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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. ApexCharts vs Plotly

ApexCharts vs Plotly

OverviewComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
ApexCharts
ApexCharts
Stacks135
Followers238
Votes16
GitHub Stars15.0K
Forks1.4K

ApexCharts vs Plotly: What are the differences?

Introduction

In this Markdown document, we will compare ApexCharts and Plotly, two popular data visualization libraries, and highlight their key differences.

  1. Chart Types: ApexCharts offers a wide variety of chart types such as line charts, bar charts, area charts, scatter plots, and more. It provides over 20 different chart types, giving users more options to visualize their data. On the other hand, Plotly offers an extensive range of chart types including line charts, scatter plots, bar charts, pie charts, heatmaps, and more. It provides over 40 different chart types, making it a more comprehensive library in terms of chart options.

  2. Interactive Features: ApexCharts provides interactive features like zooming, panning, and tooltips. Users can zoom in on specific areas of the chart, pan to navigate through large amounts of data, and hover over data points to see tooltips with relevant information. Additionally, ApexCharts supports events that can trigger actions based on user interactions. Plotly also offers similar interactive features including zooming, panning, tooltips, and hover interactions. However, Plotly goes beyond that and provides features like 3D rotation, box selections, and animation support for creating dynamic data visualizations.

  3. Ease of Use: ApexCharts is known for its simplicity and ease of use. It has a straightforward syntax that allows users to create charts with minimal configuration. ApexCharts also provides extensive documentation and examples to help users get started quickly. On the other hand, Plotly has a slightly steeper learning curve compared to ApexCharts. It offers more flexibility in terms of customization but requires more configuration to create complex charts. However, Plotly provides comprehensive documentation and a large community that can assist users in overcoming any challenges.

  4. Integration: ApexCharts is primarily designed for integration with web applications and frameworks. It has official integrations with popular frameworks like Vue.js, React, and Angular. ApexCharts can also be easily integrated into HTML pages using JavaScript. On the other hand, Plotly provides similar integration options with web frameworks like React, Angular, and Vue.js. In addition, Plotly supports integration with various programming languages including Python, R, and Julia, making it a versatile choice for data visualization across different platforms.

  5. Performance: ApexCharts is known for its excellent performance and rendering speed, even when dealing with large datasets. It utilizes modern technology such as SVG (Scalable Vector Graphics) and Canvas to ensure smooth and fast rendering. Plotly also provides good performance but may experience slower rendering for complex charts or when handling very large datasets. It is worth noting that Plotly's performance can be improved by utilizing WebGL for rendering in certain scenarios.

  6. Community and Support: ApexCharts has a growing community and provides community support through platforms like GitHub and Stack Overflow. It has an active development team that continually releases updates and bug fixes. Plotly, on the other hand, has a larger and more established community. It has been around for a longer time and is widely used in various industries. Plotly also offers dedicated support options, including commercial support for enterprise users.

In summary, ApexCharts and Plotly are both powerful data visualization libraries with their own strengths and specialties. ApexCharts offers a wide range of chart types, simplicity, and excellent performance, primarily for web integrations. Plotly, on the other hand, provides a larger variety of chart types, more advanced interactive features, wider language support, and a stronger community presence. Ultimately, the choice between the two will depend on the specific requirements and preferences of the user.

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Detailed Comparison

Plotly.js
Plotly.js
ApexCharts
ApexCharts

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.

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

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
-
Statistics
GitHub Stars
17.9K
GitHub Stars
15.0K
GitHub Forks
1.9K
GitHub Forks
1.4K
Stacks
399
Stacks
135
Followers
694
Followers
238
Votes
69
Votes
16
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
  • 4
    Provides zooming capabilities
  • 4
    Interactive charts
  • 3
    Open source with MIT license
  • 3
    Graphs renders in SVG
  • 2
    Multiple chart types such as pie, bar, line and others
Cons
  • 4
    Slow rendering
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
Vue.js
Vue.js
React
React
Angular
Angular

What are some alternatives to Plotly.js, ApexCharts?

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.

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.

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.

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