Websites Using WP Multilang – Translation and Multilingual Plugin
Multilingual plugin for WordPress. Go Multilingual in minutes with full WordPress support. Translate your site easily with this localization plugin.
Categories: Cart abandonment, WordPress plugin
Official website: https://github.com/ahmedkaludi/wp-multilang
WP Multilang – Translation and Multilingual Plugin is ranked #133 of 143 in Cart abandonment by website adoption.
Cart abandonment alternatives ranked by popularity
- Klaviyo Reviews — 2,849 websites
- Yotpo Reviews — 1,206 websites
- Yotpo Product Reviews — 953 websites
- Shopify Product Reviews — 847 websites
- Translate Multilingual sites – TranslatePress — 695 websites
- Judge.me Product Reviews — 687 websites
- Trusted Shops — 478 websites
- AI Translation For TranslatePress — 0 websites
- Admin Locale — 0 websites
- Alchemer Mobile — 0 websites
WP Multilang – Translation and Multilingual Plugin is an open source project with 21 stars and 6 forks on GitHub. Written in PHP. Latest release: v2.4.22.
How WhatStack detects WP Multilang – Translation and Multilingual Plugin
WhatStack detects WP Multilang – Translation and Multilingual Plugin 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 WP Multilang – Translation and Multilingual Plugin?
- Multilingual plugin for WordPress. Go Multilingual in minutes with full WordPress support. Translate your site easily with this localization plugin.
- How many websites use WP Multilang – Translation and Multilingual Plugin?
- WhatStack has detected WP Multilang – Translation and Multilingual Plugin on 0 websites in our database.
- How do you detect WP Multilang – Translation and Multilingual Plugin?
- We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify WP Multilang – Translation and Multilingual Plugin with high accuracy using signature-based pattern matching.