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.
React PivotTable is a tool in the Charting Libraries category of a tech stack.
React PivotTable is an open source tool with 961 GitHub stars and 245 GitHub forks. Here’s a link to React PivotTable's open source repository on GitHub
Who uses React PivotTable?
Developers
7 developers on StackShare have stated that they use React PivotTable.
React PivotTable Integrations
React PivotTable's 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
- Scatter plots with continuous or discrete axes
React PivotTable Alternatives & Comparisons
What are some alternatives to 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.
