D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
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Website | visjs.org |
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Based on our record, D3.js seems to be a lot more popular than Vis.js. While we know about 157 links to D3.js, we've tracked only 11 mentions of Vis.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
❔vis.js - Seems fits my need but prefer something else. Source: 7 months ago
One of the key created HTML elements is the element. Renderer class creates CanvasRenderingContext2D which is used for drawing shapes, text, images, and other objects. As we used vis.js before creating Orb, credit for some of the drawing logic in Orb (shapes, arrows, curved lines) goes to the developers who created it. They did a great job, and we didn’t want to reinvent the wheel. Canvas API with... - Source: dev.to / about 1 year ago
The graph was created with this JavaScript library: https://visjs.org/. Source: about 1 year ago
Data source: https://rapidapi.com/mrdimosthenis/api/papercliff/ Visualization library: https://visjs.org/. Source: over 1 year ago
In order to display the GitHub data in a graph, I used VisJS, a library specially designed to handle large amounts of dynamic data. The graph is rendered in the browser in an HTML canvas, making it possible to show complex animations efficiently. The VisJS network component was exactly what I needed to display a complex diagram of “nodes” and their connecting lines, called “edges”. Nodes and edges are represented... - Source: dev.to / over 1 year ago
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... - Source: Hacker News / 13 days ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 3 months ago
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... Source: 3 months ago
Recharts is a composable charting library built on React components and D3.js. It contains API’s which allow you to easily add 11 different highly configurable chart types to your React application. Recharts is one of the most popular React.js charting libraries with over 20k likes on GitHub. - Source: dev.to / 6 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 7 months ago
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