Websites Using GoatCounter

Open-source, privacy-friendly web analytics platform.

Categories: Analytics, Web analytics

Official website: https://www.goatcounter.com

36 websites using GoatCounter

• zachleat.com
• issarice.com
• bestlettertemplate.com
• ltiaas.com
• skatevideosite.com
• pona.la
• nethence.com
• ultrawidewallpapers.net
• number49s.co.za
• resto26.eu
• raymondcamden.com
• horstmann.com
• clonesworld.com
• windows64.net
• hugovk.dev
• voidchat.org
• yesterweb.org
• quepasa.com.ve
• nestflix.fun
• cityquiz.io
• openplanet.dev
• brandur.org
• mattgemmell.com
• dynomight.net
• lovelysystems.com
• cadmapper.com
• metroui.org.ua
• omnidoc.fr
• about-france.com
• hillelwayne.com
• thestoryshack.com
• thehealthcareblog.com
• vidzstream.online
• podman-desktop.io
• rocketlab.ai
• kodi.tv

GoatCounter is ranked #178 of 477 in Analytics by website adoption.

Analytics alternatives ranked by popularity

1. Google Analytics — 121,867 websites
2. Google Analytics 4 — 107,819 websites
3. Cloudflare Browser Insights — 30,687 websites
4. Yandex Metrica — 13,804 websites
5. Matomo — 13,424 websites
6. Matomo Analytics — 13,162 websites
7. Hotjar — 6,389 websites
8. Site Kit — 5,795 websites
9. Liveinternet — 3,310 websites
10. Adobe Analytics — 2,610 websites

Technologies commonly used with GoatCounter

• Open Graph — 81% co-occurrence
• PWA — 47% co-occurrence
• HSTS — 44% co-occurrence
• Google Font API — 31% co-occurrence
• HTTP/3 — 25% co-occurrence
• Fastly — 25% co-occurrence
• Google Analytics — 25% co-occurrence
• Google Analytics 4 — 22% co-occurrence

How WhatStack detects GoatCounter

WhatStack detects GoatCounter by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is GoatCounter?

Open-source, privacy-friendly web analytics platform.

How many websites use GoatCounter?

WhatStack has detected GoatCounter on 36 websites in our database.

How do you detect GoatCounter?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify GoatCounter with high accuracy using signature-based pattern matching.