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, Hugo should be more popular than D3.js. It has been mentiond 388 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.
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 / 3 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 / 8 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 / 8 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
A few days back, I wrote a blog post about static site generators, in particular how I decided to migrate my blog from Zola to Hugo. One of my points was to be able to hack my own content before generating the final HTML. - Source: dev.to / 7 days ago
This post is a summary of my recent decision to go back to Hugo after using Zola. I also report on how LLM assistants with Web access can aid in such decisions, not as an authority but as a research assistant. - Source: dev.to / 14 days ago
Hugo is a fast and flexible static site generator built in Go, known for its speed and large theme ecosystem. It supports markdown, taxonomies, multilingual content, and powerful templating with minimal dependencies. Hugo is highly performant and well-suited for building large-scale documentation sites. It’s ideal for teams seeking speed and customization with minimal runtime requirements. - Source: dev.to / 16 days ago
Try Hugo[1]. In depends on a template you choose alone whether Hugo will generate a landing page, a website, a blog, etc. [1] https://gohugo.io. - Source: Hacker News / 22 days ago
The content of the guide lives in a single Markdown file, content/_index.md. The website is built using Hugo. - Source: dev.to / about 2 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Jekyll - Jekyll is a simple, blog aware, static site generator.
Plotly - Low-Code Data Apps
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.