Umami: open-source, self-hostable analytics
Umami is an open-source web analytics tool you can self-host (or use as a hosted service) that reports a focused metric set — views, visitors, referrers, top pages — with a simple, privacy-minded model. Self-hosting keeps the data in your own database. Its scope is a lightweight traffic overview rather than deep product analytics.
What this means
Umami records page views and visitors via a small script and stores them in a database you run when self-hosting. The dashboard focuses on the essentials — views, visitors, referrers, top pages, and basic custom events.
The project's emphasis is simplicity, open-source code, and a small privacy surface.
What to weigh
Self-hosting gives data ownership and control over retention but means you operate and update the software. The metric set is deliberately narrow, so deep funnels or cohorts are out of scope.
- Open-source, self-host or hosted
- Cookieless-by-default, focused metrics
- You run and maintain a self-hosted instance
Migration notes
Self-hosted history starts when your instance does, so plan for no historical import. Re-create any custom events you relied on, and expect definitional differences from a cookie-based tool.
How it appears in analytics and logs
Self-hosted Umami numbers come from your own instance, so discrepancies trace to your deployment and event coverage; its narrow metric set is a scope choice, not missing data.
Diagnostic use case
Consider Umami when you want a simple, self-hostable, privacy-minded analytics dashboard and control over where the data lives.
What WebmasterID can help detect
WebmasterID shares the first-party, data-ownership and cookieless mindset and adds AI-crawler and bot intelligence; this page describes Umami even-handedly for comparison.
Common mistakes
- Assuming self-hosting needs no maintenance.
- Expecting deep funnels from an overview-scope tool.
- Comparing its visitor counts to a cookie-based tool as identical.
Privacy and accuracy notes
Umami markets a privacy-friendly, no-cookie-by-default approach and can be self-hosted to keep data in your own database. Configuration and region still govern obligations. This is factual, not legal advice.
Related pages
- Matomo: open-source, self-hostable analytics
Matomo (formerly Piwik) is an open-source web analytics platform that can be self-hosted on your own server or used as a hosted cloud service. Self-hosting means the visitor data lives in your own database rather than a vendor's. It offers a session/visit-based model with familiar reports plus optional add-ons, and configurable options such as cookieless tracking and IP anonymization.
- Self-hosted vs cloud analytics
Choosing between self-hosted and cloud (vendor-hosted) analytics is mainly a trade-off between data ownership and operational effort. Self-hosting keeps raw data in your own database and gives you control over retention, but you run, secure, and update the software. Cloud is operated for you but the data lives with the vendor. Neither is universally better.
- Cookieless analytics: how it works and its limits
Cookieless analytics records visits and events without setting cookies or persistent cross-site identifiers. It relies on first-party, server-side signals and aggregate counting. The trade-off is honest: it cannot follow an individual across sessions the way cookie-based tracking can — which is exactly the point for privacy-first measurement.
- Privacy-first analytics
First-party, cookieless measurement.
Sources and verification notes
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.