What is vx and what are its top alternatives?
VX is a data visualization library for React that aims to provide a collection of reusable low-level visualization components. Its key features include a focus on high-performance rendering with minimal overhead, a wide variety of chart types and customization options, and seamless integration with React applications. However, one of its limitations is the steep learning curve for beginners due to the low-level nature of its components.
- D3.js: D3.js is a powerful JavaScript library for creating interactive data visualizations in the web browser. It offers a wide range of data visualization tools and capabilities, but it has a steeper learning curve compared to vx.
- Chart.js: Chart.js is a simple and flexible JavaScript charting library that offers a variety of chart types and customization options. It is easy to get started with and has a more user-friendly API compared to vx.
- Plotly: Plotly is a popular JavaScript graphing library that provides interactive and declarative data visualization tools. It offers a wide range of chart types and styling options, but it may have a higher performance overhead compared to vx.
- Nivo: Nivo is a React-based data visualization library that offers a rich set of customizable and responsive charts. It provides an easy-to-use API and a wide variety of chart types, making it a good alternative to vx.
- Highcharts: Highcharts is a JavaScript charting library that offers a wide range of interactive and responsive charts for web applications. It has good documentation and support but may be more expensive for commercial use compared to vx.
- Echarts: Echarts is a powerful charting and data visualization library for web applications. It provides a diverse set of visualization tools and customization options, but it may have a larger bundle size compared to vx.
- Recharts: Recharts is a React charting library that provides a simple and declarative API for creating responsive and interactive charts. It is easy to integrate with React applications and offers a good range of chart types.
- ApexCharts: ApexCharts is a modern JavaScript charting library that offers a wide variety of dynamic and interactive charts. It is easy to use and has good performance, making it a suitable alternative to vx.
- Google Charts: Google Charts is a charting library provided by Google that offers a variety of chart types and visualization tools. It has good integration with other Google services but may have limitations in customization compared to vx.
- Frappe Charts: Frappe Charts is a simple and responsive charting library that offers a clean and elegant way to visualize data. It provides a lightweight alternative to vx with easy-to-use features and customization options.
Top Alternatives to vx
FlightFlight is distinct from existing frameworks in that it doesn't prescribe or provide any particular approach to rendering or providing data to a web application. It's agnostic to how requests are routed, which templating language you use or even if you render your HTML on the client or the server. While some web frameworks encourage developers to arrange their code around a prescribed model layer, Flight is organized around the existing DOM model with functionality mapped directly to DOM nodes. ...
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. ...
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. ...
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. ...
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. ...
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. ...
vx alternatives & related posts
related Flight 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.
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.
- 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.
- 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
related C3.js posts
amCharts
- Mock-up tools18
- Each element can be Customized3
- Amcharts upgrade often need to rewrite all code1