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GoatCounter project preview
Business Web SaaSAlternative to Plausible AnalyticsAlternative to MatomoAlternative to Google Analytics

GoatCounter

Simple, privacy-friendly web analytics without tracking or cookies.

View on GitHub Visit website
LicenseEUPL-1.2
GitHub stars6.0k
Last commit3 weeks ago
Tags6 topics
CookielessGdprLightweightPrivacyGolangWeb Analytics
Overview

Why consider GoatCounter?

GoatCounter is an open-source web analytics platform written in Go. It delivers meaningful pageview and referral statistics without tracking users or requiring GDPR consent banners.

Guided learning

Learn GoatCounter by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 3 sections
In this guide3 sections

Overview of GoatCounter

GoatCounter is a lightweight analytics tool that can be self-hosted with a single compiled binary and an SQLite or PostgreSQL database. It tracks page visits, referrers, screen sizes, and browser versions without persistent cookies or personal data collection.

Running GoatCounter

bash
1# Create database and user
2goatcounter db create site:http://localhost:8080 user@example.com
3
4# Start server
5goatcounter serve -listen :8080 -tls none

Adding the Tracking Code

html
1<script data-goatcounter="http://localhost:8080/count"
2 async src="//gc.zgo.at/count.js"></script>

GoatCounter is licensed under the European Union Public License Version 1.2 (EUPL-1.2).

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GoatCounter FAQs

GoatCounter is listed as a Business Web SaaS tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

GoatCounter is listed under the EUPL-1.2 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

GoatCounter is listed as an alternative to Plausible Analytics. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.