Markdown vs Rust: What are the differences?
What is Markdown? Text-to-HTML conversion tool/syntax for web writers, by John Gruber. Markdown is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML.
What is Rust? A safe, concurrent, practical language. Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
Markdown and Rust can be primarily classified as "Languages" tools.
"Easy formatting" is the top reason why over 345 developers like Markdown, while over 81 developers mention "Guaranteed memory safety" as the leading cause for choosing Rust.
Rust is an open source tool with 37.3K GitHub stars and 5.85K GitHub forks. Here's a link to Rust's open source repository on GitHub.
Asana, Code School, and GoSquared are some of the popular companies that use Markdown, whereas Rust is used by Dropbox, Sentry, and Roundscope Ukraine Labs. Markdown has a broader approval, being mentioned in 756 company stacks & 718 developers stacks; compared to Rust, which is listed in 39 company stacks and 105 developer stacks.
What is Markdown?
What is Rust?
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To handle its growing observability needs, Postmates created and open sourced Cernan, a telemetry and logging aggregation server. Ceran is built on Rust and Lua, and can ingest data from many sources and then push or exposes what it’s collected to many destinations, or “sinks.” It can also create or manipulate in-flight data with programmable Lua filters.
Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.
For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).
One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).
We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.
Jekyll is an open source static site generator (SSG) with a Ruby at its core which transform your plain text into static websites and blogs.
It is simple means no more databases, comment moderation, or pesky updates to install—just your content. As said earlier SSG uses Markdown, Liquid, HTML & CSS go in and come out ready for deployment. Lastly it's blog-aware permalinks, categories, pages, posts, and custom layouts are all first-class citizens here.
For Stack Decisions I needed to add Markdown in the decision composer to give our users access to some general styling when writing their decisions. We used React & GraphQL on the #Frontend and Ruby & GraphQL on the backend.
Instead of using Showdown or another tool, We decided to parse the Markdown on the backend so we had more control over what we wanted to render in Markdown because we didn't want to enable all Markdown options, we also wanted to limit any malicious code or images to be embedded into the decisions and Markdown was a fairly large to import into our component so it was going to add a lot of kilobytes that we didn't need.
We also needed to style how the markdown looked, we are currently using Glamorous so I used that but we are planning to update this to Emotion at some stage as it has a fairly easy upgrade path rather than switching over to styled-components or one of the other cssInJs alternatives.
Also we used React-Mentions for tagging tools and topics in the decisions. Typing
@ will let you tag a tool, and typing
# will allow you to tag a topic.
The Markdown options that we chose to support are tags:
If there are anymore tags you'd love to see added in the composer leave me a comment below and we will look into adding them.
I needed to make stack decisions accept a subset of Markdown, similarly to sites like Reddit or Stack Overflow.
Problem solved! #StackDecisionsLaunch
Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.
One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.
Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.
More than year ago I was looking for the best editor of Angular 2 application and I've tried Visual Studio Code and Atom. Atom had performance issues that put me off completely to use it again. Visual Studio Code became my main editor #Typescript files (and partly editor of #Java files). I'm happy with Visual Studio Code and I've never look back on Atom. There wasn't any reason to try Atom again, because Visual Studio Code fulfills my requirements very well. I use it for editing of TypeScript, #HTML, #Sass, JSON, Docker and Markdown.
At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.
Markdown represents a highly portable and lightweight text formatting. I had converted all of my Wordpress posts to Markdown prior to migrating over to Jekyll and eventually to Hugo. The fact that many generators support Markdown means that my content remains portable regardless of the platform/engine I use.
What you see is not what you get, never it is.
Documentation is better in Markdown format. You don’t need anything special to read it.
It is compact, portable, comparable.
Markdown is my text file format of choice.
Rust is used in Shirogane (https://github.com/Marc3842h/shirogane).
Shirogane is a osu! beatmap mirror built for shiro. We use Rust because of memory safe but still low level and high performance.
Because it is almost an effortless markup language without ever having to write an HTML tag. Of course, you'll want to use it in environments that make it look pretty (GitHub, etc.)
Using StackEdit to edit markdown files for blog roll and about sections. MD files are stored in Google Drive and pushed to GH pages through StackEdit.