What is ApexCharts and what are its top alternatives?
Top Alternatives to ApexCharts
ggplot2
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ...
Highcharts
Highcharts 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. ...
D3.js
It 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. ...
amCharts
amCharts 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. ...
Plotly.js
It 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. ...
Google Charts
It 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. ...
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions. ...
Matplotlib
It 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. ...
ApexCharts alternatives & related posts
related ggplot2 posts
Highcharts
- Low learning curve and powerful32
- Multiple chart types such as pie, bar, line and others14
- Responsive charts11
- Handles everything you throw at it8
- Extremely easy-to-parse documentation7
- Easy to customize color scheme and palettes4
- Built-in export chart as-is to image file4
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.
- Beautiful visualizations179
- Svg91
- Data-driven89
- Large set of examples78
- Data-driven documents59
- Visualization components22
- Transitions20
- Dynamic properties18
- Plugins14
- Transformation11
- Makes data interactive5
- Enter and Exit4
- Backed by the new york times3
- Components3
- Exhaustive2
- Open Source2
- Easy and beautiful2
- Angular 41
- Simple elegance1
- Templates, force template1
- Awesome Community Support1
- Beginners cant understand at all5
- Complex syntax4
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.
I'm a student, and I have a project to build an application (Visual analytics tool) that takes a Microsoft Excel file, cleans the data, and visualizes it. Also, the app should allow the user to filter and interact with it.
1- should I make it desktop application or web application? : I'm leaning toward (desktop)
2- D3.js OR Python?
3- better excel or CSV?
I'm a beginner Inspiration for interaction and look of the app: eventflow application.
amCharts
- Mock-up tools14
- Each element can be Customized1
related amCharts posts
- Bindings to popular languages like Python, Node, R, etc14
- 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
- Webgl chart types are extremely performant3
- Impressive support for webgl 3D charts3
- Charts are easy to share with a cloud account3
- Interactive charts2
- Publication quality image export2
- Easy to use online editor for creating plotly.js charts2
- Terrible document15
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.
related Google Charts posts
- Offers all types of charts6
- Interactive Charts4
- It's totally free1
- Slow rendering8
- Bitmap quality export1
- 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 plotting4
- Lots of code4