Why developers like D3.js

What is D3.js?

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

D3.js is a tool in the Charting Libraries category of a tech stack.

D3.js is an open source tool with 95.8K GitHub stars and 22.5K GitHub forks. Here’s a link to D3.js's open source repository on GitHub

Who uses D3.js?

Companies

681 companies reportedly use D3.js in their tech stacks, including Accenture, Coursera, and Graphy.

Accenture

Coursera

Graphy

Clubhouse

Square

Zalando

Coinbase

Odoo

Strava

Developers

856 developers on StackShare have stated that they use D3.js.

Evandro Magalhães

TimeTicket

OpenBLOOD

Michael Parenteau

Sqor Sports Stack

Adphorus

Social Harvest Stack

paruckerr

William's Stack

D3.js Integrations

JavaScript, React, AngularJS, Bootstrap, and React Native are some of the popular tools that integrate with D3.js. Here's a list of all 17 tools that integrate with D3.js.

JavaScript

React

AngularJS

Bootstrap

React Native

C3.js

Recharts

Ext JS

React D3 Library

Pros of D3.js

179

Beautiful visualizations

Svg

Data-driven

Large set of examples

Data-driven documents

Visualization components

Transitions

Dynamic properties

Plugins

Transformation

Makes data interactive

Enter and Exit

Backed by the new york times

Components

Exhaustive

Open Source

Easy and beautiful

Angular 4

Simple elegance

Templates, force template

Awesome Community Support

Decisions about D3.js

Here are some stack decisions, common use cases and reviews by companies and developers who chose D3.js in their tech stack.

Axel Dürkop

at Hamburg University of Technology · Jun 25, 2020 | 6 upvotes · 40.6K views

Shared insights

D3.js

Neo4j

I want to build learning paths in a simple way and visualize them, the way Neo4j or D3.js do it. Example: I have a set of learning resources that can be connected depending on certain criteria. Thus, it would be possible for learners to start from various starting points and have learning paths depending on this starting point.

Following this, I need two things: first, a UI that lets me connect entries from a database so that a linear view, like a path, comes out. And second, a bird's eye view on the various paths like a force-directed graph that stems from the linear connections I made.

hala2030

Oct 26, 2020 | 5 upvotes · 27.9K views

Shared insights

Python

D3.js

Microsoft Excel

I'm a student, and I have a project to build an application (Visual analytics tool) that takes a Microsoft Excel file, cleans the data, and visualizes it. Also, the app should allow the user to filter and interact with it.

1- should I make it desktop application or web application? : I'm leaning toward (desktop)

2- D3.js OR Python?

3- better excel or CSV?

I'm a beginner Inspiration for interaction and look of the app: eventflow application.

See all decisions

Blog Posts

The Evolution of Eventbrite's Front-End Stack

Sep 8 2017 at 2:54PM

Eventbrite-0

9310

D3.js's Features

Declarative Approach for Individual Nodes Manipulation
Functions Factory
Web Standards
Built-in ELement Inspector to Debug
Uses SVG, Canvas, and HTML
Data-driven approach to DOM Manipulation
Voronoi Diagrams
Maps and topo.

D3.js Alternatives & Comparisons

What are some alternatives to D3.js?

three.js

It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

Tableau

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

See all alternatives

Related Comparisons