d3 VS chartist-js

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

Chartist.Js (Free)

Anyone here have some good suggestions for mature, easy to use graph libraries for Vue 3? Maybe I should write a wrapper around Chartist myself...

The simplest/smallest would be https://gionkunz.github.io/chartist-js/

Chartist - Really impressive charting library that is only 10KB (Gzip) with no dependencies. Round of applause for this awesome library that should play nice with svelte since it does not have any dependencies. I honestly can't remember why I didn't go with this for this tutorial but there's always time for another tutorial, am I right 😉?

For anyone interested or looking for a charting/vector map tool for Blazor, my organisation has developed and open sourced some packages that sit on top of a couple excellent JS libraries that handle these needs beautifully, Chartist.JS and JQuery Mapael. They are available in the nuget repository, source links below:

Chartist.js is a very modern, SVG-based library. Its most prominent feature is the SVG animations in the charts produced with this library.

Ah, here is something for the data analysts! Chartist is a nice JavaScript library for creating simple, responsive and customizable charts for your website. Chartist uses SVG to render them; hence, your charts can also obey custom CSS rules.

This is interesting.

I really wish this super small library named Chartist was more actively developed. It's only 10kb in size and generates SVG charts.

The huge benefit of SVG is that it's natively responsive and also prints extremely well. Wheres CSS doesn't

https://gionkunz.github.io/chartist-js/

I suspect we would use something that renders in SVG, and has good CSS control, like Chartist that has a small well rounded feature set, and that is fairly light. SVG also leaves us with an option for better a11y by providing at least a chance of screen reader usage.

Just barebones Tailwind CSS and ChartistJS for charts.