React Chartkick vs React PivotTable

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React Chartkick

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React PivotTable

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React Chartkick vs React PivotTable: What are the differences?

React Chartkick: Create beautiful JavaScript charts with one line of React. Create beautiful JavaScript charts with one line of React

; 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.

React Chartkick and React PivotTable can be categorized as "Charting Libraries" tools.

Some of the features offered by React Chartkick are:

  • Line charts
  • Pie charts
  • Column charts

On the other hand, React PivotTable provides the following key features:

  • 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

React Chartkick and React PivotTable are both open source tools. It seems that React Chartkick with 1.07K GitHub stars and 53 forks on GitHub has more adoption than React PivotTable with 497 GitHub stars and 98 GitHub forks.

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What is React Chartkick?

Create beautiful JavaScript charts with one line of React

What is React PivotTable?

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.

Need advice about which tool to choose?Ask the StackShare community!

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What tools integrate with React Chartkick?
What tools integrate with React PivotTable?
What are some alternatives to React Chartkick and 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.
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.
See all alternatives