Overview

D3.js

Stacks1.9K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

Victory

Stacks35

Followers83

Votes0

GitHub Stars11.2K

Forks537

D3.js vs Victory: What are the differences?

Introduction

D3.js (Data-Driven Documents) and Victory are both JavaScript libraries used for data visualization in websites. However, there are several key differences between the two.

Code structure and approach: D3.js is a low-level library that provides powerful tools for creating interactive and customized visualizations. It offers a flexible approach, allowing developers to have fine-grained control over every aspect of a visualization. On the other hand, Victory is a higher-level library that simplifies the process of creating common chart types with a more declarative syntax. It is designed to be easier to use and ideal for quickly creating basic charts.
Learning curve: Due to its flexible and low-level nature, D3.js has a steep learning curve. It requires a strong understanding of JavaScript and data manipulation, as well as knowledge of SVG (Scalable Vector Graphics) rendering. Victory, on the other hand, has a gentler learning curve as it abstracts some of the complexities of D3.js and provides a simpler API.
Customizability: D3.js offers extensive customization options, allowing developers to create highly customized visualizations. It provides access to the full power of SVG, giving complete control over every element of a visualization. In contrast, Victory provides a more limited set of customization options. While it allows some configuration through props, it may not offer the same level of fine-grained control as D3.js.
Community and documentation: D3.js has a larger and more active community compared to Victory. It has been widely used and has extensive documentation, tutorials, and examples available. Victory, being a newer library, has a smaller community and documentation. However, both libraries have solid support and resources for developers to get started.
Compatibility: D3.js is compatible with a wide range of modern browsers, including older versions of Internet Explorer. It leverages SVG and other web standards to create graphics. On the other hand, Victory uses React as its core dependency and is primarily aimed at React users. It may require additional configuration or compatibility considerations if used outside of a React-based project.
Use cases: Due to its advanced capabilities, D3.js is often preferred for creating complex and highly customized visualizations. It is suitable for projects where full control over the visualization is required and there is a need to handle large datasets. On the other hand, Victory is a good choice for simpler projects or when speed of development is crucial. It is ideal for creating basic charts and can be easily integrated into React applications.

In summary, D3.js and Victory differ in terms of code structure, learning curve, customizability, community support, compatibility, and use cases. While D3.js provides more flexibility and power for advanced visualizations, Victory offers a simpler and easier approach for creating basic charts.

Advice on D3.js, Victory

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	Victory
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.	A collection of composable React components for building interactive data visualizations.
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.	Robust; Flexible; Native
Statistics
GitHub Stars 111.7K	GitHub Stars 11.2K
GitHub Forks 22.9K	GitHub Forks 537
Stacks 1.9K	Stacks 35
Followers 1.7K	Followers 83
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, Victory?

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.