prescott.edu Tech Stack
prescott.edu uses 28 technologies across 17 categories, including Cloudflare, HTTP/3, WP Engine, WordPress, cdnjs. The site is classified as Education & Learning. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: Education & Learning (85% confidence)
Technologies detected on prescott.edu
Infrastructure & Hosting
- Cloudflare (100% confidence)
- WP Engine (100% confidence)
- cdnjs (100% confidence)
- GoDaddy Hosting (100% confidence)
- GoDaddy (80% confidence)
- Fastly (30% confidence)
Other
- HTTP/3 (100% confidence)
- WP Go Maps (formerly WP Google Maps) (100% confidence)
- Open Graph (100% confidence)
- Google Workspace (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Gutenberg (100% confidence)
- WordPress Block Editor (100% confidence)
Analytics & Tracking
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
Media & Content
- Google Font API (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- Schema.org (100% confidence)
WordPress
- Bootstrap Blocks (100% confidence)
- Ivory Search (100% confidence)
- Ivory Search – WordPress Search Plugin (100% confidence)
JavaScript & Frameworks
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- Tiny Slider (100% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
prescott.edu is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T13:19:30.339Z
Frequently Asked Questions
- What technologies does prescott.edu use?
- prescott.edu uses 28 technologies including Cloudflare, HTTP/3, WP Engine, WordPress, cdnjs.
- What type of website is prescott.edu?
- prescott.edu is classified as a Education & Learning website.
- 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.