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  4. Charting Libraries
  5. C3.js vs Chartify

C3.js vs Chartify

OverviewDecisionsComparisonAlternatives

Overview

C3.js
C3.js
Stacks398
Followers163
Votes4
Chartify
Chartify
Stacks17
Followers25
Votes0
GitHub Stars3.6K
Forks335

C3.js vs Chartify : What are the differences?

C3.js: A D3-based reusable chart library. c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications; Chartify : Easier chart creation in Python for data scientists, by Spotify. Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

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

C3.js is an open source tool with 8.42K GitHub stars and 1.4K GitHub forks. Here's a link to C3.js's open source repository on GitHub.

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Advice on C3.js, Chartify

Sudhan
Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

42.8k views42.8k
Comments

Detailed Comparison

C3.js
C3.js
Chartify
Chartify

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

Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

Comfortable - C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more.;Customizable - C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3.;Controllable - C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even if after it's rendered.
-
Statistics
GitHub Stars
-
GitHub Stars
3.6K
GitHub Forks
-
GitHub Forks
335
Stacks
398
Stacks
17
Followers
163
Followers
25
Votes
4
Votes
0
Pros & Cons
Pros
  • 2
    Easy to use
  • 2
    Reusable charts
Cons
  • 1
    Dependent on D3.js which is not lightweight
No community feedback yet
Integrations
D3.js
D3.js
Python
Python

What are some alternatives to C3.js, Chartify ?

D3.js

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.

Highcharts

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.

Plotly.js

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

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

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