Plotly vs React.js Boilerplate vs Recharts: What are the differences?
Introduction
The following Markdown code provides a comparison between Plotly and React.js Boilerplate and Recharts, highlighting their key differences.
Plotly: Plotly is a data visualization library that provides interactive, browser-based plots. It allows users to create a wide range of charts and graphs, including scatter plots, bar charts, and line plots. Plotly offers a robust set of features for customizing visuals and supports various programming languages, making it a versatile choice for data visualization.
React.js Boilerplate: React.js Boilerplate is a lightweight and scalable front-end development framework built using React.js. It provides a solid foundation and best practices for developing React applications. React.js Boilerplate offers a well-structured project setup with features such as code splitting, hot reloading, and linting. It also includes a testing setup and follows the latest trends in the React ecosystem.
Recharts: Recharts is a charting library specifically designed for React applications. It offers a wide range of customizable charts, including bar charts, line charts, and pie charts. Recharts focuses on simplicity and ease of use, providing developers with a convenient way to create interactive charts within their React components. It supports responsive layouts and provides clear documentation for easy integration.
Plotly vs React.js Boilerplate: The key difference between Plotly and React.js Boilerplate lies in their primary focus. Plotly is primarily used for data visualization and offers a comprehensive set of features specifically tailored for creating interactive plots and graphs. On the other hand, React.js Boilerplate focuses on providing a solid foundation and project structure for developing React applications, without a specific focus on data visualization.
Plotly vs Recharts: While both Plotly and Recharts are data visualization libraries, they differ in their approach and features. Plotly offers a wider range of chart types and more advanced customization options compared to Recharts. Plotly also supports multiple programming languages and provides tools for collaboration and sharing of plots. Recharts, on the other hand, focuses on simplicity and ease of use, providing a streamlined experience for developers looking to incorporate charts into their React components.
React.js Boilerplate vs Recharts: React.js Boilerplate and Recharts serve different purposes and can be used together in a React application. React.js Boilerplate provides the project structure and best practices for developing React applications, while Recharts offers a convenient way to incorporate interactive charts within those applications. By using React.js Boilerplate, developers can benefit from the framework's scalability and performance optimizations, while leveraging Recharts to create visually appealing and interactive charts.
In summary, Plotly is a powerful data visualization library with advanced features, React.js Boilerplate provides a solid foundation for React application development, and Recharts offers a simplified approach to incorporating interactive charts within React components.
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I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.
Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)
If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.
A jupyter notebook is a great place to start developing your code and may be all that you need.
I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use
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.
Quick setup for new performance orientated, offline–first React.js applications featuring Redux, hot–reloading, PostCSS, react-router, ServiceWorker, AppCache, FontFaceObserver and Mocha.
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Using react-transform-hmr, your changes in the CSS and JS get reflected in the app instantly without refreshing the page. That means that the current application state persists even when you change something in the underlying code! For a very good explanation and demo, watch Dan Abramov himself talking about it at react-europe.;Redux is a much better implementation of a flux–like, unidirectional data flow. Redux makes actions composable, reduces the boilerplate code and makes hot–reloading possible in the first place. For a good overview of redux, check out the talk linked above or the official documentation!;Babel is a modular JavaScript transpiler that helps to use next generation JavaScript and more, like transformation for JSX, hot loading, error catching etc. Babel has a solid ecosystem of offical preset and plugins.;PostCSS is like Sass, but modular and capable of much more. PostCSS is, in essence, just a wrapper for plugins which exposes an easy to use, but very powerful API. While it is possible to replicate Sass features with PostCSS, PostCSS has an ecosystem of amazing plugins with functionalities Sass cannot even dream about having. See this talk for a short introduction to PostCSS.;Unit tests should be an important part of every web application developers toolchain. Mocha checks your application is working exactly how it should without you lifting a single finger. Congratulations, you just won a First Class ticket to world domination, fasten your seat belt please!;react-router is used for routing in this boilerplate. Using the new, and currently unreleased, 1.0 version, react-router makes routing really easy to do and takes care of a lot of the work. Since the version is not officially out yet, the documentation is not fully finished, but by far finished enough to work for most needs.;ServiceWorker and AppCache make it possible to use your application offline. As soon as the website has been opened once, it is cached and available without a network connection. See this talk for an explanation of the ServiceWorker used in this boilerplate. manifest.json is specifically for Chrome on Android. Users can add the website to the homescreen and use it like a native app!
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Pros & Cons
Pros
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Bindings to popular languages like Python, Node, R, etc
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Integrated zoom and filter-out tools in charts and maps
