What is JFreeChart and what are its top alternatives?
JFreeChart is a popular Java library for creating various types of charts and graphs. It provides support for a wide range of chart types such as line charts, bar charts, pie charts, etc., and offers customization options to fine-tune the appearance of the charts. However, JFreeChart has some limitations such as limited interactivity features, complex API for beginners, and lack of frequent updates.
Apache ECharts: Apache ECharts is an open-source visualization library that offers a wide range of customizable chart types, interactive features, and easy-to-use APIs. The library provides extensive documentation and a vibrant community for support. Compared to JFreeChart, Apache ECharts offers better interactivity and modern design options, but may have a steeper learning curve.
Chart.js: Chart.js is a lightweight JavaScript library for creating simple yet beautiful charts and graphs. It offers easy integration with web applications, responsiveness, and a variety of chart types. Compared to JFreeChart, Chart.js is more suitable for web-based projects and offers better support for interactive features, but may have limitations in complex data visualization scenarios.
Plotly: Plotly is a versatile data visualization library that supports interactive plotting, dashboards, and rich styling options. It offers APIs for various programming languages including Python, R, and JavaScript. Compared to JFreeChart, Plotly provides better support for interactive features, modern design aesthetics, and seamless integration with web-based applications, but may require additional setup and configuration.
Highcharts: Highcharts is a JavaScript charting library that offers a wide range of customizable chart types, interactive features, and extensive documentation. It provides support for real-time data visualization, rich styling options, and easy integration with web applications. Compared to JFreeChart, Highcharts offers better interactivity and modern design aesthetics, but may have licensing restrictions for commercial use.
D3.js: D3.js is a powerful JavaScript library for creating data-driven documents. It provides low-level control over the creation of custom visualizations and offers a vast range of visualization possibilities. Compared to JFreeChart, D3.js allows for unparalleled customization and flexibility in chart design, but may have a steeper learning curve and require more development effort.
Google Charts: Google Charts is a free visualization library that offers a variety of chart types, interactive features, and easy integration with Google services. It provides support for real-time data visualization, responsive design, and extensive customization options. Compared to JFreeChart, Google Charts offers seamless integration with Google platforms, better interactive features, and modern design aesthetics, but may have limitations in customization for complex chart designs.
FusionCharts: FusionCharts is a JavaScript charting library that offers a wide range of interactive and visually appealing chart types for web and mobile applications. It provides support for real-time data visualization, extensive customization options, and seamless integration with various programming languages. Compared to JFreeChart, FusionCharts offers better interactivity, modern design aesthetics, and advanced features like scrolling, zooming, and exporting, but may have licensing restrictions for commercial use.
amCharts: amCharts is a versatile JavaScript charting library that offers a variety of chart types, interactive features, and rich styling options. It provides support for real-time data visualization, dynamic updates, and easy integration with web applications. Compared to JFreeChart, amCharts offers better support for interactive features, modern design aesthetics, and a user-friendly interface, but may have limitations in customization for complex chart designs.
Chartist.js: Chartist.js is a simple and lightweight JavaScript library for creating responsive charts and graphs. It offers a clean and easy-to-use API, support for various chart types, and smooth animations. Compared to JFreeChart, Chartist.js is more suitable for simple charting needs, provides better responsiveness, and requires less configuration, but may have limitations in advanced customization options.
Taucharts: Taucharts is a data visualization library based on D3.js that offers a wide range of customizable chart types, interactive features, and smooth transitions. It provides support for complex data visualization scenarios, easy integration with web applications, and a vibrant community for support. Compared to JFreeChart, Taucharts offers better support for interactive features, dynamic data updates, and modern design aesthetics, but may have a steeper learning curve for beginners.
Top Alternatives to JFreeChart
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. ...
Google ChartsIt is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart. ...
JavaFXIt is a set of graphics and media packages that enables developers to design, create, test, debug, and deploy rich client applications that operate consistently across diverse platforms. ...
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. ...
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. ...
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. ...
C3.jsc3 is a D3-based reusable chart library that enables deeper integration of charts into web applications. ...
JFreeChart alternatives & related posts
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.
related Google Charts posts
- Light10
- Community support less than qt1
- Complicated1
related JavaFX posts
I create desktop applications that use a database for storing data. My applications are used as management tools in supermarkets, stores, warehouses, and other places. I don't know which one to use; Electron or JavaFX. Can anyone advise me on this matter?
- 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.
- 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.
- 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.
- Easy to use2
- Reusable charts2
- Dependent on D3.js which is not lightweight1