canaryfans.com Tech Stack
canaryfans.com uses 32 technologies across 20 categories, including Apache, Apache HTTP Server, WordPress, Facebook Comments, Facebook SDK. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Technologies detected on canaryfans.com
Infrastructure & Hosting
- Apache (100% confidence)
- Apache HTTP Server (100% confidence)
- RawGit (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Gutenberg (100% confidence)
Communication & Engagement
- Facebook Comments (100% confidence)
- Facebook SDK (100% confidence)
- WhatsApp Chat Widget (100% confidence)
- WhatsApp Business Chat (100% confidence)
- AddThis (75% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
Advertising & Marketing
- Google Ads (100% confidence)
- Google AdSense (100% confidence)
Analytics & Tracking
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
WordPress
- Jetpack (100% confidence)
- XT Visitor Counter (100% confidence)
JavaScript & Frameworks
- Dash (100% confidence)
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- spin.js (100% confidence)
- Plotly (80% confidence)
- React (80% confidence)
- D3 (80% confidence)
Ecommerce & Payments
- Featured Image from URL (FIFU) (100% confidence)
Other
- Super RSS Reader – Add attractive RSS Feed Widget (100% confidence)
- Open Graph (100% confidence)
Development Tools
- PHP (80% confidence)
- Python (80% confidence)
canaryfans.com is identified as a news website with 95% confidence.
Last analyzed: 1970-01-21T12:12:24.314Z
Frequently Asked Questions
- What technologies does canaryfans.com use?
- canaryfans.com uses 32 technologies including Apache, Apache HTTP Server, WordPress, Facebook Comments, Facebook SDK.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.