GoatCounter is a web analytics platform designed for privacy and ease of use. It offers an alternative to traditional analytics solutions like Google Analytics and Matomo, prioritizing user data protection. GoatCounter collects data without relying on unique identifiers, mitigating the need for GDPR consent notices. It can be run as a hosted service or self-hosted on your own infrastructure. The core of the project is a Go application that efficiently tracks website visits and gathers relevant statistics.
GoatCounter distinguishes itself through its lightweight design, requiring minimal overhead on web pages. It also offers flexibility in data collection, allowing for JavaScript-free tracking and backend integration. Furthermore, the project prioritizes accessibility and offers complete data ownership, empowering users to export all collected data and terminate service at any time. Its open-source nature enables transparency and community contribution.
- Privacy-aware: No tracking of unique identifiers or GDPR consent needed.
- Lightweight: Adds minimal overhead to web pages (~3.5K of data).
- Multiple Integration Methods: JavaScript, HTTP/REST API, and log file parsing supported.
- Data Ownership: Complete control over collected data with export capabilities.
- Accessibility: Designed to be accessible with assistive technologies.
- Open Source: Fully open-source for transparency and community contributions.
- Easy to Use: Simplifies web analytics compared to complex platforms.
GoatCounter is an actively maintained project with a history of releases and ongoing development. The project has a community of users and contributors. Recent commits indicate continuous development and bug fixes. Documentation is comprehensive and covers various aspects, including self-hosting, API usage, and database management. Regular updates and improvements suggest a reliable and evolving platform.
GoatCounter benefits website owners, developers, and privacy-conscious users seeking straightforward web analytics. It is ideal for those who prioritize data privacy, want to avoid complex analytics setups, or need a lightweight solution. It provides valuable insights into website traffic and user behavior without compromising user anonymity, offering a compelling alternative to existing analytics platforms.
