Prisme Analytics

Prisme Analytics

Privacy-focused, self-hosted web analytics with ClickHouse and Grafana

120stars
2forks
Last commit: 25d ago
Repo age: 2y old
Prisme Analytics screenshot

Prisme Analytics is an open-source, privacy-focused web analytics platform designed for self-hosting or managed deployment. It captures anonymized pageviews and custom events with a tiny tracking footprint and exposes real-time metrics through a Grafana-driven interface.

Key Features

  • Privacy-first, cookie-less tracking that collects only anonymized data and filters bots and scrapers
  • Extremely lightweight tracking: ~2 KB JavaScript tracker and a 35-byte transparent pixel for no-JS tracking
  • High-performance ingestion optimized for ClickHouse, capable of tens of thousands of requests per second on appropriate hardware
  • Grafana-based dashboards for user/team management, permissions, multi-organization support, and custom visualizations
  • Support for SPA pushState routing and UTM campaign tracking; custom events and flexible metric definitions
  • Deployable via containers and common DevOps workflows; codebase includes a Go ingestion/backend and a TypeScript frontend

Use Cases

  • Real-time website analytics for privacy-conscious sites and organizations
  • Campaign and UTM tracking to measure traffic sources and conversion funnels without third-party trackers
  • Self-hosted analytics for teams needing full data ownership and long-term retention

Limitations and Considerations

  • Requires external components such as ClickHouse for storage and Grafana for dashboards, which add operational complexity
  • Product-analytics features (user segmentation, retention, user paths) are noted as in-progress or planned and may be limited compared to dedicated product-analytics tools

Prisme is a pragmatic alternative to large third-party analytics providers for teams that need high ingestion performance, fine-grained control, and strong privacy guarantees. It is suitable for organizations willing to operate ClickHouse and Grafana or use the project’s managed offering.

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