Need advice about which tool to choose?Ask the StackShare community!

C3.js

231
151
+ 1
4
D3.js

1.7K
1.7K
+ 1
642
Add tool

C3.js vs D3.js: What are the differences?

Developers describe C3.js as "A D3-based reusable chart library". c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications. On the other hand, D3.js is detailed as "A JavaScript visualization library for HTML and SVG". 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.

C3.js and D3.js can be categorized as "Charting Libraries" tools.

C3.js and D3.js are both open source tools. It seems that D3.js with 85.4K GitHub stars and 20.9K forks on GitHub has more adoption than C3.js with 8.4K GitHub stars and 1.39K GitHub forks.

New Relic, Weebly, and Repro are some of the popular companies that use D3.js, whereas C3.js is used by Key Location, Helpful, and Cask. D3.js has a broader approval, being mentioned in 525 company stacks & 89 developers stacks; compared to C3.js, which is listed in 20 company stacks and 5 developer stacks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of C3.js
Pros of D3.js
  • 2
    Easy to use
  • 2
    Reusable charts
  • 191
    Beautiful visualizations
  • 101
    Svg
  • 91
    Data-driven
  • 80
    Large set of examples
  • 60
    Data-driven documents
  • 23
    Visualization components
  • 20
    Transitions
  • 18
    Dynamic properties
  • 16
    Plugins
  • 11
    Transformation
  • 7
    Makes data interactive
  • 4
    Components
  • 4
    Enter and Exit
  • 3
    Exhaustive
  • 3
    Backed by the new york times
  • 3
    Open Source
  • 2
    Easy and beautiful
  • 1
    Angular 4
  • 1
    Awesome Community Support
  • 1
    Simple elegance
  • 1
    123
  • 1
    Templates, force template

Sign up to add or upvote prosMake informed product decisions

Cons of C3.js
Cons of D3.js
  • 1
    Dependent on D3.js which is not lightweight
  • 10
    Beginners cant understand at all
  • 5
    Complex syntax
  • 1
    123

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is C3.js?

c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.

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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use C3.js?
What companies use D3.js?
See which teams inside your own company are using C3.js or D3.js.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with C3.js?
What tools integrate with D3.js?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Sep 8 2017 at 2:54PM

Eventbrite-0

JavaScriptNode.jsReact+7
6
9641
What are some alternatives to C3.js and D3.js?
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.
NVD3
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions.
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
See all alternatives