Table of Contents
FusionCharts is a framework created by developers for developers, with respect to the importance of DV, making it arguably one of the best frameworks for creating charts. This platform provides not only different graph examples, but also all the source codes are updated frequently and are completely error-free. Additionally, it provides one-on-one support to quickly fix technical issues, as well as in-depth guides on different dashboards and charts to help you understand all the options.
Many people like it because of its high customizability and ease of use. Moreover, FusionCharts Suite allows you to customize your chart in any way you want, functional or visual. For example, you can customize the charts with attributes, add layers with annotations, or create complex visualizations with our events and API.
Overall, FusionMaps XT has over 2000+ geographical maps, including all countries, US states, and regions in Europe, for plotting business data like revenue by region, employment levels by state, and office locations.
Today, FusionCharts is being used extensively for building dashboards with different types of graphs and charts for web-based applications.
D3 uses jQuery-like selectors to choose DOM components, most of which are SVG but can also be canvas. It uses SVG, HTML, and CSS, three current web standards, to create data visualization. Standard visualization formats are not necessary when using D3. However, it enables users to create bar and pie charts, geospatial maps, graphs, and HTML tables.
Overall, D3.js is unique because it allows you to create custom visualizations using SVG, HTML, and CSS.
Because Char.js uses HTML5 canvas, you must use a polyfill to support older browsers. By default, it provides six major chart types, improves usability, and is simple enough for beginners to understand. In addition to pie charts, it has a bar, bubble, doughnut, line, polar area, radar, scatter, and many other responsive charts.
To incorporate different datasets, you can easily try combining different line and bar charts, which prove to be of exceptional quality. So, Chart.js is a simpler data visualization library that simplifies the creation of standard visualizations like line charts and bar graphs.
The library was designed to make data zooming, panning, scrolling, and placing informative annotations on charts easier. However, the library itself is new, and there is still plenty of room for expansion.
Overall, ApexCharts is a data visualization library that aims to be user-friendly while also offering advanced customization options for more experienced developers.
HighCharts JS supports a wide range of chart types, including all popular charts, such as error bars, waterfall, bar, pie, and many more. Non-commercial users, such as personal projects, university websites, and charitable and non-profit organizations, are not charged anything.
HighCharts allows you to create much more than just simple graphs. For example, creating Gantt charts, map-based charts, and stock charts is simple.
Charts can be customized, and you can see some examples provided by the library. In addition, it produces excellent static charts and includes built-in general chart resources, such as legend tooltips and labels.
It can become glitchy when dealing with multiple animated charts on the same page and large datasets, but it should still work for most use cases. It’s a little concerning that there are so many unanswered challenges on GitHub.
These issues may not be significant, but creators do not visit frequently enough to address them. Therefore, if you get stuck, make sure you know how to get out.
Recharts is a solid JavaScript data visualization library built with React and D3, making its functionality comparable to that of other data visualization frameworks.
It supports Google Datastore, Amazon Redshift, PostgreSQL, and MySQL databases, and others. In addition, it includes more than 50 data visualization components, such as charts, tables, maps, and dashboards, that users can integrate into their web applications to work with data.
Depending on the chart type, there are numerous customization options, but they may not be suitable for beginners. In addition, rather than using an NPM package, you must load it directly from a Google URL.
Google Charts offers customizable options and also has HTML/SVG properties. In addition, users enjoy that it allows modifying charts even after chart generation.
Many charts, such as gauge and network charts, may be missing from this list.
CanvasJS boasts impressive scalability, effortlessly handling large datasets of up to 100k+ data points without any performance issues. While the library offers a wide range of chart types, some specific chart styles, such as gauge and network charts, may not be included in its standard offerings.
While the CanvasJS data visualization library may require some time to master, its efficiency and compatibility are notable advantages. The tool provides four pre-designed templates to cater to various environments, allowing users to select the most appropriate design for their applications.
For a set fee, you get all the charts you need, including geographical maps and excellent customer service. With response times averaging less than 3 hours, it appears to be a good solution for large corporations.
Dc.js is a robust and intuitive JavaScript data visualization library that facilitates seamless data visualization and analysis across both desktop and mobile environments. With its streamlined yet sophisticated features, dc.js offers a comprehensive solution for individuals seeking to visualize and explore data within the browser or on mobile devices.
This library is extremely simple to install and use, and comes with excellent documentation that Uber supports. Popular charts such as line, area, bar charts, pie charts, treemaps, and many others can be quickly created.
The library requires no prior knowledge of D3 or any other data visualization library. It provides modular low-level building block elements like the X/Y axis. So, again, it is a good match and a very useful library to consider when working with Bit.
FusionCharts is perhaps one of the best open-source frameworks for making charts for web applications. It is an enterprise-level charting and graphics library that makes your graphs highly customizable. It also offers helpful tips about data visualization and is easy to learn and use.
Ever had a data set that seemed more complicated than a Rubik's cube? You’re not…
We’ve all seen them in textbooks or presentations—those overlapping circles that simplify complex information into…
We’re excited to announce the upcoming release of FusionCharts v4.1—a groundbreaking step forward in the…
Have you ever been overwhelmed by a massive data set and wondered, "How do I…
If you’ve ever tried to make sense of the stock market, you’ve probably come across…
Imagine you’re comparing the sales performance of your top product lines across different regions, or…