PrismJS VS marked

For Code highlighting, I am using Prism.js. First I am loading the styles file inside the _app.tsx file and inside the CodeBlock component, I am loading the styling that gives us beautiful syntax highlights.

Luckily, implementing syntax highlighting in our simple code editor is easy with the use of external libraries. There are several JavaScript libraries available, such as Prism and Highlight.js. For our editor, we'll use Prism since it's easy to use and supports a wide range of programming languages.

🌈 Prismjs Code highlighting, use it with Marked

I'm trying to implement the new feature in a similar way, but not exactly the same, so my plan is going to modify unwrapMdxCodeBlocks function and apply Prism to highlight the code blocks.

Hey all, I've been taking notes as I learn Godot engine, using the Editor Syntax Highlight plugin, but it doesn't show highlighting in edit mode unlike how it does for other languages. I read on a forum somewhere that this plugin/Obsidian uses [PrismJS](https://github.com/PrismJS/prism/issues) for syntax highlighting, which has gdscript on its list of supported languages, yet it doesn't work. Any help would be appreciated thank you!

I tend to use https://prismjs.com/ on my blog. On the website you click which languages you want to support (e.g. Python, JavaScript, ...) and get a custom set of CSS and JS files which you load into your template. Code than has to be wrapped in

Or this one for csharp which is more complex https://github.com/PrismJS/prism/blob/master/components/prism-csharp.js

I believe Obsidian utilizes PrismJS as its default syntax highlighter for code blocks.

I have a problem with using PrismJS with SvelteKit. I can get the basic languages to work like javascript, but I can't load additional ones using the loadLanguages function, because of the Vite (or at least I think that is the problem). Is there any way to load additional languages highlighting? I am also using tailwind css and flowbite-svelte.

Prismjs was replaced by Shiki and rehype-pretty-code.

Next, install gray-matter to extract metadata from the front matter of markdown files, and marked to convert the markdown files to HTML:

📑 Marked Markdown parser. Use it to create your own markdown editor.

Vrite SDK provides a few built-in input and output transformers. These are functions, with standardized signatures to process the content from and into Vrite. In this case, gfmInputTransformer is essentially a GitHub Flavored Markdown parser, using Marked.js under the hood.

Another contestant in this realm is Bright[1]. It runs entirely on the server and doesn't increase bundle size as seen here[2]. Regarding parsing speed tree-sitter is without a doubt performant since it is written in Rust, but I don't have any problems "parsing on every keystroke" with a setup containing Marked[3], highlight.js[4] and a sanitizer. I did however experience performance issues with other Markdown parser libraries than Marked.

[1]: https://bright.codehike.org/

[2]: https://aihelperbot.com/test-suite

[3]: https://github.com/markedjs/marked

[4]: https://highlightjs.org/

The project uses markedJS to convert markdown into HTML, this is their GitHub page.

To handle pasting block Markdown content like this, I had to tap into ProseMirror and implement a custom mechanism (though somewhat based on TipTap’s paste rules), detecting starting and ending points of the blocks and parsing them with Marked.js.

I am using marked for markdown parsing together with marked-highlighting to handle syntax highlighting and everything is working as it should.

I'm trying to render user input using SvelteMarkdown (that uses marked).

GPT API returns data in markdown format. You can parse it using a Markdown library and string manipulation. On Electron app I developed https://jhappsproducts.gumroad.com/l/gpteverywhere, I used https://github.com/markedjs/marked and a code syntax highlighting package to display code blocks. And used JavaScript string manipulation to detect when code blocks start and end so I could add COPY/SAVE buttons to the blocks. I hope this helps, and happy coding! :)

Again, with streaming enabled, you’ll now receive new tokens as soon as they’re available. Given that OpenAI’s API uses Markdown in its response format, a full message will need to be put together from the incoming tokens and parsed to HTML, as accepted by the replaceContent function. For this purpose, I’ve used the Marked.js parser.