recharts vs chart.js vs d3
Data Visualization Libraries Comparison
Search packages..
1 Year
rechartschart.jsd3Similar Packages:
What's Data Visualization Libraries?

Data visualization libraries are essential tools for developers to create interactive and visually appealing representations of data. These libraries enable users to transform complex data sets into understandable charts, graphs, and other visual formats, enhancing data analysis and decision-making processes. They cater to various needs, from simple charts to complex visualizations, and are widely used in web applications to improve user engagement and data interpretation.

Package Weekly Downloads Trend
Github Stars Ranking
Stat Detail
Package
Downloads
Stars
Size
Issues
Publish
License
recharts9,805,03924,9874.64 MB4458 days agoMIT
chart.js4,458,15965,6804.95 MB4772 months agoMIT
d33,970,864110,341871 kB21a year agoISC
Feature Comparison: recharts vs chart.js vs d3

Ease of Use

  • recharts:

    Recharts is user-friendly for React developers, providing a declarative approach to building charts. Its integration with React makes it easy to manage state and props, allowing for quick development of responsive charts.

  • chart.js:

    Chart.js is designed for simplicity and ease of use, making it accessible for beginners. It provides a straightforward API and comes with built-in chart types that can be easily configured with minimal code.

  • d3:

    D3.js has a steeper learning curve due to its powerful capabilities and flexibility. It requires a good understanding of both JavaScript and SVG, which may be challenging for beginners but offers unparalleled customization for advanced users.

Customization

  • recharts:

    Recharts provides a good balance of customization options while maintaining simplicity. It allows for customization of chart components and styles, but may not reach the level of detail that D3 offers.

  • chart.js:

    Chart.js offers a decent level of customization through options and plugins, allowing developers to tweak chart appearances and behaviors. However, it may not support highly complex visualizations as effectively as D3.

  • d3:

    D3.js excels in customization, enabling developers to create virtually any type of visualization. It allows for detailed control over every aspect of the chart, from data binding to transitions and animations, making it the go-to choice for bespoke visualizations.

Performance

  • recharts:

    Recharts is built on React and benefits from React's virtual DOM for performance. It is efficient for rendering charts, especially when dealing with updates and state changes, making it suitable for dynamic data.

  • chart.js:

    Chart.js is optimized for performance with a focus on rendering speed for standard chart types. It handles large datasets reasonably well, but performance may degrade with highly complex or numerous charts on a single page.

  • d3:

    D3.js can handle large datasets efficiently, but performance largely depends on how well the developer manages the data binding and rendering process. Custom optimizations may be necessary for very large datasets or complex visualizations.

Community and Ecosystem

  • recharts:

    Recharts benefits from the React community, with good documentation and examples specifically for React developers. While its ecosystem is smaller than D3's, it is growing as more developers adopt it for React applications.

  • chart.js:

    Chart.js has a strong community and a wealth of plugins and examples available, making it easier for developers to find resources and support. However, its ecosystem is more limited compared to D3.

  • d3:

    D3.js boasts a large and active community, with extensive documentation, tutorials, and examples. Its ecosystem is rich, with many plugins and integrations available, making it a popular choice for data visualization experts.

Integration

  • recharts:

    Recharts is specifically designed for React applications, making it easy to integrate into any React project. Its component-based architecture aligns well with React's design principles, facilitating seamless use.

  • chart.js:

    Chart.js can be easily integrated into various web applications and frameworks, including vanilla JavaScript, Angular, and Vue. Its simplicity makes it a versatile choice for many projects.

  • d3:

    D3.js can be integrated into any web application but may require more effort to set up, especially in frameworks like React or Angular. It is highly flexible, allowing for integration with various data sources and formats.

How to Choose: recharts vs chart.js vs d3
  • recharts:

    Choose Recharts if you are working within a React ecosystem and want a library that integrates seamlessly with React components. It offers a simple API for building charts while leveraging the power of React's component model.

  • chart.js:

    Choose Chart.js if you need a simple, easy-to-use library for creating responsive and animated charts quickly. It is ideal for projects that require standard chart types and straightforward implementation without extensive customization.

