chart.js vs d3 vs highcharts vs apexcharts
JavaScript Charting Libraries Comparison
1 Year
chart.jsd3highchartsapexchartsSimilar Packages:
What's JavaScript Charting Libraries?

JavaScript charting libraries provide developers with tools to create visually appealing and interactive charts and graphs for web applications. These libraries simplify the process of data visualization, allowing users to represent complex datasets in an understandable format. Each library has its unique strengths and weaknesses, catering to different use cases, performance needs, and user preferences. Choosing the right charting library can significantly impact the user experience and the efficiency of data representation in web applications.

Package Weekly Downloads Trend
Github Stars Ranking
Stat Detail
Package
Downloads
Stars
Size
Issues
Publish
License
chart.js4,299,39665,4204.95 MB46513 days agoMIT
d33,734,642109,964871 kB21a year agoISC
highcharts1,241,17123046 MB42 months agohttps://www.highcharts.com/license
apexcharts987,62114,6504.94 MB30013 days agoMIT
Feature Comparison: chart.js vs d3 vs highcharts vs apexcharts

Ease of Use

  • chart.js:

    Chart.js offers a user-friendly API that is easy to learn, making it suitable for developers who want to create charts without a steep learning curve. The library provides clear documentation and examples, facilitating quick integration into projects.

  • d3:

    D3.js has a steeper learning curve due to its powerful capabilities and flexibility. It requires a good understanding of SVG, HTML, and JavaScript, making it more suitable for experienced developers who need to create complex visualizations from scratch.

  • highcharts:

    Highcharts strikes a balance between ease of use and functionality, offering a straightforward API while also providing advanced features. It is relatively easy to get started with, but mastering its full capabilities may take some time.

  • apexcharts:

    ApexCharts is designed for ease of use, providing a simple API that allows developers to create charts with minimal configuration. Its straightforward syntax makes it accessible for beginners and efficient for experienced developers looking to implement charts quickly.

Customization

  • chart.js:

    Chart.js provides a good level of customization with options to modify chart elements, styles, and animations. It allows for easy adjustments to fit the design needs of most projects without overwhelming complexity.

  • d3:

    D3.js excels in customization, allowing developers to manipulate every aspect of the chart and create unique visualizations. It provides complete control over the rendering process, making it ideal for bespoke designs and complex data representations.

  • highcharts:

    Highcharts offers extensive customization options, allowing developers to modify chart types, styles, and behaviors. It also provides built-in themes and options for exporting charts, making it versatile for various applications.

  • apexcharts:

    ApexCharts allows for a decent level of customization, enabling developers to tweak various aspects of the charts, such as colors, labels, and tooltips. However, it may not offer the same level of deep customization as D3.js.

Performance

  • chart.js:

    Chart.js is lightweight and performs well for standard use cases. However, performance may degrade with a very high number of data points or complex animations, so it is best suited for moderate datasets.

  • d3:

    D3.js is highly performant and can handle large datasets effectively. Its ability to manipulate the DOM directly allows for optimized rendering, but developers must manage performance considerations themselves, especially with complex visualizations.

  • highcharts:

    Highcharts is designed for high performance and can handle large datasets efficiently. It uses SVG and Canvas rendering, providing smooth interactions and animations, making it suitable for commercial applications with demanding performance requirements.

  • apexcharts:

    ApexCharts is optimized for performance, ensuring that charts render quickly and efficiently even with large datasets. It uses SVG rendering, which is generally performant for most use cases, but may show limitations with extremely large datasets.

Licensing

  • chart.js:

    Chart.js is also open-source and free to use under the MIT license, making it a popular choice for developers looking for a cost-effective solution for both personal and commercial projects.

  • d3:

    D3.js is released under the BSD license, which allows for free use in both personal and commercial projects. This makes it a flexible choice for developers who need a powerful visualization tool without licensing concerns.

  • highcharts:

    Highcharts requires a commercial license for use in commercial applications, although it is free for personal and educational use. This licensing model may be a consideration for businesses looking to implement it in their products.

  • apexcharts:

    ApexCharts is open-source and free for personal and non-commercial use, but requires a commercial license for business applications. This makes it accessible for individual developers and small projects while providing options for larger enterprises.

Community and Support

  • chart.js:

    Chart.js has a large and active community, with extensive documentation, tutorials, and examples available. This makes it easier for developers to find support and resources when needed.

  • d3:

    D3.js has a robust community and a wealth of resources, including tutorials, forums, and examples. Its extensive documentation and active user base make it easier for developers to troubleshoot and learn best practices.

  • highcharts:

    Highcharts offers professional support and extensive documentation, making it a reliable choice for enterprises. Its community is also active, providing additional resources and examples to help developers.

  • apexcharts:

    ApexCharts has a growing community and provides good documentation, making it easier for developers to find help and resources. However, its community is smaller compared to more established libraries.

How to Choose: chart.js vs d3 vs highcharts vs apexcharts
  • chart.js:

    Opt for Chart.js if you want a lightweight library that is straightforward to integrate and offers a good balance between simplicity and customization. It is suitable for basic to moderately complex visualizations and is great for developers who want to get started quickly with a clean API.

  • d3:

    Select D3.js if you require maximum flexibility and control over your visualizations. D3 is powerful for creating complex, data-driven documents and allows for custom animations and transitions. It is best suited for projects that need bespoke visualizations and where performance is critical.

  • highcharts:

    Use Highcharts if you need a feature-rich library with extensive chart types and built-in interactivity. It is particularly useful for commercial applications due to its licensing model and offers great support for accessibility and exporting options.

  • apexcharts:

    Choose ApexCharts if you need a simple and easy-to-use library that provides a wide variety of chart types with minimal configuration. It's ideal for projects that require quick implementation and responsive charts without extensive customization.

README for chart.js

https://www.chartjs.org/
Simple yet flexible JavaScript charting for designers & developers

Downloads GitHub Workflow Status Coverage Awesome Discord

Documentation

All the links point to the new version 4 of the lib.

In case you are looking for an older version of the docs, you will have to specify the specific version in the url like this: https://www.chartjs.org/docs/2.9.4/

Contributing

Instructions on building and testing Chart.js can be found in the documentation. Before submitting an issue or a pull request, please take a moment to look over the contributing guidelines first. For support, please post questions on Stack Overflow with the chart.js tag.

License

Chart.js is available under the MIT license.