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 Chai. While we know about 160 links to D3.js, we've tracked only 4 mentions of Chai. 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.
Mocha as the test runner, Chai as the assertion library, and the Hardhat Chai Matchers to extend Chai with contracts-related functionality. - Source: dev.to / almost 2 years ago
Assertion library we used: Chai (comes with a lot of plugins worth exploring). - Source: dev.to / about 2 years ago
While this is fine and I could have perfectly moved all my tests to use said assertion style, I like the descriptive way Jest tests look like. As a quick way to maintain certain similarity I reached for ChaiJS, an assertion library that is mainly used with mocha. Chai offers expect like assertions that can arguably be more descriptive than Jest’s. Instead of writing expect(…).toBe(true), you’d write... - Source: dev.to / over 2 years ago
The library offers a BDD testing style and fully exploits javascript promises - the resulting tests are simple, clear and expressive. Chakram is built on node.js, mocha, chai and request. - Source: dev.to / almost 3 years ago
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 / 20 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 2 months 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 / 4 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
EyeJS - A JavaScript testing framework for the real world.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Sinon.JS - Standalone test spies, stubs and mocks for JavaScript.
Plotly - Low-Code Data Apps
Jasmine - Behavior-Driven JavaScript
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application