reStructuredText vs Markdown for documentation

In this post I am going to share my experience of using Markdown and reStructuredText (RST) for technical documentation. As a library developer I have to write a fair amount of it, for example, the fmt library documentation, and I’ve used both languages extensively. In fact, I’m writing this blog post in Markdown.

At first sight RST and Markdown look very similar. Both are lightweight markup languages that emphasize plain-text readability. Both are widely used for API documentation, RST in Sphinx, the standard Python documentation system, and Markdown in Doxygen (optionally), MkDocs, the Rust Standard Library documentation, and other.

So what are the differences? According to John Gruber, the inventor of Markdown, “Markdown’s syntax is intended for one purpose: to be used as a format for writing for the web.” (source) and, in particular, it supports inline HTML. reStructuredText on the other hand is specifically designed for writing technical documentation. But what does it mean in practice?

The first important difference is extensibility and semantics. Since Markdown is designed for the web, HTML is the way to extend it. If there is something you can’t express with the lightweight markup you have to write HTML (actually there is another option which I’ll cover later). It has its advantages and disadvantages. It’s great when all you need is to produce a web page and that’s why I use Markdown right now. However, it’s not so great when you need to write an API documentation.

reStructuredText provides standard extension mechanisms called directives and roles which make all the difference. For example, you can use the math role to write a mathematical equation:

The area of a circle is :math:`A_\text{c} = (\pi/4) d^2`.

and it will be rendered nicely both in HTML using a Javascript library such as MathJax and in PDF via LaTeX or directly. With Markdown you’ll probably have to use MathJax and HTML to PDF conversion which is suboptimal or something like Pandoc to convert to another format first.

In addition to this, Sphinx provides a set of roles and directives for different language constructs, for example, :py:class: for a Python class or :cpp:enum: for a C++ enum. This is very important because it adds semantics to otherwise purely presentational markup:

The :meth:`str.format` method and the :class:`Formatter` class share the same
syntax for format strings (although in the case of :class:`Formatter`,
subclasses can define their own format string syntax).

I briefly mentioned this in my review of the Julia language which uses rudimentary Markdown in its apidocs, but I’m not sure many people understood it so I’m glad to have an opportunity to elaborate.

From the practical standpoint, it gives you cross-references with nice features like overload resolution for languages that support overloading and simplifies documentation of heterogeneous projects. And you can use the default roles to avoid writing them manually most of the time.

Although Markdown itself doesn’t seem to provide similar standard extension mechanisms like RST’s roles and directives, it is still possible to extend its syntax. This brings us to one of the issues with Markdown: there are almost as many “flavors” of it as there are flavors of Lay’s. With a zoo of subtly incompatible and even incomplete implementations of Markdown you have to keep in mind which version you are using in order to avoid mistakes. The Markdown Flavors page lists over 30!

As a markup format, Markdown is quite reasonable. A few issues that I had is invisible markup which IMHO is a very bad idea:

When you do want to insert a <br /> break tag using Markdown, you end a line with two or more spaces, then type return.

weird image syntax, some escaping issues, and compatibility problems that I mentioned earlier.

The only notable issue with RST that I had was inability to use nested markup. It was not critical though and I ended up using styles which turned out to be better than manual formatting anyway.

And last but not least is support for multiple languages. Even if your project is written in a single language right now, chances are that you may want to provide an API for a different language in the future. Being able to use the same documentation system may save you and your users a lot of time. Unfortunately few documentation systems support multiple languages. Doxygen and Sphinx are arguably the most popular polyglot systems, at least among those that use Markdown and RST. Sphinx produces way better output while Doxygen works with more languages. Note that C++ support in Sphinx improved considerably in version 1.4 and later thanks to amazing work by Jakob Lykke Andersen. Currently Sphinx supports Python, C, C++ and Javascript out-of-the box and Java (and other JVM-based languages) via javasphinx.

So why so many documentation systems are using Markdown? I think the reason lies in its simplicity. It is easy to add support for some “flavor” or subset of Markdown, possibly extending it for your own purposes. While it works in a short term, it creates a headache for users who have to learn quirks of yet another Markdown implementation and struggle with its limitations. Writing for the web is what Markdown was designed for and where it shines.

In contrast, Sphinx and RST were designed for writing documentation and have the advantage of consistency, extensibility, semantic rather than presentational markup, support for multiple languages (*), standard API. So I think they are a better choice in a long term. If you are writing such documentation, I encourage you to try Sphinx and if you are developing a documentation system for a language, consider adding a Sphinx domain for it.

[*] Although Doxygen also has it.

Last modified on 2016-06-16