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  1. Stackups
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  4. Charting Libraries
  5. NVD3 vs Plotly

NVD3 vs Plotly

OverviewComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
NVD3
NVD3
Stacks109
Followers30
Votes0
GitHub Stars7.2K
Forks2.1K

NVD3 vs Plotly: What are the differences?

Key Differences between NVD3 and Plotly

NVD3 and Plotly are two popular data visualization libraries used for creating interactive charts and graphs. While both libraries have their own set of features, there are several key differences that set them apart.

  1. Chart Types: NVD3 provides a variety of chart types including line charts, area charts, scatter plots, bar charts, and pie charts. On the other hand, Plotly offers a wide range of chart types such as line charts, scatter plots, bar charts, box plots, 3D surface plots, maps, and more. Plotly offers a greater variety of visuals compared to NVD3.

  2. Interactivity: Plotly is known for its highly interactive charts that can be easily zoomed, panned, and rotated. It allows users to hover over data points to view tooltips and supports click events for drill-down analysis. NVD3 also provides interactivity with basic features like tooltips and hover effects, but it lacks the advanced interactive capabilities offered by Plotly.

  3. Integrations and Compatibility: NVD3 is primarily designed to work with D3.js, a powerful JavaScript library for data visualization. It is tightly integrated with D3.js and leverages its functionality. On the other hand, Plotly can be used with different programming languages including Python, R, and JavaScript, making it more versatile and compatible with various development environments.

  4. Ease of Use: NVD3 tends to have a steeper learning curve due to its tight integration with D3.js. It requires a good understanding of JavaScript and D3.js concepts to effectively utilize its features. On the other hand, Plotly provides a user-friendly interface with intuitive APIs, making it easier for developers to create charts and graphs without extensive knowledge of underlying libraries.

  5. Hosting Options: NVD3 is typically employed as a client-side library, which means the charts and graphs are rendered within the user's web browser. Plotly provides hosting options where charts can be hosted on Plotly's servers, allowing you to embed interactive charts directly into your website or share them with others. This hosting feature gives Plotly an advantage in terms of easy sharing and collaboration.

  6. Pricing: NVD3 is an open-source library and is free to use, without any licensing fees. Plotly, however, offers both open-source and commercial plans, with advanced features and hosting options available for paid subscriptions. Depending on the requirements and budget, this difference in pricing may influence the choice between NVD3 and Plotly.

In summary, while both NVD3 and Plotly serve the purpose of data visualization, Plotly offers a wider range of chart types, advanced interactivity, compatibility with multiple programming languages, ease of use, hosting options, and pricing flexibility.

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Detailed Comparison

Plotly.js
Plotly.js
NVD3
NVD3

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.

This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions.

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Build re-usable charts and chart components ;Keep components very customizable
Statistics
GitHub Stars
17.9K
GitHub Stars
7.2K
GitHub Forks
1.9K
GitHub Forks
2.1K
Stacks
399
Stacks
109
Followers
694
Followers
30
Votes
69
Votes
0
Pros & Cons
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
No community feedback yet
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
HTML5
HTML5
D3.js
D3.js
JavaScript
JavaScript
Firefox
Firefox
Google Chrome
Google Chrome
Opera Browser
Opera Browser

What are some alternatives to Plotly.js, NVD3?

D3.js

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

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.

Chart.js

Chart.js

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

Recharts

Recharts

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

ECharts

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

ZingChart

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

amCharts

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

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

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.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

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