What is CanvasJS and what are its top alternatives?
CanvasJS is a powerful JavaScript charting library that allows users to create interactive and visually appealing charts and graphs for their web applications. It offers a wide range of chart types, customizable themes, real-time updates, and support for both desktop and mobile devices. However, one of its limitations is the lack of a free open-source version, as it is a commercial product with licensing fees.
Chart.js: Chart.js is a popular open-source JavaScript charting library that offers a simple yet versatile way to create various types of charts. Key features include responsiveness, plugin support, and a wide range of chart types. Pros: Free and open-source, easy to get started, extensive documentation. Cons: Limited customization options compared to CanvasJS.
Highcharts: Highcharts is a widely used JavaScript charting library that allows users to create interactive and professional-looking charts. It offers a variety of chart types, extensive customization options, and support for real-time updates. Pros: Feature-rich, great documentation, good community support. Cons: Commercial product with licensing fees.
amCharts: amCharts is a versatile JavaScript charting library that provides a wide range of interactive and customizable charts. It offers features such as dynamic data loading, export options, and plugin support. Pros: Rich set of features, easy to use, support for live data. Cons: Paid licenses required for certain features.
Google Charts: Google Charts is a free JavaScript charting library provided by Google that enables users to create a variety of charts and graphs. It offers simple integration with Google services, a wide range of chart types, and customization options. Pros: Free to use, good for simple charts, great integration with Google ecosystem. Cons: Limited customization compared to other libraries.
FusionCharts: FusionCharts is a comprehensive JavaScript charting library that offers a wide range of interactive and animated charts. It provides support for real-time updates, extensive customization options, and various plugins for additional functionality. Pros: Feature-rich, great customer support, vast range of chart types. Cons: Commercial product with pricing based on usage.
Plotly: Plotly is a versatile charting library that provides interactive and visually appealing charts. It offers support for 2D and 3D charts, real-time updates, and robust data visualization capabilities. Pros: Open-source core library, strong community, great for scientific and data-driven applications. Cons: Steeper learning curve compared to simpler libraries.
ECharts: ECharts is an open-source charting library developed by Apache that offers advanced data visualization capabilities. It provides support for large datasets, interactive features, and various chart types. Pros: Open-source, powerful for complex visualizations, good for big data. Cons: Limited documentation and community support compared to other libraries.
D3.js: D3.js is a popular JavaScript library for manipulating documents based on data. While not specifically a charting library, it is widely used to create custom data visualizations and charts. Pros: Highly customizable, great for creating unique visualizations, open-source. Cons: Steep learning curve, more time-consuming compared to charting-specific libraries.
ApexCharts: ApexCharts is a modern JavaScript charting library that offers a simple and intuitive way to create beautiful and interactive charts. It provides a range of customization options, support for dynamic data, and real-time updates. Pros: Free and open-source, easy to use, great for responsive design. Cons: Limited chart types compared to other libraries.
TauCharts: TauCharts is a flexible and customizable charting library that provides support for a variety of chart types and interactive features. It offers custom themes, dynamic data loading, and easy integration with web applications. Pros: Open-source, flexible visualization options, good for exploratory data analysis. Cons: Limited documentation and fewer customization options compared to other libraries.
Top Alternatives to CanvasJS
Plotly.jsIt is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more. ...
HighchartsHighcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. ...
FusionChartsIt is the most comprehensive JavaScript charting library, with over 100+ charts and 2000+ maps. Integrated with all popular JavaScript frameworks and server-side programming languages. Create interactive JavaScript charts for your web and enterprise applications. ...
D3.jsIt is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework. ...
Chart.jsVisualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions. ...
MatplotlibIt is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits. ...
C3.jsc3 is a D3-based reusable chart library that enables deeper integration of charts into web applications. ...
amChartsamCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges. ...
CanvasJS alternatives & related posts
- Bindings to popular languages like Python, Node, R, etc16
- Integrated zoom and filter-out tools in charts and maps10
- Great support for complex and multiple axes9
- Powerful out-of-the-box featureset8
- Beautiful visualizations6
- Active user base4
- Impressive support for webgl 3D charts4
- Charts are easy to share with a cloud account3
- Webgl chart types are extremely performant3
- Interactive charts2
- Easy to use online editor for creating plotly.js charts2
- Publication quality image export2
- Terrible document17
related Plotly.js posts
We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.
If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.
Highcharts
- Low learning curve and powerful34
- Multiple chart types such as pie, bar, line and others17
- Responsive charts13
- Handles everything you throw at it9
- Extremely easy-to-parse documentation8
- Built-in export chart as-is to image file5
- Easy to customize color scheme and palettes5
- Export on server side, can be used in email1
- Expensive9
related Highcharts posts
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.
- Not free1
related FusionCharts posts
- Beautiful visualizations195
- Svg103
- Data-driven92
- Large set of examples81
- Data-driven documents61
- Visualization components24
- Transitions20
- Dynamic properties18
- Plugins16
- Transformation11
- Makes data interactive7
- Open Source4
- Enter and Exit4
- Components4
- Exhaustive3
- Backed by the new york times3
- Easy and beautiful2
- Highly customizable1
- Awesome Community Support1
- Simple elegance1
- Templates, force template1
- Angular 41
- Beginners cant understand at all11
- Complex syntax6
related D3.js posts
We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.
If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.
Hi,
I am looking at integrating a charting library in my React frontend that allows me to create appealing and interactive charts. I have basic familiarity with ApexCharts with React but have also read about D3.js charts and it seems a much more involved integration. Can someone please share their experience across the two libraries on the following dimensions:
- Amount of work needed for integration
- Amount of work or ease for creating new charts in either of the libraries.
Regards
Amit
- Offers all types of charts19
- Interactive Charts14
- It's totally free10
- Slow rendering12
- Bitmap quality export2
- Low quality zoom plugin1
- It's totally free0
related Chart.js posts
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.
- The standard Swiss Army Knife of plotting10
- Lots of code5
related Matplotlib posts
Hi - I am looking to develop an app accessed by a browser that will display interactive networks (including adding or deleting nodes, edges, labels (or changing labels) based on user input. Look to use Django at the backend. Also need to manage graph versions if one person makes a graph change while another person is looking at it. Mainly tree networks for starters anyway. I probably will use the Networkx package. Not sure what the pros and cons are using Bokeh vs Matplotlib. I would be grateful for any comments or suggestions. Thanks.
- Easy to use2
- Reusable charts2
- Dependent on D3.js which is not lightweight1
related C3.js posts
amCharts
- Mock-up tools18
- Each element can be Customized3
- Amcharts upgrade often need to rewrite all code1