lexingtoninstitute.org Tech Stack
lexingtoninstitute.org uses 29 technologies across 19 categories, including Nginx, WordPress, Adobe Fonts, Bootstrap, Gravity Forms. The site is classified as Non-profit & Charity. 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: Non-profit & Charity (25% confidence)
Technologies detected on lexingtoninstitute.org
Infrastructure & Hosting
- Nginx (100% confidence)
- Fastly (30% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Media & Content
- Adobe Fonts (100% confidence)
- Typekit (100% confidence)
- MediaElement.js (100% confidence)
- Smush Image Optimization (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
JavaScript & Frameworks
- Bootstrap (100% confidence)
- Backbone.js (100% confidence)
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- jQuery UI (100% confidence)
- Lightbox (100% confidence)
- Underscore.js (100% confidence)
Communication & Engagement
- Gravity Forms (100% confidence)
WordPress
- Popup Maker (100% confidence)
- Smush (100% confidence)
- Toolset Types (100% confidence)
- Breeze (100% confidence)
- WPMU DEV Smush (100% confidence)
- WP-PageNavi (100% confidence)
Advertising & Marketing
- Responsive Lightbox (100% confidence)
Other
- Sassy Social Share (100% confidence)
- Open Graph (100% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (40% confidence)
Analytics & Tracking
- Google Analytics (75% confidence)
lexingtoninstitute.org is identified as a news website with 90% confidence.
Last analyzed: 1970-01-21T12:12:25.794Z
Frequently Asked Questions
- What technologies does lexingtoninstitute.org use?
- lexingtoninstitute.org uses 29 technologies including Nginx, WordPress, Adobe Fonts, Bootstrap, Gravity Forms.
- What type of website is lexingtoninstitute.org?
- lexingtoninstitute.org is classified as a Non-profit & Charity 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.