  • d3:

    Choose D3.js if you require maximum flexibility and control over your visualizations. D3 is suitable for complex data-driven documents and allows for custom visualizations that can be tailored to specific needs. It is best for projects that demand intricate interactions and animations.

Similar Npm Packages to recharts

recharts is a composable charting library built on React components, designed to create responsive and customizable charts with ease. It leverages the power of SVG to render charts and provides a simple API that allows developers to create a variety of chart types quickly. Recharts is particularly well-suited for React applications, enabling seamless integration and a declarative approach to building visualizations.

While Recharts is a robust option for creating charts in React, there are other libraries available that also provide powerful charting capabilities. Here are a couple of notable alternatives:

  • chart.js is a popular JavaScript library for creating charts and visualizations. It is highly versatile and supports a wide range of chart types, including line, bar, radar, doughnut, and more. Chart.js is known for its simplicity and ease of use, making it a great choice for developers who want to quickly implement charts without a steep learning curve. It also offers responsive design features and can be easily integrated into various frameworks, including React, Angular, and Vue.

  • d3 (Data-Driven Documents) is a powerful JavaScript library for producing dynamic, interactive data visualizations in web browsers. Unlike Recharts and Chart.js, D3 provides low-level control over the rendering of charts and visualizations, allowing for highly customized and complex visual representations of data. While D3 has a steeper learning curve and requires a deeper understanding of SVG and the DOM, it is incredibly flexible and can be used to create virtually any type of visualization.

To see how Recharts compares with Chart.js and D3, check out the comparison: Comparing chart.js vs d3 vs recharts.

Similar Npm Packages to chart.js

chart.js is a popular open-source JavaScript library for creating interactive and visually appealing charts in web applications. It provides a simple and flexible API for developers to create various types of charts, including line, bar, radar, doughnut, and more. With its responsive design and extensive customization options, chart.js is widely used in data visualization projects across different industries. However, there are several alternatives available that also offer robust charting capabilities. Here are a few notable ones:

  • apexcharts is a modern charting library that provides a wide range of chart types and features. It is designed to be easy to use and highly customizable, making it suitable for both simple and complex data visualization needs. ApexCharts supports dynamic updates, responsive layouts, and interactive features such as tooltips and zooming. If you are looking for a library that combines ease of use with powerful features, ApexCharts is an excellent choice.

  • echarts is a comprehensive charting library developed by Baidu. It is known for its rich features and ability to handle large datasets efficiently. ECharts supports a variety of chart types and offers advanced features such as data visualization, animations, and interactive capabilities. It is particularly well-suited for applications that require complex visualizations and real-time data updates. If your project demands high performance and extensive customization options, ECharts is worth considering.

  • recharts is a composable charting library built on React components. It is designed to be simple and easy to use, making it a great choice for React developers who want to integrate charts into their applications seamlessly. Recharts provides a variety of chart types and allows for easy customization through props. If you are working within the React ecosystem and prefer a library that leverages React's component-based architecture, Recharts is a solid option.

To explore how chart.js compares with apexcharts, echarts, and recharts, check out the comparison: Comparing apexcharts vs chart.js vs echarts vs recharts.

Similar Npm Packages to d3

d3 is a powerful JavaScript library for producing dynamic, interactive data visualizations in web browsers. It leverages the full capabilities of modern web standards such as SVG, HTML, and CSS, allowing developers to create complex visual representations of data. D3 is highly flexible and provides a wide range of tools for data manipulation, binding data to the Document Object Model (DOM), and creating transitions and animations. While D3 is a robust option for data visualization, there are other libraries that serve as alternatives. Here are a few notable ones:

  • chart.js is a simple yet flexible JavaScript charting library for designers and developers. It provides a variety of pre-built chart types, including line, bar, radar, doughnut, and more. Chart.js is easy to use and offers a straightforward API, making it an excellent choice for those who need to create visualizations quickly without delving into the complexities of D3. It also supports responsive design, ensuring that charts look great on any device. If you are looking for a quick and efficient way to create beautiful charts with minimal configuration, Chart.js is a great option.
  • plotly.js is a high-level, declarative charting library that enables the creation of interactive, publication-quality graphs online. It supports a wide range of chart types, including 3D charts, statistical charts, and geographic maps. Plotly.js is built on top of D3 and stack.gl, providing a rich set of features for data visualization. It is particularly well-suited for data scientists and analysts who require advanced visualization capabilities and interactivity. If you need to create complex visualizations with minimal effort, Plotly.js is a powerful alternative to consider.

