Websites Using AWStats

Open-source web analytics tool that generates server log statistics and reports.

Categories: Analytics, Web analytics

Official website: https://awstats.sourceforge.io

31 websites using AWStats

• etwinning.gr
• claus.ro
• pc-facile.com
• tigertech.biz
• tigertech.net
• exigo.ch
• angkanet6.net
• hostingbangladesh.com
• timeweb.org
• lokalkompass.de
• lautre.net
• conhos.ru
• caida.org
• 4goodhosting.com
• stablehost.com
• romania-webhosting.com
• mi.com.co
• clausweb.ro
• tnedi.me
• psg.com
• web4u.cz
• lws-hosting.com
• timeweb.com
• ident.me
• tmweb.ru
• meinbezirk.at
• bsuedu.ru
• consumeraffairs.com
• tw1.ru
• poznan.pl
• timeweb.ru

AWStats is ranked #48 of 477 in Analytics by website adoption.

Analytics alternatives ranked by popularity

1. Google Analytics — 121,909 websites
2. Google Analytics 4 — 107,861 websites
3. Cloudflare Browser Insights — 30,688 websites
4. Yandex Metrica — 13,805 websites
5. Matomo — 13,424 websites
6. Matomo Analytics — 13,162 websites
7. Hotjar — 6,388 websites
8. Site Kit — 5,799 websites
9. Liveinternet — 3,311 websites
10. Adobe Analytics — 2,609 websites

Technologies commonly used with AWStats

• HSTS — 58% co-occurrence
• Google Ad Manager — 55% co-occurrence
• Google Analytics — 48% co-occurrence
• PHP — 48% co-occurrence
• jQuery — 45% co-occurrence
• Open Graph — 45% co-occurrence
• Google Analytics 4 — 42% co-occurrence
• Nginx — 39% co-occurrence

How WhatStack detects AWStats

WhatStack detects AWStats 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 AWStats?

Open-source web analytics tool that generates server log statistics and reports.

How many websites use AWStats?

WhatStack has detected AWStats on 31 websites in our database.

How do you detect AWStats?

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