recharts vs @visx/shape vs @nivo/bar vs @ant-design/charts
Data Visualization Libraries for React Comparison
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What's Data Visualization Libraries for React?

Data visualization libraries for React provide developers with tools to create interactive and visually appealing charts and graphs that help in representing data effectively. These libraries often come with built-in components that simplify the process of rendering complex visualizations, allowing developers to focus on data analysis rather than the intricacies of drawing shapes and managing state. They cater to various use cases, from simple bar charts to complex interactive dashboards, and are essential for applications that require data-driven insights.

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recharts3,250,16224,6864.64 MB446a month agoMIT
@visx/shape521,96419,796291 kB1584 months agoMIT
@nivo/bar328,51313,410375 kB1124 months agoMIT
@ant-design/charts56,9712,0019.64 MB3382 months agoMIT
Feature Comparison: recharts vs @visx/shape vs @nivo/bar vs @ant-design/charts

Customization

  • recharts:

    Recharts offers a balance of customization and simplicity. While it allows for some level of customization through props, it is designed to be easy to use, making it suitable for standard charting needs without overwhelming complexity.

  • @visx/shape:

    @visx/shape offers a high degree of customization, allowing developers to create bespoke visualizations. It provides a set of low-level components that can be combined to build unique charts tailored to specific requirements, leveraging the power of D3.js.

  • @nivo/bar:

    @nivo/bar excels in customization, offering a rich API that allows developers to tweak nearly every aspect of the charts, from colors and labels to animations and interactivity. This flexibility makes it suitable for complex data visualization needs.

  • @ant-design/charts:

    @ant-design/charts provides a variety of configuration options that allow developers to customize the appearance and behavior of charts. It supports themes and styles consistent with Ant Design, making it easy to maintain a cohesive look across applications.

Integration

  • recharts:

    Recharts is built specifically for React, making it easy to integrate into any React application. Its component-based architecture allows for straightforward implementation and reusability across different parts of an application.

  • @visx/shape:

    @visx/shape is designed to work well with React and can be easily integrated into existing React applications. It is also compatible with D3.js, allowing developers to leverage D3's powerful capabilities while working within the React ecosystem.

  • @nivo/bar:

    @nivo/bar can be integrated with various state management libraries and is compatible with React Router, making it versatile for different application architectures. It can also work well with other Nivo components for a unified data visualization experience.

  • @ant-design/charts:

    @ant-design/charts integrates seamlessly with Ant Design, making it an excellent choice for applications already using this UI framework. This integration ensures that charts match the overall design and user experience of the application.

Learning Curve

  • recharts:

    Recharts is known for its low learning curve, making it accessible for beginners. Its straightforward API and clear documentation allow developers to quickly implement charts without extensive prior knowledge.

  • @visx/shape:

    @visx/shape may require a deeper understanding of D3.js concepts, making its learning curve steeper for those unfamiliar with D3. However, it offers great flexibility for those willing to invest the time.

  • @nivo/bar:

    @nivo/bar has a steeper learning curve due to its extensive customization options and rich API. However, once mastered, it provides powerful tools for creating complex visualizations.

  • @ant-design/charts:

    @ant-design/charts has a moderate learning curve, especially for developers familiar with Ant Design. The documentation is comprehensive, which helps in understanding how to utilize its features effectively.

Performance

  • recharts:

    Recharts is optimized for performance in typical use cases, but may not handle extremely large datasets as efficiently as some other libraries. It is best used for standard charting needs without excessive data.

  • @visx/shape:

    @visx/shape leverages D3's performance capabilities, allowing for efficient rendering of complex visualizations. It is suitable for applications that require high-performance graphics.

  • @nivo/bar:

    @nivo/bar is designed with performance in mind, utilizing React's reconciliation process to minimize re-renders and improve responsiveness, especially in interactive charts.

  • @ant-design/charts:

    @ant-design/charts is optimized for performance, ensuring that charts render efficiently even with large datasets. It uses canvas rendering for better performance in complex visualizations.

Community and Support

  • recharts:

    Recharts has a large user base and community support, with plenty of tutorials and examples available online. Its popularity ensures that developers can find help and resources easily.

  • @visx/shape:

    @visx/shape, while newer, has a dedicated community and is backed by Airbnb, ensuring ongoing support and development. The documentation is robust, aiding developers in implementation.

  • @nivo/bar:

    @nivo/bar has a growing community and good documentation, with active contributors who provide support and updates. The community is helpful for troubleshooting and sharing examples.

  • @ant-design/charts:

    @ant-design/charts benefits from the strong Ant Design community, providing ample resources, tutorials, and support for developers. This community-driven approach helps in resolving issues and sharing best practices.

How to Choose: recharts vs @visx/shape vs @nivo/bar vs @ant-design/charts
  • recharts:

    Recharts is a good choice for those looking for simplicity and ease of use. It is built on React components and is designed to be straightforward, making it suitable for developers who want to quickly implement charts without a steep learning curve.

  • @visx/shape:

    Opt for @visx/shape if you prefer a low-level library that allows for maximum customization and control over your visualizations. It is best suited for developers who want to build unique visualizations from scratch while leveraging the power of D3.js in a React-friendly way.

