knockout VS marked

The approach is not new, essentially a variation of Knockout, Alpine, and similar "JS-in-HTML" approaches.

SolidJS and Tauri form another potent combination for creating performant, lightweight, and secure experiences. SolidJS is a reactive UI library that is similar to Svelte in the way it compiles away reactivity and updates the DOM directly, but it also incorporates a fine-grained reactivity system reminiscent of libraries like Marko, Knockout, and MobX.

People act like Signals are a new discovery. KnockoutJS was using them 13 years ago and other libraries used them before that.

Knockout JS is a Javascript library which uses the MVVM pattern to bind data to certain DOM elements. Within Magento, we usually define a View-Model (which is a .js file) and a Template (which is a .html file), and the data in the template file is bound to the view-model, meaning whenever the data in the view-model changes, the template file changes too.

I still use Knockout[0] for almost an identical experience.

0: https://knockoutjs.com/

One of the first uses of this concept was in knockout, which used the same function with and without arguments for write/read access.

To do this, use a Javascript library called knockout.js

You could use a JavaScript framework called KnockoutJS which uses the MVVM pattern.

Magento is built with PHP. A good understanding of PHP is generally enough to perform different development tasks such as building modules. However, developers often need to work with libraries like Knockout.js and Less when developing themes.

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.