recharts vs @nivo/bar vs victory
Data Visualization Libraries Comparison
1 Year
recharts@nivo/barvictorySimilar Packages:
What's Data Visualization Libraries?

Data visualization libraries are essential tools in web development for creating interactive and visually appealing charts and graphs. They enable developers to represent complex data in a more understandable format, facilitating better insights and decision-making. These libraries provide various chart types, customization options, and responsive designs to cater to different data visualization needs. By leveraging these libraries, developers can enhance user experience and effectively communicate data-driven insights through engaging visual representations.

Package Weekly Downloads Trend
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Package
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recharts7,468,88825,3865.25 MB458a day agoMIT
@nivo/bar370,73813,621343 kB45a month agoMIT
victory273,80011,1632.28 MB925 months agoMIT
Feature Comparison: recharts vs @nivo/bar vs victory

Customization

  • recharts:

    Recharts offers a decent level of customization but is more opinionated in its design. While you can customize styles and behaviors, it may not offer the same depth of customization as @nivo/bar, making it better for standard charting needs.

  • @nivo/bar:

    @nivo/bar provides extensive customization options, allowing developers to modify almost every aspect of the chart, including colors, labels, tooltips, and animations. This flexibility makes it suitable for creating unique visualizations that align with specific branding or design requirements.

  • victory:

    Victory excels in customization with its composable architecture, allowing developers to create complex visualizations by combining various components. This makes it a great choice for projects that require tailored data representations.

Ease of Use

  • recharts:

    Recharts is designed for ease of use, with a straightforward API that allows developers to quickly create charts with minimal setup. This makes it an excellent choice for those who need to implement charts rapidly without deep diving into complex configurations.

  • @nivo/bar:

    @nivo/bar has a moderate learning curve, especially for developers who are new to React. However, its comprehensive documentation and examples help ease the onboarding process, making it accessible for most users.

  • victory:

    Victory strikes a balance between ease of use and flexibility. While it may require a bit more understanding of its composable nature, the clear documentation and examples make it manageable for developers to create sophisticated visualizations.

Performance

  • recharts:

    Recharts is also performance-oriented, but it may struggle with very large datasets due to its reliance on SVG rendering. For most standard use cases, it performs well, but developers should be cautious with performance when dealing with extensive data.

  • @nivo/bar:

    @nivo/bar is optimized for performance, leveraging React's rendering capabilities to ensure smooth animations and transitions. It handles large datasets efficiently, making it suitable for applications that require real-time data updates.

  • victory:

    Victory is designed with performance in mind, utilizing React's rendering optimizations. It can handle complex visualizations and large datasets effectively, ensuring that the user experience remains smooth and responsive.

Community and Support

  • recharts:

    Recharts has a strong community and is widely used in the React ecosystem. Its popularity ensures that developers can find ample resources, tutorials, and community support to assist with implementation and troubleshooting.

  • @nivo/bar:

    @nivo/bar has a growing community and is part of the Nivo ecosystem, which includes various other visualization libraries. Its active development and community support provide a solid foundation for troubleshooting and enhancements.

  • victory:

    Victory boasts a robust community and is backed by Formidable, a well-known company in the React space. This support translates into regular updates, comprehensive documentation, and a wealth of community resources.

Responsive Design

  • recharts:

    Recharts provides responsive charts out of the box, making it easy to create visualizations that look great on any device. Its responsive design capabilities are straightforward to implement, enhancing user experience across platforms.

  • @nivo/bar:

    @nivo/bar is built with responsiveness in mind, allowing charts to adapt seamlessly to different screen sizes. This feature is crucial for modern web applications that require mobile-friendly designs.

  • victory:

    Victory also supports responsive design, enabling developers to create charts that adjust to various screen sizes. Its composable nature allows for flexible layouts, making it suitable for responsive applications.

How to Choose: recharts vs @nivo/bar vs victory
  • recharts:

    Choose Recharts if you prefer a simple and easy-to-use library that is built on React components. It is particularly suitable for projects that require quick implementation of standard charts without extensive customization.

  • @nivo/bar:

    Choose @nivo/bar if you need a highly customizable and responsive charting library that integrates well with React. It offers a rich set of features, including animations and transitions, making it ideal for complex data visualizations.

  • victory:

    Choose Victory if you are looking for a modular charting library that emphasizes composability and flexibility. It is well-suited for applications that require a variety of chart types and a focus on accessibility.

README for recharts

Recharts

storybook Build Status codecov 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 with minimal dependencies.
  3. Declarative components.

Documentation at recharts.org and our storybook

Also see the wiki.

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

Examples

<LineChart width={400} height={400} data={data}>
  <XAxis dataKey="name" />
  <Tooltip />
  <CartesianGrid stroke="#f5f5f5" />
  <Line type="monotone" dataKey="uv" stroke="#ff7300" />
  <Line type="monotone" dataKey="pv" stroke="#387908" />
</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 react-is

react-is needs to match the version of your installed react package.

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

Then you can find the library on window.Recharts.

Contributing

Recharts is open source. If you want to contribute to the project, please read the CONTRIBUTING.md to understand how to contribute to the project and DEVELOPING.md to set up your development environment.

Thanks

Chromatic

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

JetBrains logo.

Thanks to JetBrains for providing OSS development license for their IDEs.

License

MIT

Copyright (c) 2015-2024 Recharts Group.