Software Alternatives & Reviews

The Data Visualisation Catalogue VS D3.js

Compare The Data Visualisation Catalogue VS D3.js and see what are their differences

The Data Visualisation Catalogue logo The Data Visualisation Catalogue

Reference tool for data visualisation

D3.js logo D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • The Data Visualisation Catalogue Landing page
    Landing page //
    2019-01-18
  • D3.js Landing page
    Landing page //
    2023-07-11

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.

The Data Visualisation Catalogue videos

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D3.js videos

Data Visualization with D3.js - Full Tutorial Course

More videos:

  • Review - Let's learn D3.js - D3 for data visualization (full course)

Category Popularity

0-100% (relative to The Data Visualisation Catalogue and D3.js)
Data Dashboard
17 17%
83% 83
Charting Libraries
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Data Visualization
10 10%
90% 90

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Reviews

These are some of the external sources and on-site user reviews we've used to compare The Data Visualisation Catalogue and D3.js

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D3.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Depending on your requirements, the best JavaScript library is D3.js, as it’s by far the most customizable. However, it’s also really complex and difficult to master. Plus, it’s not as compatible with TypeScript as it is with JavaScript, which can be off-putting for some developers. If you’d prefer a less complex library that you can use with TypeScript, ECharts, and...
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in...
Top 20 Javascript Libraries
D3 stands for Data-Driven Documents. With D3, you can apply data-driven transformations to DOM objects. The keyword with D3 is ‘data-driven,’ which means documents are manipulated depending on the data received. Data can be received in any format and bound with DOM objects. D3 is very fast and supports dynamic behavior for animation and interactions. There are plenty of...
Source: hackr.io
20+ JavaScript libraries to draw your own diagrams (2022 edition)
D3.js is a JavaScript library for manipulating documents based on data. Right now, I would say is the most popular library of its kind.
15 data science tools to consider using in 2021
Another open source tool, D3.js is a JavaScript library for creating custom data visualizations in a web browser. Commonly known as D3, which stands for Data-Driven Documents, it uses web standards, such as HTML, Scalable Vector Graphics and CSS, instead of its own graphical vocabulary. D3's developers describe it as a dynamic and flexible tool that requires a minimum amount...

Social recommendations and mentions

Based on our record, D3.js seems to be a lot more popular than The Data Visualisation Catalogue. While we know about 159 links to D3.js, we've tracked only 8 mentions of The Data Visualisation Catalogue. 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.

The Data Visualisation Catalogue mentions (8)

  • Learning Resources
    I contstantly refer to this data viz dictionary that explains the best viz to use for a ton of problems. https://datavizcatalogue.com/. Source: 10 months ago
  • Product Software Engineer wanting to get into data visualization. What should I do?
    Learn the various chart types and their best application: https://datavizcatalogue.com/. Source: over 1 year ago
  • is it possible to make this kind of chart?
    Because you are building unnecessary visual complexity. I recommend you take a gander at ink ratio and visualization types like this that are very easy to follow. Source: almost 2 years ago
  • What's you mental model to come up with visualisations for you data? Both to understand and to present
    Resources I use a lot: - https://datavizcatalogue.com - http://vita.had.co.nz/papers/layered-grammar.html - http://www.visual-literacy.org/periodic_table/periodic_table.html - https://www.anychart.com/chartopedia/. Source: almost 2 years ago
  • Data viz
    A quick Google on "data visualisation" brings up several sites that provide the info you're looking for. To help get you started, here's one from the first few results from that Google search: https://datavizcatalogue.com/. Source: about 2 years ago
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D3.js mentions (159)

  • A visual guide to Vision Transformer – A scroll story
    Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 8 days ago
  • Full Stack Web Development Concept map
    d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 1 month ago
  • Observable 2.0, a static site generator for data apps
    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 / 2 months ago
  • What is the technology stack used to create these live charts?
    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
  • Animated map showing frequency and location of births around the world [OC]
    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
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What are some alternatives?

When comparing The Data Visualisation Catalogue and D3.js, you can also consider the following products

Flourish - Powerful, beautiful, easy data visualisation

Chart.js - Easy, object oriented client side graphs for designers and developers.

CodeAnalogies - Visual explanations of web development topics

Plotly - Low-Code Data Apps

Visualoop - Dribbble for infographic & data visualization artists

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application