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Dashboards by Keen IO vs React Starter Kit: What are the differences?
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- Pricing Model: Dashboards by Keen IO follows a usage-based pricing model where you are charged based on the number of API requests and storage used, whereas React Starter Kit is an open-source project, which means you do not have to pay for the software itself.
- Customization Options: Dashboards by Keen IO offers extensive customization options such as customizing data visualizations, themes, and dashboards according to your specific needs, while React Starter Kit provides a basic foundation for building web applications in React without as many pre-built features for customization.
- Data Connection Options: Dashboards by Keen IO integrates easily with various data sources like databases, APIs, and IoT devices, enabling seamless data collection and analysis, whereas React Starter Kit does not offer built-in data connection features and requires manual implementation for data integration.
- Community Support: React Starter Kit benefits from a large and active community of developers who contribute to its ongoing development and provide support through forums and online resources, while Dashboards by Keen IO may have limited community support due to being a more specialized and paid platform.
- User Interface Design: Dashboards by Keen IO provides a user-friendly interface for creating and managing dashboards with drag-and-drop functionality and real-time updates, whereas React Starter Kit focuses more on providing a clean and organized code structure for developers to build their own user interfaces.
- Features and Functionality: Dashboards by Keen IO offers pre-built components, widgets, and features specifically designed for data visualization and analysis, while React Starter Kit primarily focuses on providing a starting point for building web applications and does not include as many specialized data-related features.
In Summary, Dashboards by Keen IO and React Starter Kit differ in pricing, customization options, data connection, community support, user interface design, and features/functionality.
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Pros of React Starter Kit
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Pros of React Starter Kit
- Great project structure for React.js applications2
- Server-side rendering2
- Universal (isomorphic) web app boilerplate2
- BrowserSync and React Hot Loader integration2
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What is Dashboards by Keen IO?
Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.
What is React Starter Kit?
React Starter Kit is an opinionated boilerplate for web development built on top of Facebook's React library, Node.js / Express server and Flux architecture. Containing modern web development tools such as Webpack, Babel and BrowserSync.
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What companies use Dashboards by Keen IO?
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What companies use Dashboards by Keen IO?
What companies use React Starter Kit?
See which teams inside your own company are using Dashboards by Keen IO or React Starter Kit.
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What tools integrate with Dashboards by Keen IO?
What tools integrate with React Starter Kit?
What tools integrate with Dashboards by Keen IO?
No integrations found
What tools integrate with React Starter Kit?
What are some alternatives to Dashboards by Keen IO and React Starter Kit?
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
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.
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.