Umami

Umami is an open-source, privacy-focused web analytics tool. It records the essentials - visitors, page views, referrers, browsers, operating systems, devices, countries and custom events - and presents them on a clean dashboard, without cookies, without tracking individuals across sites and without collecting personal data. Being open source is the defining feature. You can self-host Umami on your own server or a platform such as Vercel or Railway with a Postgres or MySQL database, which makes it effectively free apart from hosting and gives you complete ownership of your data. For teams that would rather not run anything, Umami Cloud offers a hosted version with a free tier and paid plans for higher traffic. The interface is deliberately simple and fast. It supports multiple websites and team access from one installation, shareable public dashboards, UTM and campaign tracking, event tracking via a small script or API, and reports such as funnels, retention and user journeys that go somewhat beyond the most minimal privacy analytics tools. The tracking script is small, which keeps it from affecting page performance. The trade-offs are the usual ones for self-hosted software: you are responsible for updates, backups and scaling, and very high-traffic sites need a properly sized database. It is also website analytics rather than a full product analytics suite, so deep behavioural analysis inside an application is better served elsewhere. The nearest alternatives are Plausible, which is also open source but more often used as a paid hosted service; Fathom Analytics and Simple Analytics, both paid and hosted only; Matomo, an older open-source platform closer to Google Analytics in scope; and GoatCounter, a minimal option. PostHog covers product analytics with self-hosting for application teams. Choose Umami when you want privacy-respecting analytics you can own and run for free. Choose a hosted paid tool if you would rather never think about servers.