Website-exploitanten worden onder druk gezet om het gedrag van gebruikers te volgen en tegelijkertijd de privacywetten zoals de AVG te respecteren. De boetes voor niet-naleving bedragen sinds 2018 miljarden euro's. Offen Fair Web Analytics pakt dit aan door een tool aan te bieden waarmee gebruikers zich kunnen aanmelden, toegang krijgen tot hun gegevens en de controle behouden. Het is ontwikkeld in Duitsland en wordt in de zomer van 2024 volwassen en biedt essentiële statistieken zonder IP-adressen, user agents te verzamelen of afhankelijk te zijn van derden. Het wordt zelf gehost op een enkel binair bestand of Docker en maakt gebruik van first-party cookies en end-to-end-codering. Ondersteund door het Next Generation Internet-initiatief van de NLnet Foundation heeft Offen sinds de start in 2019 ruim 960 sterren verzameld op GitHub. Dit in Berlijn gevestigde project van Frederik Ring en Hendrik Niefeld geeft prioriteit aan datasoevereiniteit voor Europese gebruikers.
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.
Veelgestelde Vragen
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.