![]() Filtering by labels Click on a legend to show and hide data on the chart.Each is fully responsive but doesn’t have a great transitional effect as the others. ![]() This library has only 8 base chart types which can be used to improvise over a few more different types. Chartist is really easy to configure, as well as easy to customize with Sass. Within minutes you can make an incredibly impressive chart that interacts easily with any backend data source. It has a solid technology base and is very easy to implement. Its biggest feature is the SVG animations in the charts produced with this library. If pricing is not a stumble, Highcharts is an excellent choice.Ĭhartist is a very modern, SVG based library. It’s probably the most advanced library out there regarding the types of charts available, but of course, it comes at a cost for commercial use. HighCharts is used by several major companies across the world, including Facebook, IBM, MasterCard, and StackOverflow. Highcharts is extensively documented and has most use cases covered. This allows you to have a common theme for your brand to apply across all the charts on your website. Highcharts allows you to configure the theme separately from the data. Data can be loaded directly to charts directly from a CSV file.On-hover tooltips rendering is super-quick.Optimized for both responsive design and touch devices.In all of its simplicity, Highcharts is also very much compatible with old browsers, so you can pick it if you don’t need to represent data using advanced charting styles. The integration with all of the major web frameworks is very simple. HighCharts is a modern JavaScript charting library based on SVG technology. Here is an example of a decision diagram that I have found on the internet. Sometimes it’s better just to write one from scratch using vanilla JavaScript. Note that in some cases you may not need a data visualization library at all. What kind of customization of the look and feel do you need?.What is the browser support for a given library? Check your browser market share to figure this out.On the other hand, Canvas is really fast. SVG or Canvas base? Libraries based on SVG are usually better for smaller to medium datasets, as each element is a unique node and exists in the DOM tree.Is the app going to be used for Web, mobile, or both?.What kind of charts does the company want to build? Pie charts, maps, lines, bars?.There are several factors to consider here: Even more than that – we need a reliable charting library we can build upon. But frankly speaking, most of the time we need something tailored to our use case. Nice interface and copy/paste code are all well and good if we need something generic to our needs. There are quite a few javascript charting libraries around now, but which are the best to use? This can depend on many factors like business needs, types of data, the purpose of the chart itself and many more. Therefore, in this section, we will consider things you should pay attention to while choosing the tools for drawing charts. When you approach the choice of the JS chart library, everything is highly individual and depends on many criteria. How to choose the right JavaScript charting library? Then we will define the criteria for evaluating the tools, and finally, compare the most popular JavaScript charts on the market. First, we will talk about how to choose the right JavaScript charting library. We will try to cover all these questions in this guide. It is very important to choose the right tool to build a workaround.īut how do you choose a tool that will fit your requirements in the javascript technology zoo? How do you choose the right graphics for your data? Should it be paid or free? Build your own solution or take a ready-made tool? Well visualized data creates much more influence than the data being presented as it is, no matter how well it is explained.Ĭompanies build strategies around the charts, numbers, and tables they’re presented with, and often use them to choose whether to pursue business opportunities. The way the human brain itself is programmed is that it understands visual data much better than anything else. It means JavaScript charting libraries are inevitable. JavaScript charts are an essential part of a web application for presenting data. Creating different charts and JavaScript charting in particular is a big issue that we will consider. Presenting huge chunks of data in a standard spreadsheet to analyze or to study is as inconvenient as it can get. ![]() And it becomes a necessity to collect, summarize and present any info in a well-structured, interesting way, especially if you have a complex business application. Nowadays people are struggling more and more with the problem of scattered attention.
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