marked VS markdown-it

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.

Parse it into HTML using markdown-it

We can easily use markdown-it, a markdown parser for rendering a mix of JavaScript and plain text into a markdown file. To get started, kindly create a new directory with the following file structure:

github.com/markdown-it/markdown-it - markdown biblioteca.

Recently, I am using markdown-it. Due to the nature of Vue and virtual DOM. You cannot style style inside v-html with scoped style. The only solution for me is global css and deep selector. I choose the latter

You could probably use markdown-it in your web app to create a notes program where Markdown is used. That tool has lot of plugins. I used it in a small project for myself to test it and it worked like a charm and you can style it so it looks modern. Nevertheless I do not remember if there is a plugin for collaborative writing so users can edit the same file simultaneously but if it does not exist, you can probably work that out by yourself.

markdown-it - Markdown parser done right. Fast and easy to extend.

I don't quite get what you mean. I've used [markdown-it](https://github.com/markdown-it/markdown-it) and overwrite its render rule for images, so it returns an NuxtImg instead of an native img tag.

I've been using markdown-it and highlight.js for code snippets, and so far it's been working pretty great straight out of the box without any other parsing or format prompting

It then, gets compiled down to regular HTML by a markdown processor so that the browser can understand it and display it on the screen.

Maybe Markdown It? link