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.
Based on our record, D3.js seems to be a lot more popular than Pixi.js. While we know about 73 links to D3.js, we've tracked only 2 mentions of Pixi.js. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
This has a high risk of being confused with pixi.js: https://github.com/pixijs/pixijs. - Source: Hacker News / 4 months ago
WebGL, I hear, has a similar API to OpenGL. (Also, WebGPU is coming at some point.) Or, you could use a thin library that handles the WebGL drawing of sprites for you. I prefer that option over using a full game engine: I find it's better to only include dependencies when they become necessary. I recently tried a web rendering library called PixiJS, and it seemed like a pretty clean and nice-sized API, and... - Source: Reddit / 7 months ago
Otherwise, if you want more granular control and nearly unlimited configurability, take a look at D3.js, and have your Python app be the backend feed data into D3. - Source: Reddit / 5 days ago
Hi sorry I forgot to add initially. The data source was 200k rss feed provided by the podcasts that provide a summary of the podcast as well as most/all episodes with additional information for each including title, description, keywords, person identifiers, etc. The visualization data was crunched with php/mysql and the bar chart race itself was done with the D3.js library available at https://d3js.org/. - Source: Reddit / 16 days ago
Very opiniated answer : can you define "beautiful" ? Example : I find http://worrydream.com and https://d3js.org beautiful. - Source: Reddit / 14 days ago
I think the short answer is no. Tableau is great for its purpose which is a business intelligence tool it is designed for something called VisQL or visual queries. i.e. Complex data exploration and story telling in a business setting. You want something much more flexible and, hopefully, open source. I would encourage you to check out flourish (low/no code and paid) https://flourish.studio/features/ and d3js... - Source: Reddit / 22 days ago
Tool: d3.js Data: SunCalc The inspiration came from these sunrise and sunset visualizations. - Source: Reddit / 28 days ago
p5.js - JS library for creating graphic and interactive experiences
Chart.js - Easy, object oriented client side graphs for designers and developers.
Paper.js - Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.
Plotly - Make charts and dashboards online from CSV or Excel data. Create interactive D3.js charts, reports, and dashboards online. API clients for R and Python.