recharts vs react-chartjs-2 vs echarts-for-react
React Charting Libraries Comparison
1 Year
rechartsreact-chartjs-2echarts-for-reactSimilar Packages:
What's React Charting Libraries?

React charting libraries provide developers with tools to visualize data in a graphical format, enhancing user experience and data interpretation. Each library offers unique features, customization options, and performance characteristics, making them suitable for different use cases in data visualization. Choosing the right library can significantly impact the development process and the final output, depending on the complexity of the data and the desired interactivity.

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recharts3,288,03524,7064.64 MB449a month agoMIT
react-chartjs-21,572,3636,74255.9 kB1022 months agoMIT
echarts-for-react322,7994,64590.1 kB5711 hours agoMIT
Feature Comparison: recharts vs react-chartjs-2 vs echarts-for-react

Customization

  • recharts:

    Recharts is built with a focus on simplicity and composability, allowing developers to create custom charts using React components. It provides a straightforward API for customization, making it easy to adjust styles and behaviors without extensive configuration.

  • react-chartjs-2:

    React Chart.js 2 offers a moderate level of customization, allowing users to modify chart properties such as colors, labels, and tooltips. While it supports various chart types, it may not be as flexible as ECharts for more complex visualizations.

  • echarts-for-react:

    ECharts for React provides extensive customization options, allowing developers to define almost every aspect of the charts, including colors, tooltips, animations, and interactions. It supports a wide range of chart types and complex visualizations, making it suitable for advanced data representation.

Performance

  • recharts:

    Recharts is built on top of D3.js and leverages SVG for rendering. While it performs well for moderate datasets, performance may degrade with very large datasets due to the overhead of SVG elements.

  • react-chartjs-2:

    Chart.js is generally performant for standard charting needs, but may struggle with very large datasets or highly interactive charts. It uses the HTML5 canvas for rendering, which can be less performant than SVG for certain use cases.

  • echarts-for-react:

    ECharts is optimized for handling large datasets and complex visualizations efficiently. It employs techniques like lazy loading and canvas rendering, ensuring smooth performance even with intricate charts and numerous data points.

Learning Curve

  • recharts:

    Recharts is designed to be intuitive for React developers, with a declarative API that aligns well with React's component-based architecture. This makes it easy to pick up and integrate into existing React applications.

  • react-chartjs-2:

    React Chart.js 2 is relatively easy to learn, especially for those familiar with Chart.js. Its API is straightforward, making it accessible for quick implementations and basic charting needs.

  • echarts-for-react:

    ECharts has a steeper learning curve due to its extensive features and options. Developers may need to invest time in understanding its API and configuration to fully leverage its capabilities.

Community and Support

  • recharts:

    Recharts has a growing community with good documentation and examples. While it may not be as widely used as Chart.js, it benefits from being tailored specifically for React, which helps in finding relevant support.

  • react-chartjs-2:

    Chart.js has a strong community and a wealth of resources available, including tutorials and examples. However, React Chart.js 2 may have less specific support compared to the core Chart.js library.

  • echarts-for-react:

    ECharts has a large community and extensive documentation, providing ample resources for troubleshooting and learning. The library is actively maintained, ensuring ongoing support and updates.

Integration

  • recharts:

    Recharts is built specifically for React, ensuring a smooth integration experience. Its component-based approach allows for easy composition and reuse of chart elements within React applications.

  • react-chartjs-2:

    React Chart.js 2 is designed to work well within React applications, providing a simple way to incorporate charts and manage state. Its integration is straightforward, making it a popular choice for many developers.

  • echarts-for-react:

    ECharts for React integrates seamlessly with React applications, allowing for easy state management and reactivity. It can be used in conjunction with other libraries for enhanced functionality.

How to Choose: recharts vs react-chartjs-2 vs echarts-for-react
  • recharts:

    Select Recharts if you want a library that is specifically designed for React and focuses on composability and simplicity. It's great for building responsive charts with a declarative approach.

  • react-chartjs-2:

    Opt for React Chart.js 2 if you prefer a simple and straightforward library that integrates easily with React. It's suitable for basic charting needs and offers a good balance between simplicity and functionality.

  • echarts-for-react:

    Choose ECharts for React if you need a highly customizable and feature-rich charting library that supports complex visualizations and large datasets. It's ideal for applications requiring advanced chart types and interactivity.

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.