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 should be more popular than Koa.js. It has been mentiond 160 times since March 2021. 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.
Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations. - Source: dev.to / 13 days ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / about 1 month ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / 2 months 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 / 3 months ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 6 months ago
In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints. - Source: dev.to / 6 months ago
The initial step is to create our entry point, from where the page will be rendered. In this case, we will use the koa framework. - Source: dev.to / 9 months ago
Koa.js: By the team behind Express, Koa.js utilized async/await for middleware, resulting in cleaner and more readable code. - Source: dev.to / 10 months ago
Backend is more tricky. - RESTful APIs I prefer Koajs - For a RPC/microsevice, I have only used gRPC - For a CLI, yargs and inquirer. Source: over 1 year ago
There are lot of different frameworks out there. If you learn one, there is no guarantee that the next job you find will use the same. For example if you learn Express and the next one used Koa or Nest. - Source: dev.to / over 1 year ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Plotly - Low-Code Data Apps
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Django - The Web framework for perfectionists with deadlines