Websites Using Lightning

Lightning is a very simple and easy to customize WordPress theme which is based on the Bootstrap.

Categories: Translation

Official website: https://lightning.vektor-inc.co.jp/en/

34 websites using Lightning

• for-peace-ts.com
• sigmadesigns.com
• kcni.ne.jp
• nvcb.or.jp
• imamiya-ebisu.jp
• bible.or.jp
• yokohamanaika-clinic.com
• yachiho-kogen.com
• togakuren.com
• chat-noir.net
• thaimassage-navisite.com
• njc.co.jp
• moff-moff.jp
• utanoyu.com
• yamanakaya.jp
• spotgroup.co.jp
• newpoker.store
• palette-age.jp
• iimono.town
• cookpit.jp
• nekosanta.com
• saijuken.com
• ys-holdings.co.jp
• liccacastle.co.jp
• fukaya-nagoya.co.jp
• kyousou.club
• links.co.jp
• saidaittc.com
• vcom.it
• babepink-salon.jp
• sukeneko.com
• ex-unit.nagoya
• knet.ad.jp
• hokkaidookuyami.net

Lightning is ranked #72 of 158 in Translation by website adoption.

Translation alternatives ranked by popularity

1. Google Translate Widget — 16,948 websites
2. GTranslate — 2,929 websites
3. GeneratePress — 2,304 websites
4. Astra — 2,250 websites
5. Polylang — 1,417 websites
6. Weglot — 1,409 websites
7. Kadence WP Kadence — 1,210 websites
8. Genesis theme — 940 websites
9. TranslatePress — 929 websites
10. Woodmart — 674 websites

Technologies commonly used with Lightning

• PHP — 100% co-occurrence
• WordPress — 100% co-occurrence
• MySQL — 100% co-occurrence
• Font Awesome — 100% co-occurrence
• Open Graph — 85% co-occurrence
• VK All in One Expansion Unit — 85% co-occurrence
• Twitter Emoji (Twemoji) — 82% co-occurrence
• Schema.org — 79% co-occurrence

How WhatStack detects Lightning

WhatStack detects Lightning 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 Lightning?

Lightning is a very simple and easy to customize WordPress theme which is based on the Bootstrap.

How many websites use Lightning?

WhatStack has detected Lightning on 34 websites in our database.

How do you detect Lightning?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Lightning with high accuracy using signature-based pattern matching.