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  1. Stackups
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  4. Charting Libraries
  5. CanvasJS vs Recharts

CanvasJS vs Recharts

OverviewDecisionsComparisonAlternatives

Overview

CanvasJS
CanvasJS
Stacks24
Followers95
Votes20
Recharts
Recharts
Stacks232
Followers258
Votes36
GitHub Stars26.2K
Forks1.8K

CanvasJS vs Recharts: What are the differences?

Introduction

CanvasJS and Recharts are both popular charting libraries that developers can use to create interactive and visually appealing charts on websites. While they serve the same purpose, there are key differences between the two that make them unique in their own ways.

  1. Chart Types: CanvasJS offers a wide range of chart types including line, column, bar, area, pie, doughnut, scatter, and more. On the other hand, Recharts primarily focuses on basic chart types like line, area, bar, and scatter charts, making it a more suitable choice for simpler charting requirements.

  2. Dependencies and Size: CanvasJS is a standalone library that does not have any dependencies, which means it can be easily integrated into any web project without adding extra weight. Recharts, on the other hand, requires dependencies such as React and D3, which makes it more suitable for React-based projects. The additional dependencies also increase the overall size of Recharts compared to CanvasJS.

  3. Customization Options: CanvasJS provides a rich set of customization options and configuration settings, allowing developers to fine-tune every aspect of their charts. It offers deep customization with features like axis customization, data label customization, interactivity, and more. Recharts, although it provides basic customization options, may not offer the same level of control and customization as CanvasJS.

  4. Performance and Efficiency: CanvasJS is known for its high performance and efficiency due to its lightweight nature and optimized rendering. It utilizes HTML5 canvas for rendering charts, resulting in smooth and fast rendering even with a large amount of data. Recharts, being built on top of React and D3, may have some performance overhead, especially when dealing with complex charts or a large number of data points.

  5. Documentation and Community Support: CanvasJS has comprehensive and well-documented APIs, making it easy for developers to get started and find solutions to their queries. It also has an active community, which means more resources and support are available. Recharts, although it has decent documentation, may not be as comprehensive or as well-established in terms of community support as CanvasJS.

  6. License and Pricing: CanvasJS offers both free and paid versions, with the free version having limited features and branding. The paid versions come with additional features and commercial use licenses. Recharts, on the other hand, is an open-source library released under the MIT License, allowing unrestricted usage and modification.

Summary

In summary, CanvasJS provides a wider range of chart types with deep customization options, high performance, and efficient rendering, while Recharts focuses on basic chart types with React and D3 dependencies and offers open-source usage. Each library has its own strengths and considerations, so the choice between them depends on specific project requirements and preferences.

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Advice on CanvasJS , Recharts

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

Detailed Comparison

CanvasJS
CanvasJS
Recharts
Recharts

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

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

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
-
GitHub Stars
26.2K
GitHub Forks
-
GitHub Forks
1.8K
Stacks
24
Stacks
232
Followers
95
Followers
258
Votes
20
Votes
36
Pros & Cons
Pros
  • 3
    30+ Chart Types
  • 1
    Low learning curve
  • 1
    Interactivity
  • 1
    Synchronized Charts
  • 1
    Themes
Cons
  • 1
    It's not free
Pros
  • 11
    Very intuitive API
  • 8
    Built for React, from scratch
  • 7
    Responsive
  • 5
    Composable chart elements
  • 3
    Easy to use
Cons
  • 2
    Not considered time series charts
Integrations
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
React
React
D3.js
D3.js

What are some alternatives to CanvasJS , Recharts?

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.

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.

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