This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance.
What distinguishes this platform is its emphasis on first-party data collection and proxy-based routing. By allowing tracking requests to be routed through a custom domain, the system effectively masks analytics traffic as internal requests, bypassing ad-blocking software and privacy filters that typically interfere with client-side scripts. This approach, combined with server-side event processing, ensures that site owners maintain accurate traffic data even when browser-based limitations are present.
The platform offers a broad capability surface for managing complex organizational needs, including granular role-based access control, SAML-based single sign-on, and automated reporting workflows. Users can programmatically manage site configurations, integrate external data sources, and export raw event logs for deep analysis in third-party business intelligence tools. The system also supports advanced conversion funnel tracking, allowing teams to define and measure specific user journeys and revenue-generating actions across multiple websites from a centralized dashboard.