rolandhangelbroek/cgmshiny

CGMShiny is a legacy research tool (5+ years old) with minimal adoption (2 stars) and zero recent development activity. While it addresses a specific niche—CGM data analysis for dietary interventions—it lacks a technical moat or network effects. The project essentially wraps standard CGM metrics (like Time in Range, MAGE, and glycemic variability) into a basic R Shiny UI. It faces heavy competition from more robust, actively maintained R packages such as 'iglu' and 'gluvarpro', as well as specialized Python libraries like 'cgm-quantify'. The risk from frontier labs (OpenAI, Google) is low because the domain is too specialized and academic for their current focus, but the risk of displacement by superior open-source research frameworks is extremely high. Any researcher requiring these capabilities would likely choose a more modern, validated package over this repository.