Overview

D3.js

Stacks1.9K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

React PivotTable

Stacks7

Followers29

Votes0

GitHub Stars1.0K

Forks279

D3.js vs React PivotTable: What are the differences?

# Introduction
This Markdown code provides a comparison between D3.js and React PivotTable by highlighting key differences between the two.

1. **Data Visualization Capabilities**: D3.js is primarily a data visualization library that allows users to create complex and customizable visualizations using data. On the other hand, React PivotTable is a data analysis tool that is specialized in creating pivot tables for structured data. While D3.js offers a wide range of visualization options, React PivotTable is focused on providing a specific type of data analysis functionality.

2. **Programming Paradigm**: D3.js is a low-level library that requires users to have a good understanding of SVG and DOM manipulation for creating visualizations. In contrast, React PivotTable is built on top of React.js, a popular JavaScript library for building user interfaces, which means that users can leverage React's component-based architecture to create pivot tables with ease. This difference in programming paradigm can impact the learning curve and ease of use for developers.

3. **Customization and Control**: D3.js offers extensive customization and control over every aspect of the visualizations, allowing users to create highly customized and interactive data visualizations. On the other hand, React PivotTable provides a more structured approach to creating pivot tables, limiting the level of customization available to users. This difference in customization and control can influence the flexibility and creative possibilities of the data visualization process.

4. **Community and Ecosystem**: D3.js has a large and active community of developers and designers, with a wide range of third-party extensions, plugins, and resources available for building data visualizations. In comparison, React PivotTable is a more niche tool with a smaller community and fewer resources available for support and customization. The availability of community support and resources can impact the ease of development and scalability of projects using these libraries.

5. **Performance and Rendering**: D3.js has been optimized for rendering large datasets efficiently, making it suitable for creating complex and interactive visualizations with high performance. React PivotTable, being focused on creating pivot tables, may not have the same level of performance optimization for rendering large datasets. This difference in performance and rendering capabilities can affect the responsiveness and scalability of projects that require handling large amounts of data.

6. **Integration with Other Libraries**: D3.js can be integrated seamlessly with other JavaScript libraries and frameworks, providing flexibility for developers to combine different tools for data visualization and manipulation. React PivotTable, being built on React.js, can easily integrate with other React components and libraries, ensuring a cohesive user interface design. This difference in integration capabilities can influence the compatibility and interoperability of the libraries with other tools and technologies.

# Summary
In summary, D3.js is a versatile data visualization library with extensive customization and control, while React PivotTable is a specialized data analysis tool built on React.js for creating pivot tables. Developers can choose between the two based on their specific requirements for data visualization and analysis tasks.

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Advice on D3.js, React PivotTable

Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

55.9k views55.9k

Comments

Detailed Comparison

D3.js	React PivotTable
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.	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.
Declarative Approach for Individual Nodes Manipulation; Functions Factory; Web Standards; Built-in ELement Inspector to Debug; Uses SVG, Canvas, and HTML; Data-driven approach to DOM Manipulation; Voronoi Diagrams; Maps and topo.	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 111.7K	GitHub Stars 1.0K
GitHub Forks 22.9K	GitHub Forks 279
Stacks 1.9K	Stacks 7
Followers 1.7K	Followers 29
Votes 653	Votes 0
Pros & Cons
Pros 195 Beautiful visualizations 103 Svg 92 Data-driven 81 Large set of examples 61 Data-driven documents Cons 11 Beginners cant understand at all 6 Complex syntax	No community feedback yet
Integrations
JavaScript React Native AngularJS React Bootstrap	React

What are some alternatives to D3.js, React PivotTable?

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.