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.
No Alasql videos yet. You could help us improve this page by suggesting one.
Based on our record, D3.js seems to be a lot more popular than Alasql. While we know about 159 links to D3.js, we've tracked only 2 mentions of Alasql. 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.
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 29 days ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 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: 5 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: 5 months ago
Sql.js is pretty hard to use as is otherwise you run out of memory really quickly. I was trying to use it as the in-memory SQL flavor for an open source data ide [0] but my naive approach of `SELECT * FROM VALUES (...), ...` would run out of memory after only a few hundred rows. I ended up switching to https://github.com/agershun/alasql which could handle up to 80MB of data or so. I don't think this is a... - Source: Hacker News / almost 3 years ago
For similar results, you can use SQL with IndexedDB running fully client-side: https://github.com/agershun/alasql. - Source: Hacker News / about 3 years ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Plotly - Low-Code Data Apps
PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
ForerunnerDB - ForerunnerDB is the only JavaScript database with a simple, rich JSON-based query language.