blumen-schwarz.de Tech Stack
blumen-schwarz.de uses 32 technologies across 16 categories, including Apache, Apache HTTP Server, HSTS, Redux Framework, Font Awesome. The site is classified as E-commerce & Retail. 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: E-commerce & Retail (85% confidence)
Technologies detected on blumen-schwarz.de
Infrastructure & Hosting
- Apache (100% confidence)
- Apache HTTP Server (100% confidence)
WordPress
- Redux Framework (100% confidence)
- Advanced iFrame (100% confidence)
- Related Products (100% confidence)
- SVG Support (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Firelight Lightbox (100% confidence)
- Image Watermark (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
JavaScript & Frameworks
- Owl Carousel (100% confidence)
- Dash (100% confidence)
- Fancybox (100% confidence)
- imagesLoaded (100% confidence)
- Infinite Scroll (100% confidence)
- Slick (100% confidence)
- Underscore.js (100% confidence)
- Plotly (80% confidence)
- React (80% confidence)
- D3 (80% confidence)
- DataTables (75% confidence)
- jQuery (75% confidence)
- Masonry (75% confidence)
- Select2 (75% confidence)
Ecommerce & Payments
- WooCommerce (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Other
- Widgets on Pages (100% confidence)
Development Tools
- PHP (80% confidence)
- Python (80% confidence)
- Priority Hints (25% confidence)
blumen-schwarz.de is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T12:12:30.947Z
Frequently Asked Questions
- What technologies does blumen-schwarz.de use?
- blumen-schwarz.de uses 32 technologies including Apache, Apache HTTP Server, HSTS, Redux Framework, Font Awesome.
- What type of website is blumen-schwarz.de?
- blumen-schwarz.de is classified as a E-commerce & Retail 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.