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D3 is a popular JS library for data visualization, animations, data analysis, geo, and data utilities, among other things. It has a massive API, and some argue that it isn’t really a data visualization library.
This library can probably accomplish anything you can think of, but it does have some drawbacks. The learning curve is significant, and the documentation is out of date and difficult to explore.
Much of the API exposes direct DOM access, which may conflict with how newer frontend frameworks such as React or Vue work. There are, however, ways to get around this.
<!-- Npm install --> npm i d3.js <!-- D3.js CDN Link --> <script src="https://d3js.org/d3.v6.min.js"></script> <!-- // -->
Another of my personal favorites comes in at number two. This is the package to use if you want a chart visualization library that always looks nice.
The default colors of ChartJS were somehow perfected by the designer, and they look great on any page. It’s another library that doesn’t have a large number of charts but does a fantastic job with the ones it does have.
What are the features of ChartJS?
Without knowing JSON markup, it’s simple to work with.
Create a mixed chart with bars and lines on the same visualization.
The animations are stunning.
It provides the facility to write Tooltips
All major browsers, including IE11+, can support it.
Detailed user documentation and large sample examples are available online.
One of the few free-to-use radar charts that really works and visualizes data correctly is included.
<!-- NPM install --> npm i chart.js <!-- ChartJS CDN LINK --> <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.min.js"></script> <!-- -->
For React users, this is a primary data visualization library. Recharts expose declarative components and uses D3 beneath the hood.
Charts can be customized, and the library includes several useful examples.
It has built-in general chart capabilities such as legend tooltips and labels, and it performs well with static charts.
When dealing with numerous animated charts on the same page and large datasets, it can be sluggish, but it will suffice in most circumstances.
The huge amount of unresolved issues on GitHub is concerning. These aren’t serious issues, but the creators don’t appear to respond to them very often.
So, if you get stuck, expect to spend some time at the library.
What are the best features of Rechart?
Create charts quickly using independent, reusable React components.
With a light-dependent on D3 submodules, it’s built on top of SVG elements.
Adjust component props and add custom components to personalize your chart.
<!-- NPM Install --> npm install recharts <!-- yarn install --> yarn add recharts <!-- CDN Links --> <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/prop-types/prop-types.min.js"></script> <script src="https://unpkg.com/recharts/umd/Recharts.js"></script>
Components for modular charting and data presentation in React.js. Flexible. Data visualization pieces that are self-contained and reusable are in charge of their own styles and behaviors.
A suite of modular charting components built with React and React Native in mind.
Victory does an excellent job of laying out the foundations for creating a chart.
Customizing axes, labels, and passing in several data sets for a single graph is all rather simple, and adjusting styles and behavior is simple and intuitive.
It has a basic API that provides a lot of versatility. It’s light and airy, with simple but smooth motions. You can also create bespoke charts using pre-existing elements.
Although there aren’t many resources on react-vis, the documentation is simple and basic.
What are the best features of React-vis?
It is simple. To get started developing your initial visualizations with react-vis, you don’t need any prior understanding of data visualization packages.
It is flexible. React-vis comes with a collection of fundamental building blocks that can be used to create a variety of charts. Separate the X and Y-axis components, for example. For applications that require it, this enables a high level of chart layout control.
The ease with which it can be used. The library comes with a set of defaults that can be modified by custom user preferences.
Integration with the React framework. react-vis adheres to the React lifecycle and avoids creating extra nodes.
We often need to undertake tedious data scheme translation, adjust complex configuration items, and v-charts precisely to handle this when using echarts to make charts.
V-charts are built on Vue2.x and echarts, and all you have to do is provide a compatible data scheme and select a few easy configuration settings to create typical charts.
It’s a decent all-around tool for making basic charts with straightforward data configuration. It uses Vue2.x and echarts as its foundation.
Is it possible to use ECharts for free? Yes, ECharts is licensed under the Apache 2.0 license.
It works with most modern browsers, including Internet Explorer 8/9/10/11, Chrome, Firefox, Safari, and others.
Alibaba, Amazon, Baidu, GitLab, Intel, and Tencent, among others, employ Apache ECharts, as do solutions like Apache Superset data visualization tools.
With over 44,000 stars on GitHub and 250,000 weekly downloads on npm, the project continues to gain traction.
A Vue.js and React wrapper is included with this useful toolkit for SVG charts. Its charts appear fantastic on a variety of devices, and the library is easy to customize and comes with thorough documentation.
With larger datasets, it can be sluggish, so make sure it’s exactly what you’re searching for.
Juned Chhipa, the library’s inventor, says ApexCharts was built to make data zooming, panning, and scrolling easier, as well as adding meaningful annotations to charts.
The library is still in its early stages, so there’s plenty of opportunity for improvement, but if responsiveness and interaction are essential to you, it’s a nice-looking library worth checking out!
Billboard.js provides you with a solid selection of charts for data visualization in what appears to be a relatively basic framework.
It’s based on D3 version 4 and resembles c3.js charts in appearance. Billboard features a huge range of charts to choose from, as well as a plethora of customizable components like the legend, axis, and tooltips.
It is available under the MIT license. As a result, Billboard.js is free to use in both personal and commercial applications. It’s hard to believe this library is free to use, given how many features it has.
Billboard js Documentation