In today’s digital age, the visual representation of data has become an essential tool for businesses, organizations, and individuals to make informed decisions. Open-source chart libraries have grown in popularity as a means of creating and displaying visualizations in web applications.
How To Choose The Best JavaScript Charting Library?
Any data visualization project requires JavaScript charting libraries. With so many options on the market, it can be difficult to select the one that best meets your specific requirements. This blog will go over how to pick the best JavaScript charting library.
Establish Your Requirements:
The first step in selecting the best JavaScript charting library is determining your needs. Consider the type of data you want to visualize, the type of chart you require, and the level of customization you require. This will assist you in narrowing down your options and selecting the library that best meets your needs.
Examine the Features:
The next step is to examine the library’s features. Look for libraries that provide a variety of chart types, customization options, and responsive designs. You should also think about how easy it is to use and how well it integrates with other frameworks and tools.
Performance Evaluation:
The performance of the library is also an important consideration. Choose a lightweight and fast library that will not slow down your application. Benchmarks and user reviews can be used to evaluate performance.
Seek documentation:
Documentation is essential for any library, including JavaScript charting libraries. Look for libraries that have extensive documentation, including code samples and tutorials. This will help you get up and running quickly and will make troubleshooting any issues easier.
Consider Community and Support:
Finally, consider the library’s community and support. Look for libraries that have an active community that provides assistance and answers questions. Check to see if the library has a dedicated support team that can assist you with any problems you may encounter.
Top 12 Open Source Chart Library in 2023
1. js
D3.js is a JavaScript library for data-driven document manipulation. D3 allows you to visualize data by using HTML, SVG, and CSS. D3’s emphasis on web standards allows you to use modern browsers’ full capabilities without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
2. graph.js
Chart.js is a Javascript library that allows designers and developers to create various types of charts by utilizing the HTML5 canvas element.
Chart.js provides a wide range of simple, clean charts, including animated and interactive options. It’s a simple way to include visually appealing and engaging charts on your website for free.
3. Highcharts
Highcharts is a pure JavaScript-based charting library that adds interactive charting capability to web applications. Highcharts offers a wide range of charts. Line charts, spline charts, area charts, bar charts, pie charts, and so on are examples.
Highcharts is a charting software library written in pure JavaScript that was first released in 2009. It was developed by Highsoft in Vik, Norway, and has been featured in national publications such as Finansavisen and Dagsrevyen.
4. Google Charts
Google Charts is an excellent tool for visualizing data on your website. The chart gallery contains a large number of ready-to-use chart types, ranging from simple line charts to complex hierarchical tree maps. The most common way to use Google Charts is to embed simple JavaScript in your web page.
5. Plotly.js
Plotly, which is built on top of the Plotly JavaScript library (plotly.js), allows Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web apps using Dash.
6. NVD3
NVD3. js is a free and open source JavaScript visualization library. It is based on the popular d3. js visualization library. When used correctly, this library can be extremely useful for everyday tasks as well as business operations.
7. C3.js
C3 is a JavaScript library that extends D3. D3 is a JavaScript library that can be used to create complex visualizations. D3 is overly complex; most of the time, we just want to add a simple graph to a webpage to display statistics. C3 enables us to do so without having to understand all of D3’s complexities by encapsulating it in a simple API.
8. Chartist.js
Chartist. Js is a library for creating graphs. Provides a straightforward configuration override mechanism based on media queries, as well as basic responsive charts.
9. FusionCharts
FusionCharts is usually aimed at developers who want to incorporate interactive charts into their reports, dashboards, analytics, monitors, and surveys.
10. Taucharts
Taucharts is a charting library written in JavaScript. It is built on the D3 framework and Graphics Grammar concepts. Taucharts has an excellent visual design, is versatile and powerful, and can be supplemented with plugins.
11. ZingChart
ZingChart provides the flexibility and resources needed to create visually stunning visualizations. We have over 100 chart types to choose from to fit your data. Our unique features, such as zooming and interactive legends, encourage your users to interact. And, thanks to our CSS-like styling, you can creatively customize your charts.
12. AMCharts
AmCharts JavaScript product line includes traditional charts such as Line, Area, Column, Bar, Pie, XY, Scatter, Candlestick, and OHLC, as well as more “exotic” ones such as Gauges, Funnels, GANTT, Stock Chart to display large amounts of financial and other date-based data, and fully interactive adaptive world or local country maps.
Fully functional products are freely available (with a small backlink) for any type of use, as well as in paid commercial form for all types of usage scenarios.
Conclusion
Finally, there are many open-source chart libraries available in 2023, but we have covered the top 12 in this blog post. Each of these libraries has its own set of features, benefits, and limitations, making it suitable for a variety of data visualization needs.
D3.js and Plotly.js are excellent choices for a react native chart library that provides advanced charting features.
Chart.js and Highcharts are excellent choices for interactive and dynamic charting. If you want to build complex dashboards with a variety of visualizations, you should look into Apache Superset or Grafana.
Other libraries, such as Google Charts, Chartist.js, and Frappe Charts, are ideal for small-scale projects or beginners because of their simplicity, ease of use, and flexibility. Furthermore, if you’re looking for a library that specializes in creating charts for scientific and statistical data, OpenChart and MetricsGraphics.js are excellent choices.
