightscout.github.io and additional resources at nightscout.info.
Nightscout includes an extensive plugin architecture with both default and advanced plugins. Default plugins provide core functionality such as blood glucose delta tracking, direction indicators, uploader battery status, time ago displays, device status monitoring, CGM error code reporting, AR2 forecasting, and simple alarms. Advanced plugins extend capabilities to include careportal functionality, bolus calculation wizards, custom food tracking, raw glucose data, insulin-on-board calculations, carbs-on-board tracking, cannula age monitoring, sensor age tracking, insulin age tracking, battery age tracking, treatment notifications, basal profile management, bolus rendering, and integration with systems like OpenAPS, Loop, and various voice assistants including Amazon Alexa.
The repository includes specific installation guidance for various hosting environments, including Microsoft Azure with particular configuration requirements, nginx or Apache reverse proxy setups with SSL/TLS offloading considerations, and local installations on Windows systems. The project emphasizes security through HTTPS redirection by default and HTTP Strict Transport Security headers, with configurable options for environments using reverse proxies. The codebase is maintained under a development workflow documented in CONTRIBUTING.md, supporting the #WeAreNotWaiting community movement focused on improving diabetes management technology.
