JavaScript is a powerful language for creating interactive, data-driven web applications. One of the key ways developers can bring data to life is through data visualization, and there are a wide variety of libraries available to help with this task. In this blog post, we’ll take a look at eight of the best JavaScript data visualization libraries of 2023, including their key features and use cases.

1. D3.js

GitHub: https://github.com/d3/d3
Examples: https://github.com/d3/d3/wiki/Gallery
GitHub stars: 104k

D3.js is a JavaScript library for creating interactive data visualizations in the web browser. It allows developers to bind data to the DOM and apply data-driven transformations to the document. D3.js is often used for creating complex, custom charts and data visualizations that are not easily achieved with other libraries. With a strong community and a wealth of resources and documentation, D3.js is a go-to choice for many developers.

2. Recharts

GitHub: https://github.com/recharts/recharts
Examples: http://recharts.org/en-US/examples
GitHub stars: 19,4k

Recharts is a chart library built with React and D3. It provides a set of composable React components that make it easy to create charts with complex behaviors. Recharts is highly customizable and can be used to create a wide range of chart types. With its seamless integration with React, Recharts is a popular choice for developers building data visualization applications with React.

3. React-vis

GitHub: https://github.com/uber/react-vis
Examples: https://uber.github.io/react-vis/
GitHub stars: 8,4k

React-vis is a library for creating data visualizations in React applications. It provides a set of reusable components for building common chart types, such as bar charts, line charts, and scatter plots. React-vis is designed to be easy to use and highly customizable, making it a popular choice for developers building data visualization applications with React. With its strong integration with the React ecosystem, React-vis is a top choice for many developers.

4. V-Charts

GitHub: https://github.com/ElemeFE/v-charts
Examples: https://v-charts.js.org/
GitHub stars: 6,7k

v-charts is based on Vue2.x and echarts. It helps to easily generate nice charts by providing a data scheme and set simple configuration items.

5. Chartkick

GitHub: https://github.com/ankane/chartkick
Examples: https://chartkick.com
GitHub stars: 3,839

Chartkick is a Ruby on Rails library for creating beautiful charts and graphs in web applications. It provides a simple, declarative syntax for creating a wide range of chart types. “No more fighting with charting libraries!”

6. ApexCharts

GitHub: https://github.com/apexcharts/apexcharts.js
Examples: https://apexcharts.com/javascript-chart-demos
GitHub stars: 12,1

ApexCharts is a modern OpenSource JavaScript library for creating interactive charts and visualizations. It provides a wide range of chart types and is highly customizable, making it a popular choice for developers looking to create complex, interactive charts. ApexCharts is built with modern web technologies and is compatible with a wide range of frameworks, including React, Vue.js, and Angular.

7. Chart.js

GitHub: https://github.com/chartjs/Chart.js
Examples: https://www.chartjs.org/samples/
GitHub stars: 60k

Chart.js is a popular open-source library for designers & developers. It provides a simple syntax for creating a wide range of chart types. Chart.js is designed to be easy to use and highly customizable, making it a popular choice for developers looking to add charts to their web applications. With its strong community and a wealth of resources and documentation, Chart.js is a go-to choice for many developers.

8. Echarts

GitHub: https://github.com/apache/incubator-echarts
Examples: https://www.echartsjs.com/examples/
GitHub stars: 54k

Apache ECharts is a free, powerful charting and visualization library offering an easy way of creating intuitive, interactive, and highly customizable charts. Echarts is based on zrender, which is a whole new lightweight canvas library. Another top choice for many developers.

Conclusion

These are just eight of the many great JavaScript data visualization libraries available. Each library has its own strengths and is suitable for different use cases. Whether you’re looking to build simple charts or complex data visualizations, there is a library out there that can help you get the job done.