3/14/2023 0 Comments Universal database front ends![]() ![]() □ OSS / ⭐️ 12.4K / □ / □ 535 KB / □ universalĬhartist.js is the product of a community that was disappointed about the abilities provided by other charting libraries. □ See React Highcharts Example with Cube.js for a practical tutorial on creating a dashboard with numerous Highcharts components. We'll cover those later in this post as well. And then you can purchase Highcharts license just for Hightcharts or Highcharts plugin for Stocks, Maps, or Gantt if you'd like to use it for commercial purposes. You can see the code on GitHub, try and use it for non-commercial purposes. Highcharts is good for large companies whose products rely heavily on data visualization. Highcharts is a JavaScript charting library based on SVG, with fallbacks to VML and canvas for old browsers. □ Paid & non-commercial licenses / ⭐️ 9.8K / □ / □ 43.2 MB / □ universal □ See React Dashboard: an Ultimate Guide to for a comprehensive all-in-one walkthrough exploring how to build a dashboard with Recharts and connect it to a backend. □ OSS / ⭐️ 15.6K / □ / □ 11.2 MB / □ ReactĪ composable charting library built on React componentsĪs per description, "It was built on top of SVG elements with a lightweight dependency on D3 submodules." It's a good choice for React-based projects, because you can use it natively as a component, e.g. □ See Chart.js Example with Dynamic Dataset to learn how to modify the data being displayed with Chart.js on-the-fly. I'd say this is the go-to library for most of the projects, as it fits most of the use cases. The most popular open-source library for building responsive bar, pie, and line charts. Simple yet flexible JavaScript charting for designers & developers And because it's the most used type of charts, there are numerous options to choose from. Those include bar chart, pie chart, line graph, and similar. Most data can be visualized with charts: either temporal (when you include time values to the plot, e.g., on the X axis), or non-temporal (when you have only numeric values or labels). The first category is probably the most popular. Cube.js helps to create an API over any database with ease, and it's often used as a very performant backend for analytical data visualizations. □ And the icing on the cake: I'll provide links to guides and tutorials on data visualization tools built by the Cube.js team. However, I hope that this post will help you build your own understanding of the ecosystem. I decided to sort the frameworks and libraries by the number of stargazers because it roughly approximates their popularity and community size (but that's debatable).Īlso note that you won't find here an extensive list of every data visualization library which can be found on the internet. □ whether it's specific for a particular framework (e.g., React) or it can be used in any JavaScript-based project. ![]() □ the size of the bundle (unpacked size on npm), and.□ when it was last released (as of today).⭐️ number of stargazers on GitHub, if it's open source.□ low-level and complex charting librariesĪlso, to help you choose the right tool for your project, I'm going to include a brief summary of each framework, i.e.There are different kinds of data, and each needs a specific visualization strategy. And I'd like to do a bit more than just list a few frameworks - I'm going to divide the list by the type of data or data visualization because "one size" doesn't fit all. In this post we're going to go through JavaScript frameworks and libraries that you can use to visualize your data. So, here's the question: how to pick the right tool? □ However, to turn data into insights, we need to analyze and visualize. Understanding front-end data visualization tools ecosystem in 2021 February 6, 2021ĭata is the new oil, and it's still true in 2021.
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