Privacy-focused web analytics that tracks unique visits without using cookies or collecting personal identifiers.

GoatCounter is an open-source web analytics platform that tracks unique visits without using cookies or collecting personal identifiers. It is designed to provide meaningful site statistics while maintaining user privacy and avoiding the need for GDPR consent notices. The software focuses on providing essential metrics without the complexity of traditional analytics suites.
The software is available as a hosted service or as a self-hosted application. Users can deploy it on their own servers using statically compiled binaries or Docker containers, managing the installation via a command line interface. It can be integrated into a website using a single script tag, or through more technical methods for those who prefer to avoid client-side scripts entirely.
The application is written in Go and offers flexible storage options depending on the scale of the project. It uses SQLite by default, which is suitable for smaller sites, but supports PostgreSQL for larger installations that require higher performance. The system is designed to handle millions of pageviews, though performance varies based on how those views are distributed across different pages. Administrators can manage the server through a dedicated management page and monitor health via a status URL.
Data ingestion is versatile, supporting a standard JavaScript integration, a no-JavaScript image tracker, or direct parsing of server logs. This flexibility allows the software to be used in environments where client-side execution is restricted or undesired.
GoatCounter is intended for website owners who require basic traffic metrics without compromising visitor privacy.
A privacy focused web analytics tool that tracks website traffic and user behavior without compromising visitor anonymity.
Track website traffic and conversions with a privacy focused tool that avoids cookies and personal data.
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