To explore how these libraries compare, check out the following link: Comparing chart.js vs d3 vs plotly.js.

README for recharts

Recharts

storybook Build Status Coverage Status npm version npm downloads MIT License

Introduction

Recharts is a Redefined chart library built with React and D3.

The main purpose of this library is to help you to write charts in React applications without any pain. Main principles of Recharts are:

  1. Simply deploy with React components.
  2. Native SVG support, lightweight depending only on some D3 submodules.
  3. Declarative components, components of charts are purely presentational.

Documentation at recharts.org and our storybook (WIP)

Please see the wiki for FAQ.

All development is done on the master branch. The current latest release and storybook documentation reflects what is on the release branch.

Examples

<LineChart width={400} height={400} data={data} margin={{ top: 5, right: 20, left: 10, bottom: 5 }}>
  <XAxis dataKey="name" />
  <Tooltip />
  <CartesianGrid stroke="#f5f5f5" />
  <Line type="monotone" dataKey="uv" stroke="#ff7300" yAxisId={0} />
  <Line type="monotone" dataKey="pv" stroke="#387908" yAxisId={1} />
</LineChart>

All the components of Recharts are clearly separated. The lineChart is composed of x axis, tooltip, grid, and line items, and each of them is an independent React Component. The clear separation and composition of components is one of the principle Recharts follows.

Installation

npm

NPM is the easiest and fastest way to get started using Recharts. It is also the recommended installation method when building single-page applications (SPAs). It pairs nicely with a CommonJS module bundler such as Webpack.

# latest stable
$ npm install recharts

umd

The UMD build is also available on unpkg.com:

<script src="https://unpkg.com/react/umd/react.production.min.js"></script>
<script src="https://unpkg.com/react-dom/umd/react-dom.production.min.js"></script>
<script src="https://unpkg.com/recharts/umd/Recharts.min.js"></script>

Then you can find the library on window.Recharts.

dev build

$ git clone https://github.com/recharts/recharts.git
$ cd recharts
$ npm install
$ npm run build

Demo

To examine the demos in your local build, execute:

$ npm run[-script] demo

and then browse to http://localhost:3000.

Storybook

We are in the process of unifying documentation and examples in storybook. To run it locally, execute

$ npm run[-script] storybook

and then browse to http://localhost:6006.

Releases

Releases are automated via GH Actions - when a new release is created in GH, CI will trigger that:

  1. Runs a build
  2. Runs tests
  3. Runs npm publish

Version increments and tagging are not automated at this time.

Release testing

Until we can automate more, it should be preferred to test as close to the results of npm publish as we possibly can. This ensures we don't publish unintended breaking changes. One way to do that is using yalc - npm i -g yalc.

  1. Make your changes in recharts
  2. yalc publish in recharts
  3. yalc add recharts in your test package (ex: in a vite or webpack reach app with recharts installed, imported, and your recent changes used)
  4. npm install
  5. Test a local run, a build, etc.

Module Formats

  • babel-plugin-recharts A simple transform to cherry-pick Recharts modules so you don’t have to. Note: this plugin is out of date and may not work with 2.x

Thanks

Chromatic

Thanks to Chromatic for providing the visual testing platform that helps us review UI changes and catch visual regressions.

License

MIT

Copyright (c) 2015-2023 Recharts Group.

npm-compare.com is an independent website designed to help developers choose the most suitable npm packages. We are not affiliated with npm, Inc or npmjs.com, the official website for the npm registry. Please note that npm is a registered trademark of npm, Inc. For more details, please refer to our Terms & Privacy.