recharts vs @nivo/bar vs victory
Data Visualization Libraries Comparison
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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.

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recharts7,515,61224,9994.64 MB44712 days agoMIT
@nivo/bar361,69213,502375 kB1115 months agoMIT
victory285,46711,1282.28 MB943 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.

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 @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 victory

victory is a popular data visualization library for React applications. It provides a set of modular components that allow developers to create a wide range of interactive and customizable charts and visualizations. With its focus on simplicity and flexibility, Victory makes it easy to integrate beautiful visual representations of data into your React projects. While Victory is a robust choice for data visualization, there are several alternatives worth considering:

  • chart.js is a well-known JavaScript library for creating charts and graphs. It is highly versatile and can be used with various frameworks, including React. Chart.js offers a simple API and supports a wide range of chart types, including line, bar, radar, and pie charts. If you are looking for a lightweight solution with a straightforward setup and a variety of chart options, Chart.js is an excellent choice.
  • react-vis is a React-specific library developed by Uber for building data visualizations. It provides a collection of React components for creating a variety of charts and graphs, with a focus on ease of use and integration with React applications. React-vis is particularly useful for developers who want to quickly create visualizations without getting bogged down by configuration details. Its simple API and built-in responsiveness make it a great option for many projects.
  • recharts is another React-based charting library that is built on top of D3.js. It emphasizes simplicity and composability, allowing developers to create complex visualizations using a declarative syntax. Recharts is designed to be easy to use and integrates seamlessly with React, making it a popular choice for developers looking to create responsive and interactive charts. If you prefer a library that leverages the power of D3 while maintaining a React-friendly approach, Recharts is worth considering.

To see how Victory compares with Chart.js, React-vis, and Recharts, check out the comparison: Comparing chart.js vs react-vis vs recharts vs victory.

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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