react-dnd VS d3

react-dnd is quite powerful but a bit complex and requires some getting used to.

The library is fairly simple to use with lots of interesting, and innovative use cases in real world applications. It has more than 19K stars on GitHub and more than 1.8 million weekly downloads on NPM as of August 2023.

Explore complex drag-and-drop interactions with React DnD. Perfect for building intricate interfaces.

https://github.com/react-dnd/react-dnd https://github.com/atlassian/react-beautiful-dnd

React DnD.

react-dnd: This is very popular, but it’s a bit complex to use.

I recently had to look through the wild and decide which drag and drop library works best for our use-cases. After skimming through the APIs and the github pages of some of the popular libraries, I decided to explore and play around with react-dnd and react-beautiful-dnd. This post covers the contrast between the 2 really amazing libraries.

MDN - HTML5 Drag and Drop API React DnD

In this article we are going to use one of the drag n drop library for react. There are few good drag n drop libraries for react like react-dnd, dnd-kit & react-beautiful-dnd.

Has anyone ever been able to test the drag-and-drop functionality from https://github.com/react-dnd/react-dnd using a functional component with useDrag and useDrop hooks?

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