CHARTIST.JS vs D3.js

Overview

D3.js

Stacks2.0K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

Chartist.js

Stacks21

Followers48

Votes10

GitHub Stars93

Forks21

CHARTIST.JS vs D3.js: What are the differences?

Data Visualization Capabilities: CHARTIST.JS focuses on providing simple and responsive charts using SVG while D3.js is known for its flexibility and ability to create highly customized and complex visualizations using SVG, HTML, and CSS.
Learning Curve: CHARTIST.JS has a lower learning curve compared to D3.js, making it more accessible for beginners and those looking to quickly create attractive charts without delving into deep JavaScript coding.
Community Support: D3.js has a larger and more active community compared to CHARTIST.JS, leading to more resources, tutorials, plugins, and support available for users looking to extend and customize their visualizations.
Browser Compatibility: CHARTIST.JS is designed to work best with modern browsers, while D3.js offers better compatibility with older browsers, allowing for a wider range of users to access the visualizations.
Animation Capabilities: D3.js provides more advanced and dynamic animation capabilities, allowing for complex transitions and interactions, while CHARTIST.JS offers simpler and more straightforward animations for basic chart elements.
Plugins and Extensions: D3.js has a vast collection of plugins and extensions available, offering users a wide range of additional functionalities and features to enhance their visualizations, whereas CHARTIST.JS has a limited number of plugins and extensions available.

In Summary, CHARTIST.JS focuses on simplicity and responsiveness, while D3.js is more powerful and customizable but comes with a steeper learning curve.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on D3.js, Chartist.js

Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

56k views56k

Comments

Detailed Comparison

D3.js	Chartist.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.	It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.
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.	Simple handling while using convention over configuration;Fully responsive and DPI independent;Fully built and customizable with Sass;Responsive configuration with media queries
Statistics
GitHub Stars 111.7K	GitHub Stars 93
GitHub Forks 22.9K	GitHub Forks 21
Stacks 2.0K	Stacks 21
Followers 1.7K	Followers 48
Votes 653	Votes 10
Pros & Cons
Pros 195 Beautiful visualizations 103 Svg 92 Data-driven 81 Large set of examples 61 Data-driven documents Cons 11 Beginners cant understand at all 6 Complex syntax	Pros 5 Small size 4 SVG 1 Animations Cons 2 Weak documentation
Integrations
JavaScript React Native AngularJS React Bootstrap	WordPress Sass JavaScript CSS 3 React JSF Firefox HTML5 Google Chrome

What are some alternatives to D3.js, Chartist.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.

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.

Recharts

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

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

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

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

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 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.

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Related Comparisons

CHARTIST.JS vs D3.js: What are the differences?

Data Visualization Capabilities: CHARTIST.JS focuses on providing simple and responsive charts using SVG while D3.js is known for its flexibility and ability to create highly customized and complex visualizations using SVG, HTML, and CSS.
Learning Curve: CHARTIST.JS has a lower learning curve compared to D3.js, making it more accessible for beginners and those looking to quickly create attractive charts without delving into deep JavaScript coding.
Community Support: D3.js has a larger and more active community compared to CHARTIST.JS, leading to more resources, tutorials, plugins, and support available for users looking to extend and customize their visualizations.
Browser Compatibility: CHARTIST.JS is designed to work best with modern browsers, while D3.js offers better compatibility with older browsers, allowing for a wider range of users to access the visualizations.
Animation Capabilities: D3.js provides more advanced and dynamic animation capabilities, allowing for complex transitions and interactions, while CHARTIST.JS offers simpler and more straightforward animations for basic chart elements.
Plugins and Extensions: D3.js has a vast collection of plugins and extensions available, offering users a wide range of additional functionalities and features to enhance their visualizations, whereas CHARTIST.JS has a limited number of plugins and extensions available.

In Summary, CHARTIST.JS focuses on simplicity and responsiveness, while D3.js is more powerful and customizable but comes with a steeper learning curve.

CHARTIST.JS vs D3.js

Overview