react-virtualized VS react-markdown

You may increase the rendering efficiency of tabular and huge list data by using the React Virtualized module. React apps perform better overall when the quantity of requests and DOM elements is limited. React Virtualized is comparable to many other tools; however, what sets it apart from the competition is the sheer volume of features and excellent upkeep.

17.react-virtualized

If you have been using React for awhile, you may have heard of the infamous virtualisation library react-window or it's predecessor react-virtualized

React Virtualized is a React library that helps you work with large lists and tabular data efficiently in React. It has more than 25K stars on GitHub and more than 2.5 million weekly downloads on NPM as of August 2023.

Use virtualization (e.g. react-virtualized) to prevent off-screen components from actually rendering.

Virtualization can be achieved using third-party libraries like react-window or react-virtualized. These libraries provide a way to render only the visible data and load more data as needed, resulting in faster application performance.

You can implement the same pattern on the web when dealing with large amount of data. There are some libraries for React that trivialize this, like https://github.com/bvaughn/react-virtualized

Oh, right. I totally forgot to mention that– but the idea of "less rendering" in this case seems less like a Suspense concern and more like a windowing concern. I've written a few libraries for that stuff (react-window and react-virtualized) although there are others that may fit your needs better. Their main focus is limiting what you're rendering to more or less only what's on the screen at any given point. Combine that with memoized filtering and I would imagine you're set.

I've used the InfiniteLoader from react-virtualized in combination with useInfiniteQuery from @tanstack/react-query and it was relatively painless.

Here’s a react library https://github.com/bvaughn/react-virtualized

This error related to the ReactMarkdown component and the useDisclosure hook in the @chakra-ui/react.

The example above uses react-markdown, but you can use any library you want to render the markdown content. You can also use a transform function to modify the markdown content during the build process. Here is an example that uses MDX to compile the markdown content.

21.react-markdown

github.com/remarkjs/react-markdown - Biblioteca para renderizar markdown em nosso componente react.

3. Setup react-markdown and @tailwindcss/typography

The OpenAI API returns responses in Markdown format. To display responses from the chat, which contain formatting, I used the ReactMarkdown component. For code inserts, I used React Syntax Highlighter.

You can also choose to convert this to Markdown and use our Markdown metafield instead if you prefer, just note you’ll need to install a markdown package to do so. The article Building React Components from headless CMS markdown is a great read about how a package like React Markdown parses markdown from a headless CMS, and explains how to render markdown in a Next.js application.

Thank you! It's actually all thanks to the amazing react-markdown package (https://github.com/remarkjs/react-markdown), can't take any credits there :')

Perhaps something like a markdown renderer. There are plenty of projects that can render markdown, so you could store your blogs that way instead.