Umami
Analytics & Monitoring
Open-source privacy-focused web analytics
Umami is an open-source web analytics platform designed as a privacy-conscious alternative to traditional analytics services. It enables website owners and developers to track visitor behavior and site performance while maintaining user privacy through a self-hosted deployment model. The platform collects essential metrics including page views, visitor counts, referral sources, and user device information. Unlike cloud-based analytics services, Umami operates on infrastructure controlled by the site owner, meaning user data remains on their own servers rather than being sent to third-party providers. This approach reduces data exposure and gives organizations direct control over their analytics data. Umami is particularly suited for developers, small to medium-sized websites, and organizations with privacy compliance requirements. The open-source nature allows technical users to self-host, customize, and audit the codebase. The platform offers a lightweight alternative to enterprise analytics solutions, with a straightforward dashboard for viewing key metrics. As an open-source project, Umami is freely available, though users are responsible for hosting and maintaining their own instances. The project is community-driven, allowing contributions and customizations from developers who need privacy-respecting analytics capabilities.
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Open-source observability platform
Hi HN! We're Evgeny and Arjun, and we’re building a simpler way for startups to do data analytics. Since open-sourcing our Postgres read replica optimized for analytics ( https://github.com/BemiHQ/BemiDB ), we started hearing a familiar story. Teams would connect Postgres, f
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