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Deku vs React.js Boilerplate vs amCharts: What are the differences?
# Introduction
### 1. **UI Components**:
Deku and React.js Boilerplate offer a wide range of UI components out of the box, while amCharts primarily focuses on data visualization components rather than general UI components.
### 2. **State Management**:
React.js Boilerplate provides a more robust state management system with Redux, while Deku relies on simpler mechanisms like local component state for managing state. AmCharts, on the other hand, does not have built-in state management capabilities for components.
### 3. **Documentation**:
React.js Boilerplate has comprehensive documentation and a larger community, making it easier for developers to find support and resources. Deku, on the other hand, has shorter and less detailed documentation, which may require more effort from developers to get started. AmCharts also offers extensive documentation and support for their charting components.
### 4. **Customization**:
Both Deku and React.js Boilerplate allow for deep customization of components and theming, while amCharts may have more limited customization options due to its focus on specific data visualization needs.
### 5. **Performance**:
React.js Boilerplate has optimizations and performance enhancements built-in, making it more suitable for large-scale applications. Deku also offers good performance but may not have as many built-in optimizations. AmCharts provides high-performance charting solutions optimized for rendering large datasets efficiently.
### 6. **Community Support**:
React.js Boilerplate has a larger and more active community compared to Deku, which can be beneficial for getting help, finding resources, and keeping up with updates and new features. AmCharts also has a strong community and support system for its charting solutions.
In Summary, Deku and React.js Boilerplate excel in providing a wide range of UI components and flexibility in customization, while amCharts specializes in high-performance data visualization for various charting needs. Each has its strengths and weaknesses depending on the specific requirements of a project.
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Learn MorePros of amCharts
Pros of Deku
Pros of React.js Boilerplate
Pros of amCharts
- Mock-up tools18
- Each element can be Customized3
Pros of Deku
- Small and hackable1
Pros of React.js Boilerplate
- Amazing developer experience4
- Nice tooling4
- Easy setup3
- Easy offline first applications3
- Great documentation3
- Fast1
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Cons of amCharts
Cons of Deku
Cons of React.js Boilerplate
Cons of amCharts
- Amcharts upgrade often need to rewrite all code1
Cons of Deku
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Cons of React.js Boilerplate
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What is 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.
What is Deku?
A library for creating UI components using virtual DOM as an alternative to React. Deku has a smaller footprint (~10kb), a functional API, and doesn't support legacy browsers.
What is React.js Boilerplate?
Quick setup for new performance orientated, offline–first React.js applications featuring Redux, hot–reloading, PostCSS, react-router, ServiceWorker, AppCache, FontFaceObserver and Mocha.
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What companies use amCharts?
What companies use Deku?
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What companies use amCharts?
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What tools integrate with amCharts?
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What are some alternatives to amCharts, Deku, and React.js Boilerplate?
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.
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.
FusionCharts
It 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.
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.