Vemetric

Vemetric is an open-source web and product analytics platform. It tracks user behavior and interactions on websites and digital products to provide quantitative insights into how visitors navigate a service. The software is designed to help operators understand user journeys and event triggers without relying on the data collection methods of large corporate tracking suites.

The software operates as a web application and server. It focuses on privacy by remaining GDPR compliant and avoiding the use of cookies by default. This approach allows site owners to gather necessary behavioral data while respecting visitor privacy and adhering to strict data protection regulations. It is deployed as a server-side application that collects and processes interaction data from connected web properties.

Key features

• Real-time analytics tracking
• Behavior monitoring via User Journeys
• Custom event tracking
• Filtering mechanisms for product and website interactions
• Tracking capabilities across multiple subdomains

The platform utilizes PostgreSQL and ClickHouse for data management, ensuring that large volumes of event data can be stored and queried efficiently. It is licensed under the AGPLv3, which allows for commercial use provided that any derivative works are also released under the same license. The architecture is built to handle both high-level web traffic statistics and granular product usage metrics, making it suitable for teams that need to bridge the gap between marketing analytics and product growth tracking.

While the project is currently focused on its core service, the developers have outlined plans for a Community Edition. This future version will support self-hosting options, specifically covering the web analytics dashboard and the user journey tracking features. This ensures that users who require full control over their data infrastructure can host the software on their own hardware.

Vemetric is a privacy-centric tool for developers and product managers who require a balance between high-level web traffic data and detailed product usage metrics.