  • @nivo/bar:

    Select @nivo/bar for its rich set of features and flexibility. It offers a wide range of customization options and is particularly useful for creating responsive and interactive charts. It's a great choice if you prioritize performance and visual appeal in your data visualizations.

  • @ant-design/charts:

    Choose @ant-design/charts if you need a comprehensive charting library that integrates well with Ant Design components, providing a consistent design language and a wide variety of chart types. It's ideal for enterprise applications where aesthetics and usability are paramount.

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 @visx/shape

@visx/shape is a powerful library for creating complex visualizations in React applications. It provides a collection of low-level shape components that can be used to build custom charts and visual representations of data. With a focus on performance and flexibility, @visx/shape allows developers to create responsive and interactive graphics while leveraging the capabilities of SVG. This library is particularly useful for those who want to create tailored visualizations without being constrained by higher-level charting libraries.

There are several alternatives to @visx/shape that also cater to data visualization needs in React:

  • @vx/shape is essentially the predecessor to @visx/shape, as the latter is part of the larger visx library. It offers similar capabilities for creating shapes and visualizations in React. If you're familiar with @vx/shape, transitioning to @visx/shape will be relatively straightforward, as they share many concepts and components. This library is ideal for developers who want to build custom visualizations while still having access to a robust set of shape components.

  • d3-shape is a part of the D3.js library, which is widely recognized for its powerful data visualization capabilities. d3-shape focuses specifically on shape generation, providing functions for creating curves, areas, and line segments. While it is not React-specific, it can be integrated into React applications for creating complex visualizations. Developers who are already comfortable with D3.js may prefer d3-shape for its extensive features and flexibility in shape manipulation.

  • react-vis is a high-level charting library for React that simplifies the process of creating visualizations. It provides a set of pre-built components for common chart types, making it easy to get started with data visualization. While react-vis may not offer the same level of customization as @visx/shape, it is an excellent choice for developers looking for a straightforward solution to create standard charts without diving deep into the intricacies of SVG or D3.

For a comprehensive comparison of these libraries, check out the following link: Comparing @visx/shape vs @vx/shape vs d3-shape vs react-vis.

Similar Npm Packages to @nivo/bar

@nivo/bar is a powerful and flexible bar chart component for React applications, part of the Nivo library, which provides a rich set of data visualization components. It allows developers to create interactive and highly customizable bar charts with ease, making it an excellent choice for displaying quantitative data. With features such as responsive design, animations, and tooltips, @nivo/bar is suitable for a wide range of applications, from dashboards to data analysis tools.

While @nivo/bar offers a robust solution for bar charts, there are other libraries in the React ecosystem that provide alternative options for creating bar charts and other visualizations. Here are a couple of notable alternatives:

  • recharts is a composable charting library built on React components. It is designed to be simple and easy to use while providing a variety of chart types, including bar charts, line charts, pie charts, and more. Recharts leverages SVG elements to render charts, ensuring high-quality visuals. Its declarative approach allows developers to easily customize and compose charts, making it a popular choice for those looking for a straightforward solution to data visualization in React applications.

  • victory is another powerful charting library for React that provides a wide range of components for building data visualizations. It offers a flexible API and supports various chart types, including bar charts, line charts, scatter plots, and more. Victory is designed with accessibility in mind and provides features such as animations, theming, and responsive design. If you need a comprehensive solution for creating complex visualizations with a focus on customization and accessibility, Victory is an excellent choice.

To see how @nivo/bar compares with Recharts and Victory, check out the comparison: Comparing @nivo/bar vs recharts vs victory.

Similar Npm Packages to @ant-design/charts

@ant-design/charts is a powerful charting library built on top of G2Plot, designed to provide a rich set of data visualization components for React applications. It offers a wide variety of chart types, including bar charts, line charts, pie charts, and more, making it easy for developers to create visually appealing and interactive data visualizations. With its intuitive API and extensive customization options, @ant-design/charts is an excellent choice for developers looking to integrate charts into their applications seamlessly.

However, there are several alternatives in the React ecosystem that also provide robust charting solutions. Here are a few notable ones:

  • @nivo/bar is part of the Nivo library, which offers a collection of rich and responsive data visualization components built on top of D3.js. The bar chart component provides a highly customizable and performant way to display data in a bar chart format. Nivo’s components are designed to be both visually appealing and easy to use, making it a great choice for developers who want to create beautiful data visualizations with minimal effort.

  • @visx/shape is a low-level visualization library that provides a set of reusable React components for building custom charts and visualizations. It is part of the larger Visx library, which combines the power of D3.js with the flexibility of React. While @visx/shape does not provide pre-built charts like some other libraries, it offers the building blocks needed to create highly customized visualizations tailored to specific use cases. This makes it an excellent choice for developers who need fine-grained control over their charts.

  • recharts is another popular charting library for React, built specifically for creating responsive and composable charts. It is designed with simplicity in mind, allowing developers to create charts using a declarative syntax. Recharts supports various chart types and provides a straightforward API, making it easy to integrate into existing React applications. If you are looking for a library that balances ease of use with flexibility, Recharts is a solid option.

To explore how @ant-design/charts compares with its alternatives, check out the comparison: Comparing @ant-design/charts vs @nivo/bar vs @visx/shape vs recharts.

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.

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