co-author here

we put in a lot of effort into our docs and we'd greatly appreciate any criticism or feedback! Langfuse is powerful but the docs should help beginners to quickly get started and then incrementally use more features.

docs are OSS, repo: https://github.com/langfuse/langfuse-docs

built using: https://github.com/shuding/nextra

However, this may just be due to the lack of proper documentation from the Nextra side of things (shoutout to Nextra though, regardless).

Nextra - Nextra is another option for creating documentation sites. While it might not be as well-known as Docusaurus, Nextra offers a modern and minimalist approach to building documentation. It is designed to be lightweight and user-friendly, making it a good choice for those who prefer a simple and clean documentation style. You can explore more about Nextra on their official website.

I have looked at https://nextra.site/ but that doesn't work with the app router yet. So I'm wondering if there's another alternative.

You could also have a look at Nextra. You can use mdx components to build your blog (including support for server-side fetching). I'm currently using their documentation template, but it seems they also have a blog template.

We write everything in Markdown, as it's the closest you'll get to a 'universal' format. Then, we use a static site generator to turn the docs into a website. Current projects are using Nextra for this. If you ever need to change site generators, you still have all the markdown docs and image files, so it's pretty easy to change.

https://nextra.site/ is nice

Today I found this tool for Next.js called Nextra. You can effortlessly create a blog post website or a documentation website. All you need is markdown. Simply export your markdown from Notion and utilize it with Nextra to enjoy all the cool features, including full-text search, syntax highlighting, dark/light mode, and even image support. Everything is generated at build time, making it a static website which is Blazingly fast. https://nextra.site/

Link: https://swr.vercel.app/

Now, it's time to consume our API. We'll use React for this tutorail, but feel free to use any other framework you prefer; the process remains the same. Additionally, we'll utilize SWR to fetch data from the API and TypeScript to ensure type safety.

'use client'; import FormPostUpdate from './components/FormPostUpdate/FormPostUpdate'; import FormDelete from '../app/components/FormDelete/FormDelete'; import { useFetch } from './hooks/useFetch'; import { useFetchSWR } from './hooks/useFetchSWR'; import Chart from './components/Chart/Chart'; export default function Home() { // Uncomment the code below and comment out the "useFetch" code if your want to use SWR for data fetching --> https://swr.vercel.app/docs/with-nextjs // const { data, error, isLoading } = useFetchSWR( // 'http://127.0.0.1:8000/api/anime/' // ); // Uses the Fetch API for data fetching const { data, error, isLoading } = useFetch( 'http://127.0.0.1:8000/api/anime/' ); if (error) return

An error has occurred.

; if (isLoading) return

Loading...

; console.log(data); return ( <>

POST: Add Anime Form

UPDATE: Update Anime Form

Select an ID from the list. You can change the data for Anime ID, Name and Release.

DELETE: Delete Anime Form

GET: Anime Data List

{data.map((anime) => (

• {anime.anime_name}

• ID: {anime.id}
• Anime ID: {anime.anime_id}
• Anime Release Year: {anime.anime_release}

))}

); }

There are libraries like SWR, RTK Query, and React Query that simplify the data fetching process on the client and take care of the state, error handling, caching, and re-fetching for you.

Then install the package SWR into your application with the following command:

SWR

I would suggest taking a look at SWR [0]. I think it strikes a very nice balance between using fetch and something more heavy-handed like React Query.

[0] https://swr.vercel.app/

Check out the official documentation for SWR here

SWR: A React Hooks library for remote data fetching. It supports features like caching, revalidation, error handling, prefetching, pagination, and support for SSG and SSR. Its bundle size is 10kb minified and 4.4kb gzipped

SWR Library