Umami and Open Web Analytics both offer open-source alternatives to commercial analytics platforms, yet they occupy notably different positions in the ecosystem. Umami commands a substantially larger community with 35,432 total stars and has demonstrated strong recent momentum, adding 436 stars in the last thirty days. Open Web Analytics, by contrast, holds 2,643 total stars and attracted only 10 stars over the same period, suggesting a smaller, more static user base. The disparity in community scale likely reflects their positioning and technical approaches. Umami presents itself as a modern, privacy-focused solution pitched explicitly against Google Analytics, Mixpanel, and Amplitude, signaling an emphasis on contemporary developer experience and privacy-by-design architectures. Its growth trajectory indicates active adoption among engineering teams seeking lightweight, self-hosted analytics with current tooling. Open Web Analytics frames itself around data ownership and control, offering a direct alternative to Google Analytics without emphasizing modern stack alignment. Its modest star count and minimal recent activity suggest it serves established users or organizations prioritizing long-standing stability over cutting-edge feature development. Both projects enable organizations to retain sovereignty over their data, but their communities suggest different use cases. Umami appears to attract teams building new products who value rapid iteration and modern privacy standards, while Open Web Analytics likely appeals to maintainers of existing deployments where continuity matters more than ecosystem velocity. Neither project appears to be fading, but their trajectories indicate distinct audiences within the self-hosted analytics space.