recharts vs d3-hierarchy vs @visx/group
Data Visualization Libraries Comparison
1 Year
rechartsd3-hierarchy@visx/groupSimilar Packages:
What's Data Visualization Libraries?

Data visualization libraries are essential tools in web development that enable developers to create interactive and visually appealing representations of data. These libraries provide various components and utilities to simplify the process of building charts, graphs, and other visual data representations. They help in transforming raw data into meaningful insights, making it easier for users to understand complex information at a glance. Each library has its unique strengths and use cases, catering to different needs in data visualization.

Package Weekly Downloads Trend
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Stat Detail
Package
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recharts7,455,62625,4195.25 MB4633 days agoMIT
d3-hierarchy5,589,7791,198136 kB25-ISC
@visx/group735,50920,1087.89 kB1678 months agoMIT
Feature Comparison: recharts vs d3-hierarchy vs @visx/group

Integration with React

  • recharts:

    Recharts is built on top of React and is designed for easy integration. It provides a set of pre-built chart components that can be easily customized and composed, making it a user-friendly option for React developers.

  • d3-hierarchy:

    d3-hierarchy can be integrated with React but is not built specifically for it. Developers may need to handle the integration manually, which can add complexity to the project. However, it provides powerful tools for hierarchical data manipulation that can be utilized within a React component.

  • @visx/group:

    @visx/group is designed specifically for React, allowing developers to create custom visualizations using React components. It leverages the power of React's virtual DOM for efficient rendering and updates, making it an excellent choice for React-based applications.

Complexity and Learning Curve

  • recharts:

    Recharts has a low learning curve, making it accessible for beginners. Its straightforward API and documentation allow developers to quickly implement and customize charts without extensive knowledge of data visualization principles.

  • d3-hierarchy:

    d3-hierarchy has a steeper learning curve due to its extensive API and the need to understand D3.js concepts. It is best suited for developers who are comfortable with data manipulation and want to create complex visualizations.

  • @visx/group:

    @visx/group has a moderate learning curve, especially for developers familiar with React. It requires understanding of SVG and React's component lifecycle, but it offers flexibility for creating custom visualizations.

Customization and Extensibility

  • recharts:

    Recharts provides a good level of customization through props and configuration options. While it may not be as flexible as @visx/group or d3-hierarchy, it allows for sufficient customization for standard chart types.

  • d3-hierarchy:

    d3-hierarchy is highly extensible, enabling developers to manipulate and customize data structures extensively. It allows for the creation of intricate visualizations but may require more effort to implement custom designs.

  • @visx/group:

    @visx/group offers high customization capabilities, allowing developers to create unique visualizations tailored to specific requirements. It provides a set of low-level components that can be combined to build complex visual representations.

Performance

  • recharts:

    Recharts is designed for performance with responsive charts that adapt to screen size changes. However, performance can degrade with very large datasets, so developers should consider data aggregation techniques for optimal performance.

  • d3-hierarchy:

    d3-hierarchy can handle large datasets efficiently, but performance may vary based on the complexity of the visualization and how well the developer optimizes the rendering process. It provides powerful tools for data manipulation that can enhance performance when used correctly.

  • @visx/group:

    @visx/group is optimized for performance in React applications, utilizing the virtual DOM for efficient updates. This results in smooth rendering of complex visualizations, especially when dealing with large datasets.

Use Cases

  • recharts:

    Recharts is perfect for standard business applications that require quick and easy implementation of common chart types like line, bar, and pie charts. It is well-suited for dashboards and reporting tools.

  • d3-hierarchy:

    d3-hierarchy is best for projects that involve complex hierarchical data visualizations, such as organizational charts, tree maps, and sunburst charts. It excels in scenarios where advanced data manipulation is necessary.

  • @visx/group:

    @visx/group is ideal for custom visualizations where developers need fine-grained control over the rendering process. It's suitable for applications requiring unique designs and interactions that standard chart libraries cannot provide.

How to Choose: recharts vs d3-hierarchy vs @visx/group
  • recharts:

    Choose Recharts if you need a simple and easy-to-use library for building responsive charts in React. It is perfect for developers who want to quickly implement standard chart types without delving into complex configurations.

  • d3-hierarchy:

    Choose d3-hierarchy if your project requires advanced hierarchical data visualization capabilities. It is best suited for complex visualizations like tree diagrams and sunburst charts, providing a robust set of tools for manipulating and displaying hierarchical data structures.

  • @visx/group:

    Choose @visx/group if you are looking for a lightweight and flexible solution that integrates seamlessly with React. It is ideal for developers who want to build custom visualizations while leveraging the power of SVG and React's component model.

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.