GreenSock-JS VS d3

I've been looking for a small project to do that would let me play with Greensock (GSAP), specifically a bit with some SVG files I generated with Corel Vector. When I saw the frontend challenge and had an afternoon at work with downtime between a few projects, I knew it'd be a great opportunity to explore a bit!

https://pixijs.com/ and https://gsap.com/. All of the source code for my posts can be found at https://github.com/samwho/visualisations :)

The GreenSock Animation Platform (GSAP) is a web animation library that provides the logic for adding animation to any site powered by JavaScript. React, being built on top of JavaScript, falls under this category. GSAP is an extremely fun animation tool to use because it offers a great deal of flexibility, you can animate anything using GSAP — texts, images, scroll actions, SVGs, UI interactions, anything!

GSAP (GreenSock Animation Platform)

If you want animations look into GSAP

gsap

Green Sock has over 16,400 GitHub stars and 400k weekly NPM downloads.

I used the Greensock (GSAP) library for the animation.

If you are talking about the animations you can start here, the layout looks pretty simple tbh, this is the most famous library for such things https://greensock.com

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