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  1. Stackups
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  3. Chart.js vs Plotly

Chart.js vs Plotly

OverviewDecisionsComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks362
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
Chart.js
Chart.js
Stacks1.6K
Followers786
Votes43
GitHub Stars66.7K
Forks12.0K

Chart.js vs Plotly: What are the differences?

Chart.js and Plotly are both popular data visualization libraries used to create interactive and dynamic charts and graphs on websites. While they share some similarities, there are several key differences between the two.

  1. Integration: Chart.js is a simple and lightweight library that can be easily integrated into any website using JavaScript. It provides a straightforward API for creating charts with minimal setup. On the other hand, Plotly is a more powerful library that supports multiple programming languages, including Python, R, and Julia. It offers a wide range of features and functionality but requires more setup and configuration.

  2. Chart Types: Chart.js offers a diverse range of chart types, including line charts, bar charts, pie charts, and radar charts. It provides a good selection of basic chart types that cover most common use cases. In contrast, Plotly offers a larger variety of chart types, including 3D charts, heatmaps, contour plots, and geographic maps. It is better suited for complex and specialized visualizations.

  3. Interactivity: Chart.js provides basic interactivity options, such as tooltips and responsive resizing, but it lacks advanced interactivity features like zooming, panning, and hover effects. On the other hand, Plotly offers extensive interactivity capabilities, including zooming, panning, hover effects, and linked brushing. It provides a more interactive and immersive experience for users.

  4. Data Visualization Options: Chart.js focuses primarily on creating static charts and graphs. While it supports real-time updates, it is not designed for streaming or dynamically updating data visualization. In contrast, Plotly excels in dynamic data visualization and streaming scenarios. It allows for real-time updates, animated transitions, and streaming data visualization.

  5. Community and Documentation: Chart.js has a large and active community with extensive documentation, examples, and resources available online. It is a widely used library with a strong community support network. Plotly also has a growing community and provides comprehensive documentation, but it may not be as extensive or established as Chart.js.

  6. Cost: Chart.js is an open-source library that is free to use and doesn't require any paid licenses. It is a cost-effective solution for simple data visualization needs. Plotly, on the other hand, offers both open-source and commercial licenses. While the open-source version is free to use, the commercial licenses come with additional features and support, making it more suitable for enterprise-level projects.

In summary, Chart.js is a lightweight and easily integrable library with a focus on simplicity and basic charting needs. It is suitable for small to medium-scale projects with limited interactivity requirements. On the other hand, Plotly is a more powerful and versatile library that offers advanced interactivity, a wide range of chart types, and dynamic data visualization capabilities. It is better suited for complex projects with extensive interactivity and specialized visualization needs.

Advice on Plotly.js, Chart.js

Shaik
Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

246k views246k
Comments
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.

42.7k views42.7k
Comments

Detailed Comparison

Plotly.js
Plotly.js
Chart.js
Chart.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.

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

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive
Statistics
GitHub Stars
17.9K
GitHub Stars
66.7K
GitHub Forks
1.9K
GitHub Forks
12.0K
Stacks
362
Stacks
1.6K
Followers
694
Followers
786
Votes
69
Votes
43
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
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
Cons
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
React
React
AngularJS
AngularJS

What are some alternatives to Plotly.js, Chart.js?

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.

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

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.

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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