Prior to the current post, this blog contained 45 posts with a total of 2307 math items, where a math item is anything from single-letter variable identifiers to large, multi-line equations. That's an avarage of 51 math items per post, ranging from a few posts containing no math at all to one containing 267 items.
The HTML-CSS output is highly browser and client dependent. From basic things like installed fonts to tricky things like hacks around browser and OS bugs, MathJax does a lot of work to guarantee identical display across all browsers. So in a very real sense, you cannot store the HTML-CSS output -- as soon as it gets somewhat complex, it will not render well across browsers. ―Peter Krautzberger, MathJax manager
I have been quite pleased with MathJax, and I still am. There is one caveat, though: It can be a bit slow. This need for on-the-fly processing comes at a cost. Every time a page loads in someone's browser, everything has to be typeset from scratch. Often, this is not a problem. By the time the page has loaded and your eyes has found the opening paragraph, MathJax is done. But sometimes the page is very math-heavy and MathJax has to work hard for so long that it becomes annoying.
I recently tried using KaTeX for the math on this blog. This was an obvious thing to try since the blog is statically generated using Jekyll. When each instance of LaTeX markup was processed as part of the Markdown to HTML conversion, a small (node.js) web service wrapping the KaTeX libray was queried to produce the corresponding HTML code.
The KaTeX conversion failed in about 10% of time, though, because LaTeX commands and symbols not supported by KaTeX were being used (mostly multi-line environments). In these cases the conversion would fall back on using MathJax. (
It should be noted that some of the unsupported symbols were easy to add. These additions along with a few bug fixes can be found in my KaTeX fork.)
I was quite pleased with this hybrid solution and the increase in speed was clearly noticable. But how much faster? Was it possible to quantify the increase in speed?
An experiment was set up where my browser would run through all the blog's posts in succession. By listening to MathJax's
End signal, the next post would be loaded as soon as MathJax had finished typesetting the current page. For comparison, a similar experiment was performed, but this time without loading the MathJax library (the next page would now load as soon as the browser triggered the onload event). This way, the same pages and resources would be loaded—with the exception of MathJax, of course.
First, I timed running through all the posts using just MathJax and no KaTeX. The results can be summarized as follows:
- Posts: 45
- Math items: 2307 in total, 51 items/post on average
- Loading and typesetting all posts: 0.99 s/post on average
- As above but with MathJax disabled: 0.29 s/post on average
So it took an average of about one second to load a page and typeset the math. That didn't sound too bad. But many of the 45 posts contained no or little math, and some contained a lot. Focusing on just the 10 posts that contained most math items, the results were:
- Posts: 10
- Math items: 1523 in total, 152 items/post on average
- Loading and typesetting all posts: 2.1 s/post on average
- As above but with MathJax disabled: 0.28 s/post on average
More than two seconds before a user sees the final page is generally not good. And these numbers even benefit from fast hosting (the MathJax CDN and GitHub pages), a fast internet connection, and the fact that loading all the posts in succession allows the browser to make heavy use of caching.
How about when around 90% of the math was pre-converted to HTML by KaTeX? The numbers:
- Posts: 45
- Math items: A total of 2079 using KaTeX, 228 using MathJax
- Loading and typesetting all posts: 0.64 s/post on average
- As above but with MathJax disabled: 0.30 s/post on average
And the most math-heavy posts:
- Posts: 10
- Math items: A total of 1330 using KaTeX, 193 using MathJax
- Loading and typesetting all posts: 1.3 s/post on average
- As above but with MathJax disabled: 0.35 s/post on average
A significant improvement. And in fact, my own personal experience of loading posts before and after introducing KaTeX to my blog was even more noticable that these number seem to reflect. This is probably due to the fact that the initial paragraphs of posts generally contain fairly simple math items and thus items that KaTeX can handle. That gives MathJax time to work on the items below the fold.
I was quite pleased with this MathJax+KaTeX hybrid solution and I decided to keep on using it. One negative aspect is that the fonts used by MathJax and KaTeX are not identical, but the difference it is so small that it doesn't bother me.
I won't attempt to make any general conclusions regarding the speed of MathJax and KaTeX. Factors like browser, CPU speed, network bandwidth and especially the specific use case all influence the performance of both approaches. But in my case, with this blog, using KaTeX together with MathJax turned out to be a good fit.