UI kit VS marked

As an iOS engineer, you've likely encountered SwiftUI and UIkit, two popular tools for building iOS user interfaces. SwiftUI is the new cool kid on the block, providing a clean way to build iOS screens, while UIkit is the older and more traditional way to build screens for iOS. SwiftUI uses a declarative style where you describe how the UI should look, similar to Jetpack Compose in Android. UIkit, on the other hand, uses a drag-and-drop development style, which is relatively similar to Android XML.

All that's left is adding a little style. I won't claim to be a frontend engineer or a UI designer, so I just used UIKit to easily add modern-looking style to the HTML table and buttons. As mentioned throughout the article, the CSS classes and other small details are excluded since they are not directly relevant to the tutorial. See the full example on GitHub to try running it for yourself.

Can try UIKIT out if you're looking around, I've used it solely for some quick slider stuff in certain projects and use it fully in others. The docs are pretty good and they have a discord community that's fairly active.

UIKit is my favourite

I personally like UI Kit, they provide the css and js for basic components that look good. Just use their documentation as a reference, copy and paste the HTML with classes.

ProcessWireProcessWire is a fantastic CMS/CMF (content management framework) and I think it is a good fit for your skills. Works with any front end CSS although my personal preference is UIkitUIkit.

Ok, thanks. I am not an expert in UI/css so i am looking for a kit that has all my needed elements. So far i found this one with MIT license https://getuikit.com/ However it is still misses the popup that you see when the page loads. With you experience, is there any kit that has all elements that the website currently has?

A User Interface Kit, often known as a UI kit, is a group of materials that includes a variety of design elements, including UI components and styles. These kits are lightweight and adaptable front-end frameworks that are ideal for creating quick, effective web interfaces. User interface elements show items’ meaning and functionality. Widgets, navigation menus, and input forms are a few examples of UI components. In this article, we’ll discuss UIkit specifically.

3. UIKit

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.