Website-Betreiber stehen unter Druck, Nutzerverhalten zu tracken und gleichzeitig Datenschutzgesetze wie die DSGVO einzuhalten. Bußgelder seit 2018 über Milliarden Euro. Offen Fair Web Analytics adressiert dies mit einem Tool, bei dem Nutzer opt-in wählen, ihre Daten einsehen und Kontrolle behalten. In Deutschland entwickelt, ab Sommer 2024 ausgereift, liefert es essenzielle Metriken ohne IPs, User-Agents oder Drittanbieter. Self-Hosted als Single Binary oder Docker, First-Party-Cookies und E2E-Verschlüsselung. Unterstützt von NLnet Foundations Next Generation Internet, über 960 GitHub-Stars seit 2019. Berlin-Projekt von Frederik Ring und Hendrik Niefeld priorisiert Datensouveränität für europäische Nutzer.
Offen Fair Web Analytics
Open-source, self-hosted web analytics with opt-in consent, browser-side end-to-end encryption, and a shared Auditorium so visitors can see and control their own usage data.
This entry was drafted from publicly available information and still needs human review before treating it as final due-diligence guidance.
Key capabilities
Offen installs via a single binary or Docker image, requiring basic server resources. Operators embed a script to track pages across sites. No complex setup—configuration happens through environment variables. This keeps data on-premises, aiding compliance and reducing latency. Supports subdomains and team sharing for enterprises managing multiple properties.
Users enter the Auditorium with a first-party cookie to view their metrics: unique sessions, top pages visited. Explanations clarify each stat's meaning and privacy impact. Opt-out or data deletion is instant. Operators see aggregates like real-time page views, unique users, without personal identifiers. End-to-end encryption prevents server access to raw data.
Track page views, unique users/sessions, top pages, weekly retention. Filter by URL patterns, location, referrer, UTM parameters, landing, or exit pages. Real-time updates and visualizations help optimize content. No bloat—focuses on actionable insights without invasive profiling.
The consent banner adjusts for color, shape, and fonts. Displays in users' preferred language from six options. Developers extend via open-source contributions. Comprehensive docs cover monitoring, UTM tagging, and troubleshooting.
Häufig gestellte Fragen
Yes. It's fully open-source under Apache 2.0, with no paid tiers or limits. Self-hosting covers costs; donations via Patreon optional.
Yes. Features opt-in consent, no personal data like IPs, end-to-end encryption, and user access/deletion rights. Self-hosting keeps data in your control, aligning with data minimization and sovereignty principles.
- Matomo: Feature-rich self-hosted option, more complex setup.
- Plausible: Hosted privacy analytics, simple dashboards, subscription-based.
- Fathom Analytics: Lightweight hosted alternative, paid plans starting at $14/month.