StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. CanvasJS vs Plotly

CanvasJS vs Plotly

OverviewComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
CanvasJS
CanvasJS
Stacks24
Followers95
Votes20

CanvasJS vs Plotly: What are the differences?

CanvasJS and Plotly are both popular JavaScript libraries used for data visualization. While both libraries offer a wide range of features and options for creating interactive charts and graphs, there are several key differences between them.

  1. Customizability: One key difference between CanvasJS and Plotly is the level of customizability they offer. CanvasJS provides a more extensive set of customization options, allowing developers to control various aspects of the chart including axes, labels, tooltips, animations, and themes. On the other hand, Plotly offers a more simplified approach to customization, providing predefined templates and themes that can be easily applied to the chart.

  2. Integration: Another difference lies in the integration with other libraries and frameworks. Plotly has built-in support for integration with popular frameworks like React, Angular, and Vue.js. It provides dedicated APIs and wrappers that make it easier to embed Plotly charts within these frameworks. In contrast, CanvasJS does not have direct integration with these frameworks, although it can still be used alongside them with some additional effort.

  3. Offline Rendering: Offline rendering capabilities also differ between the two libraries. CanvasJS supports offline rendering out of the box, meaning charts can be rendered and viewed without an active internet connection. This can be particularly useful in scenarios where data visualization needs to be done in isolated environments. Plotly, however, relies on online libraries for rendering, and an internet connection is required for chart generation.

  4. Data Binding: The approach to data binding is different in CanvasJS and Plotly. CanvasJS offers a more intuitive way of binding data to charts, allowing data to be directly assigned to chart options or updated dynamically using its API. Plotly, on the other hand, uses a declarative syntax where data is passed as arguments to functions, making it more suited for reactive programming and data manipulation.

  5. 3D Charts: Another notable difference is the support for 3D charts. CanvasJS provides extensive support for creating 3D charts, including 3D bar charts, surface charts, and scatter plots. Plotly also offers 3D charting capabilities, but its focus is more on 2D charts with limited 3D options. This makes CanvasJS a better choice for applications that require in-depth visualization in three-dimensional space.

  6. Licensing: CanvasJS and Plotly also differ in their licensing models. CanvasJS is primarily a paid library, with various tiers of licenses available. While it does offer a free version with limited features, commercial usage and access to advanced features require a paid license. Plotly, on the other hand, is an open-source library and can be used freely in both commercial and non-commercial projects.

In summary, CanvasJS offers a higher degree of customizability, offline rendering capabilities, and extensive 3D charting support, while Plotly provides better integration with popular frameworks, a more streamlined approach to customization, and a free open-source licensing model. The choice between the two libraries depends on specific project requirements and preferences.

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)
or
Manual

Detailed Comparison

Plotly.js
Plotly.js
CanvasJS
CanvasJS

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.

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

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
30+ Chart Types; Renders across Devices & Platforms; Real-time Analytics; Themes; Interactivity; Zooming & Panning; Drilldown Chart; Ticks, Grids; Interlaced Colors; Synchronized Charts; Tooltip Syncing; Crosshair Syncing; Multiple Axes; Logarithmic Axes; Exporting as Image; Trend Lines; Numeric Axis; Date-Time Axis; Category Axis; Reversed Axis; Multiseries Chart; Dynamic Chart; Advanced Axis Labelling; Event Handlers;
Statistics
GitHub Stars
17.9K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
399
Stacks
24
Followers
694
Followers
95
Votes
69
Votes
20
Pros & Cons
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
Pros
  • 3
    30+ Chart Types
  • 1
    Responsive Charts
  • 1
    Performance
  • 1
    Exporting as Image
  • 1
    Low learning curve
Cons
  • 1
    It's not free
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
Django
Django
Amazon RDS
Amazon RDS
Google Cloud SQL
Google Cloud SQL
Swift
Swift
Google Cloud Platform
Google Cloud Platform
Vue.js
Vue.js
MySQL
MySQL
C#
C#
ASP.NET
ASP.NET
Flutter
Flutter

What are some alternatives to Plotly.js, CanvasJS ?

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.

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.

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.

ApexCharts

ApexCharts

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

Bokeh

Bokeh

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase