recharts vs chart.js vs d3 vs react-vis vs @visx/visx
Data Visualization Libraries Comparison
1 Year
rechartschart.jsd3react-vis@visx/visxSimilar Packages:
What's Data Visualization Libraries?

Data visualization libraries are essential tools in web development that allow developers to create interactive and visually appealing representations of data. These libraries provide various features for rendering charts, graphs, and other visual data formats, enabling users to interpret complex datasets easily. They vary in terms of flexibility, ease of use, and customization options, catering to different project requirements and developer preferences.

Package Weekly Downloads Trend
Github Stars Ranking
Stat Detail
Package
Downloads
Stars
Size
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Publish
License
recharts8,493,00825,5895.32 MB46711 days agoMIT
chart.js4,776,86466,2356.17 MB480a month agoMIT
d34,592,988111,075871 kB21a year agoISC
react-vis80,1248,7672.18 MB3432 years agoMIT
@visx/visx40,49920,15012.3 kB1708 months agoMIT
Feature Comparison: recharts vs chart.js vs d3 vs react-vis vs @visx/visx

Customization

  • recharts:

    Recharts provides a straightforward API for customization, allowing developers to adjust styles and properties easily. However, it may not offer the same depth of customization as D3 or @visx/visx.

  • chart.js:

    Chart.js provides basic customization options through configuration objects, allowing developers to modify colors, labels, and other visual aspects. However, it is less flexible than other libraries for creating highly customized visualizations.

  • d3:

    D3.js excels in customization, enabling developers to manipulate every aspect of the visualization. It allows for custom shapes, transitions, and interactions, making it the go-to choice for intricate and tailored visual representations.

  • react-vis:

    React-Vis offers moderate customization options, allowing developers to adjust styles and properties of pre-built components. While it is easier to use than D3, it may not provide the same level of flexibility for unique designs.

  • @visx/visx:

    @visx/visx offers a high degree of customization, allowing developers to create unique visualizations tailored to specific needs. It provides a collection of low-level components that can be combined to build complex charts, giving full control over styles and behaviors.

Learning Curve

  • recharts:

    Recharts is also beginner-friendly, with a simple API that integrates well with React. It allows developers to create responsive charts quickly, making it accessible for those new to data visualization.

  • chart.js:

    Chart.js is beginner-friendly, with a gentle learning curve. Its simple API and clear documentation make it easy for new developers to start creating charts quickly.

  • d3:

    D3.js has a steep learning curve due to its complexity and the need for a solid understanding of JavaScript and SVG. It requires more effort to master, but the payoff is significant for advanced visualizations.

  • react-vis:

    React-Vis is designed to be easy to learn for React developers, with a straightforward API and clear examples. It is suitable for those looking to implement visualizations without a steep learning curve.

  • @visx/visx:

    @visx/visx has a moderate learning curve, particularly for developers familiar with React. Understanding its modular approach may take some time, but it is generally accessible for those with React experience.

Performance

  • recharts:

    Recharts performs well for responsive charts and moderate datasets, but like React-Vis, it may face challenges with very large datasets due to React's rendering model.

  • chart.js:

    Chart.js performs well for standard chart types, but performance may degrade with very large datasets or complex visualizations due to its canvas-based rendering approach.

  • d3:

    D3.js can be highly performant when optimized correctly, but it may require careful management of DOM elements and data binding to avoid performance bottlenecks, especially with large datasets.

  • react-vis:

    React-Vis is designed for good performance with moderate datasets, but it may not handle extremely large datasets as efficiently as D3 or @visx/visx due to its abstraction layer.

  • @visx/visx:

    @visx/visx is optimized for performance, leveraging React's rendering capabilities. It allows for efficient updates and rendering of complex visualizations, making it suitable for applications with large datasets.

Integration

  • recharts:

    Recharts is also designed for React, offering a straightforward integration process. It allows developers to create responsive charts using React components without additional complexity.

  • chart.js:

    Chart.js can be integrated into various frameworks, including React, but may require additional wrappers or libraries for seamless use within a React application.

  • d3:

    D3.js can be integrated into any web application, but it requires more effort to work with React due to its imperative nature. Developers must manage the DOM manually, which can complicate integration.

  • react-vis:

    React-Vis is built for React, providing a seamless integration experience. It allows developers to use React's component model to create visualizations easily.

  • @visx/visx:

    @visx/visx is specifically built for React, making it an excellent choice for projects that already use React. Its modular design allows for easy integration with existing React components.

Community and Support

  • recharts:

    Recharts has a growing community and is well-documented, making it easy for developers to find support and examples. Its integration with React also helps in leveraging the broader React community.

  • chart.js:

    Chart.js has a large and active community, with extensive documentation, examples, and plugins available. It is widely used and well-supported, making it a reliable choice for developers.

  • d3:

    D3.js has a vast community and a wealth of resources, tutorials, and examples available online. Its long-standing presence in the data visualization space ensures strong support and continuous development.

  • react-vis:

    React-Vis has a smaller community compared to others, but it is still well-documented and supported. It is a good choice for developers looking for a straightforward library with decent community backing.

  • @visx/visx:

    @visx/visx has a growing community and is backed by the popular company Airbnb, providing good documentation and support resources, although it may not be as extensive as more established libraries.

How to Choose: recharts vs chart.js vs d3 vs react-vis vs @visx/visx
  • recharts:

    Select Recharts for its simplicity and declarative nature, which makes it easy to integrate with React applications. It is particularly useful for projects that require responsive charts and a straightforward API, allowing developers to create visually appealing charts with minimal effort.

  • chart.js:

    Select Chart.js for its simplicity and ease of use, especially for quick implementations of common chart types. It is perfect for projects that require straightforward charting solutions without extensive customization, making it a great choice for beginners or rapid prototyping.

  • d3:

    Opt for D3.js if you require maximum flexibility and control over your data visualizations. D3 is a powerful library that allows for complex and intricate visual representations, making it suitable for advanced projects where custom designs and interactions are necessary.

  • react-vis:

    Choose React-Vis if you want a library that integrates seamlessly with React and provides a set of pre-built components for common chart types. It is user-friendly and suitable for projects that need quick visualizations without extensive customization, making it ideal for developers who prefer a more opinionated approach.

  • @visx/visx:

    Choose @visx/visx if you need a highly customizable and modular approach to building visualizations in React applications. It is ideal for developers who want to leverage React's component model while having the freedom to create unique visualizations without being constrained by predefined chart types.

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.