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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Based on our record, D3.js seems to be a lot more popular than GPU.JS. While we know about 167 links to D3.js, we've tracked only 10 mentions of GPU.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.
How will this compare to Gpu.js? https://gpu.rocks/. - Source: Hacker News / about 2 years ago
Https://gpu.rocks/#/ Sorry, this is barely gameplay related, just interested if that could be kept synced. - Source: Hacker News / over 2 years ago
You can refresh the page to get a different random generator function. This code uses the great gpu.js library (https://gpu.rocks) to speed things up. The basic idea is to generate colors for each pixel at each given time step by running a randomly-generated function. The function is influenced by the concept of neural nets as universal function approximators. Basically, it takes the pixel x/y coordinates and some... - Source: Hacker News / over 3 years ago
Website nowadays have high end graphics and requires a lot of processing power so it might be a good IDEA to utilize the power of GPU. It might sound complicated but its really simple actually. Because there are many library out there to help you out. For example GPU.js. It also switch backs to regular mode if the user device don't have a GPU so no worries there. So get started now by reading the DOCS. - Source: dev.to / over 3 years ago
I know there's a lot of Javascript developers on this forum. If you want to get into GPU programming, I highly recommend gpu.js [1] library as a jumping off point. It's amazing how powerful computers are and how we squander most our cycles. [1] https://gpu.rocks/#/ Disclaimer: I have one un-merged PR in the gpu.js repo. - Source: Hacker News / over 3 years ago
Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / 2 months ago
Document address: D3.js Official Document. - Source: dev.to / 5 months ago
D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 7 months ago
A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 7 months ago
RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 9 months ago
gpgpu.js - JavaScript library to use the GPU in the browser through WebGL
Chart.js - Easy, object oriented client side graphs for designers and developers.
WebMonkeys - JavaScript library for massively parallel GPU programming
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
The Battle for Wesnoth - The Battle for Wesnoth is a turn-based tactical strategy game with a high fantasy theme.
Plotly - Low-Code Data Apps