vitepress VS d3

There is a discussion related to naming on GitHub: https://github.com/vuejs/vitepress/discussions/548

> I initially gave VitePress a different name because I wanted to be able to explore a different architecture without worrying about backwards compat. After shipping the vuejs.org with VitePress, I believe VitePress is flexible enough to be a full replacement of current VuePress while offering better DX and better performance.

Given that version 1 landed as "VitePress" they probably decided to keep the name.

> ...

> I think we should ship VitePress stable as VuePress 3, but I am open to potential questions and concerns.

> Pros: Less confusion in the long run. There will be just one officially maintained SSG with better DX, better performance, and customization that fully aligns with standard Vite-based Vue apps.

> Cons: Potential confusion in the short run, since there are probably a lot of tutorials / integrations targeting VuePress 1. Still I think with the recent Vue 3 switch, users won't be surprised with a major upgrade for VuePress.

I was inspired by a great series of blog posts and decided to adapt the approach to my needs. In this blog post, I will go over the solution I used in my VitePress site but you can also check a more basic example in this CodePen.

While researching which static site generator we would use, we had a lot of frameworks to pick up from, but only some addressed our needs. While choosing, we needed it to have a good "default" template, out-of-the-box plugins, and be easy to extend its functionalities. From our research, the one that matched most criteria and felt the easiest to start and progress with was Vitepress.

They are using the default theme of VitePress which is a great tool for building content-centric websites such as documentation

Thankfully, an entire ecosystem of frameworks makes docs sites easy to build and services that make static sites easy to deploy. In this post, you'll learn how to build a docs site with VitePress and deploy it to the internet with Render.

I have a few Jekyll blogs including my personal one and I haven't had to touch the Jekyll part for quite a while (it takes a while to compile). I just write in Obsidian and then Github takes over.

I also maintain two VitePress[1] sites. Once I setup it up (I still use Sublime Text), I do the writing on Obsidian.

What I write and see in Obsidian is good enough that I have just done away with looking at how the site looks after I change/add/edit the text. I sometimes do but just to check build and if the sitemaps are generated, etc. -- routine hygiene.

1. https://vitepress.dev

Consider Nuxt instead of Vuepress/Vitepress. If you want the built-in theme in Vitepress, it's great, but if you want to make your own, using Nuxt with the Content plugin is probably better. I found the strong separation between theme and content to be too great, and if I have a docs SSG site using Vitepress and a webapp SSR site using Nuxt, I can't share themes easily anyway.

At least that was my conclusion starting with Vitepress, and ending up with Nuxt 3.

https://nuxt.com/

https://vitepress.dev/ (they haven't decided if they are going to replace Vuepress or not: https://github.com/vuejs/vitepress/discussions/548)

Another option vitepress

Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/

d3 - very power visualization library enabling dynamic visualizations. docs

Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).

D3.js: A robust library to visualize your data and create interactive data-driven visualizations.

They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.

I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. the country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. more populated areas got a greater fraction of the births). Data Sources and Tools Population and birthrate data for 2023 was obtained from Wikipedia (Population and birth rates). Population distribution across the globe was obtained from Socioeconomic Data and Applications Center (sedac) at Columbia University. Data is processed and visualized at a 1 degree x 1 degree resolution, each of which has a different probability of a birth occurring in a specific time period. D3.js was used to create the map elements and html, css and javascript were used to create the user interface.

When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.

Website: D3.js official site

D3js