React PivotTable vs ggplot2

Overview

ggplot2

Stacks124

Followers70

Votes0

GitHub Stars6.8K

Forks2.1K

React PivotTable

Stacks7

Followers29

Votes0

GitHub Stars1.0K

Forks279

React PivotTable vs ggplot2: What are the differences?

React PivotTable: React-based drag'n'drop pivot table with Plotly.js charts. Pivot tables are interactive data exploration and summarization tools which have been a critical part of data analysts’ toolkits for the past 25 years, especially in spreadsheets like Excel. PivotTable.js is one of the most popular Javascript pivot table implementations; react-pivottable is a reimagined version for the modern web; ggplot2: A data visualization package for the statistical programming language R. It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

React PivotTable and ggplot2 belong to "Charting Libraries" category of the tech stack.

Some of the features offered by React PivotTable are:

Roll up, unroll, pivot, and chart data
Summarize your data with various statistical functions
Slice, dice, and drag the menu aside if it's in the way

On the other hand, ggplot2 provides the following key features:

Axis titles
Tickmarks
Margins and points in ggplot2 look cooler

React PivotTable and ggplot2 are both open source tools. It seems that ggplot2 with 4.04K GitHub stars and 1.51K forks on GitHub has more adoption than React PivotTable with 527 GitHub stars and 116 GitHub forks.

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CLI (Node.js)

Manual

Detailed Comparison

ggplot2	React PivotTable
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.	Pivot tables are interactive data exploration and summarization tools which have been a critical part of data analysts’ toolkits for the past 25 years, especially in spreadsheets like Excel. PivotTable.js is one of the most popular Javascript pivot table implementations; react-pivottable is a reimagined version for the modern web.
Axis titles; Tickmarks; Margins and points in ggplot2 look cooler	Roll up, unroll, pivot, and chart data; Summarize your data with various statistical functions; Slice, dice, and drag the menu aside if it's in the way; Scatter plots with continuous or discrete axes
Statistics
GitHub Stars 6.8K	GitHub Stars 1.0K
GitHub Forks 2.1K	GitHub Forks 279
Stacks 124	Stacks 7
Followers 70	Followers 29
Votes 0	Votes 0
Integrations
MATLAB React Python SageMath Jupyter	React

What are some alternatives to ggplot2, React PivotTable?

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.

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.

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.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

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.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.