Websites using MathJax 2.6.1
MathJax is a cross-browser JavaScript library that displays mathematical notation in web browsers, using MathML, LaTeX and ASCIIMathML markup.
44 live MathJax 2.6.1 sites, ready to export.
That's how many MathJax 2.6.1 websites are in VersionDB right now, each with its full tech stack, contact details, and social profiles.
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Every MathJax 2.6.1 website we detected in China.
Only sites where a personal, company-hosted email was found.
Sites with at least one personnel LinkedIn profile.
Start with the highest-traffic end of the dataset.
Limit results to MathJax 2.6.1 websites on .com domains.
Only sites where an organisation phone number was found.
Websites Using MathJax 2.6.1
A sample of live MathJax 2.6.1 sites from our latest crawl, with the other technologies each one runs.
| Domain | Also runs | Crawl Date |
|---|---|---|
| saranextgen.com | September 17, 2026 | |
| sczyh30.com | August 19, 2026 | |
| mbinary.xyz | August 18, 2026 | |
| ccky7.cc | August 18, 2026 | |
| nvon.nl | August 17, 2026 | |
| interimm.org | August 17, 2026 | |
| jinningli.cn | August 17, 2026 | |
| yaclass.at | August 17, 2026 | |
| eson.ninja | August 17, 2026 | |
| langx1ng.github.io | August 16, 2026 |
How many websites use MathJax 2.6.1?
We found MathJax 2.6.1 on 44 websites in our September 2026 crawl, across 9 countries.
Which countries use MathJax 2.6.1 the most?
By number of websites, the top countries are China (20%, 9 sites), India (5%, 2 sites), United States (5%, 2 sites), Austria (2%, 1 site) and Finland (2%, 1 site). Together they account for 34% of the 44 MathJax 2.6.1 sites we track. 30% of the sites are in English, and .com is the most used domain ending, on 27% of them.
Where are MathJax 2.6.1 websites hosted?
The networks carrying the most MathJax 2.6.1 sites are Fastly, Inc. (19 sites), Cloudflare, Inc. (9 sites) and Hangzhou Alibaba Advertising Co.,Ltd. (5 sites).
What technologies are used with MathJax 2.6.1?
Across the 44 MathJax 2.6.1 sites we track, the technologies most often found alongside it are Cloudflare (57%, 25 sites), Fastly (57%, 25 sites), GitHub Pages (57%, 25 sites), Node.js (57%, 25 sites) and Varnish (57%, 25 sites).
Breakdown of MathJax 2.6.1 websites
What else they run, plus their language, hosting network, domain extension and country.
| Technology | Sites |
|---|---|
Cloudflare | 25 |
Fastly | 25 |
GitHub Pages | 25 |
Node.js | 25 |
Varnish | 25 |
Hexo | 24 |
cdnjs | 23 |
jQuery | 23 |
| HSTS | 13 |
Unpkg | 13 |
HTTP/3 | 11 |
Clipboard.js | 10 |
Google Analytics | 10 |
| Mermaid | 9 |
RequireJS | 8 |
Bootstrap | 7 |
|
Cloudflare Browser Insights | 7 |
Nginx | 6 |
Google AdSense | 4 |
FancyBox | 3 |
Google Hosted Libraries | 3 |
Java | 3 |
Ubuntu | 3 |
Google Tag Manager | 2 |
jQuery UI | 2 |
| Language | Sites |
|---|---|
| English | 13 |
| Chinese | 12 |
| Afrikaans | 2 |
| Welsh | 2 |
| Indonesian | 2 |
| Korean | 2 |
| Tagalog | 2 |
| Danish | 1 |
| German | 1 |
| Estonian | 1 |
| Finnish | 1 |
| Latin | 1 |
| Dutch | 1 |
| Swahili | 1 |
| Tswana | 1 |
| Yoruba | 1 |
| ASN | Sites |
|---|---|
| Fastly, Inc. | 19 |
| Cloudflare, Inc. | 9 |
| Hangzhou Alibaba Advertising Co.,Ltd. | 5 |
| Microsoft Corporation | 2 |
| Amazon.com, Inc. | 1 |
| BrownArc Enterprises Private Limited | 1 |
| Chinanet | 1 |
| DigitalOcean, LLC | 1 |
| FASTLY | 1 |
| Hubei Feixun Network Co., Ltd | 1 |
| Signet B.V. | 1 |
| The Constant Company, LLC | 1 |
| Virtual Machine Solutions LLC | 1 |
| TLD | Sites |
|---|---|
| com | 12 |
| io | 8 |
| cn | 5 |
| org | 3 |
| xyz | 3 |
| top | 2 |
| at | 1 |
| cc | 1 |
| fi | 1 |
| in | 1 |
| kr | 1 |
| me | 1 |
| ninja | 1 |
| nl | 1 |
| ooo | 1 |
| us | 1 |
| win | 1 |
| Country | Sites |
|---|---|
| Unknown | 25 |
| 🇨🇳 China | 9 |
| 🇮🇳 India | 2 |
| 🇺🇸 United States | 2 |
| 🇦🇹 Austria | 1 |
| 🇫🇮 Finland | 1 |
| 🇯🇵 Japan | 1 |
| 🇰🇷 South Korea | 1 |
| 🇳🇱 Netherlands | 1 |
| 🇸🇬 Singapore | 1 |
FAQ
Answers drawn from our latest crawl of MathJax 2.6.1 websites. Anything else, email us and we will look it up.
Through our own crawl, which checks each site's HTML, scripts and headers rather than relying on self-reported data.