Websites Using AlvandCMS
Alvand is a PHP-based CMS with a modular architecture to enhance scalability and maintainability. It utilizes caching, reduces database queries and employs optimization mechanisms to improve request processing performance. The system supports RESTful APIs, user access management and built-in SEO. It features an independent templating system and dynamic cache management to minimize page load times. It's compatible with MySQL and MariaDB and includes security measures to prevent common attacks.
Categories: CMS
Official website: https://alvandcms.com
AlvandCMS is ranked #39 of 504 in CMS by website adoption.
CMS alternatives ranked by popularity
- WordPress — 93,563 websites
- Gutenberg — 17,066 websites
- Drupal — 7,575 websites
- HubSpot CMS — 4,395 websites
- Squarespace — 4,040 websites
- 1C-Bitrix — 2,789 websites
- Adobe Experience Manager — 2,677 websites
- Tumblr — 2,578 websites
- Joomla — 2,026 websites
- TYPO3 CMS — 1,798 websites
How WhatStack detects AlvandCMS
WhatStack detects AlvandCMS 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 AlvandCMS?
- Alvand is a PHP-based CMS with a modular architecture to enhance scalability and maintainability. It utilizes caching, reduces database queries and employs optimization mechanisms to improve request processing performance. The system supports RESTful APIs, user access management and built-in SEO. It features an independent templating system and dynamic cache management to minimize page load times. It's compatible with MySQL and MariaDB and includes security measures to prevent common attacks.
- How many websites use AlvandCMS?
- WhatStack has detected AlvandCMS on 0 websites in our database.
- How do you detect AlvandCMS?
- We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify AlvandCMS with high accuracy using signature-based pattern matching.