D3.js vs dygraphs

Overview

D3.js

Stacks2.0K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

dygraphs

Stacks13

Followers10

Votes0

D3.js vs dygraphs: What are the differences?

Introduction

D3.js and dygraphs are both powerful JavaScript libraries that are commonly used for data visualization. While they share some similarities, there are key differences between the two that make them suitable for different use cases. In this article, we will explore the main differences between D3.js and dygraphs.

Data Formats and Flexibility: One of the key differences between D3.js and dygraphs lies in their handling of data formats and flexibility. D3.js allows for more flexibility in terms of data formats, as it can handle a wide range of input formats including JSON, CSV, and TSV. On the other hand, dygraphs is more restrictive and requires data to be in a specific time-series format, limiting its versatility in handling different data formats.
Customization and Scalability: D3.js provides a high level of customization and scalability, allowing developers to create highly customized and interactive visualizations. The library offers a wide range of built-in functions and tools for manipulating data and graphical elements. In contrast, dygraphs has more limited customization options and is primarily focused on providing out-of-the-box solutions for time-series charting.
Community and Documentation: D3.js has a large and active community of developers, which means that there are plentiful resources and examples available online. The library has extensive documentation and a wealth of tutorials and code samples that can help beginners get started. In comparison, dygraphs has a smaller community and less extensive documentation, which may make it more challenging for developers to find the information they need.
Performance and Efficiency: D3.js is known for its performance and efficiency when handling large and complex datasets. It leverages the power of SVG and HTML5 to create smooth and responsive visualizations. On the other hand, dygraphs may struggle with large datasets and may not perform as well as D3.js in terms of rendering speed and efficiency.
Dependencies and Size: D3.js is a standalone library and does not have any external dependencies, making it lightweight and easy to integrate into projects. Dygraphs, on the other hand, has a dependency on the Google Visualization API and requires the inclusion of additional scripts, which increases the overall size and complexity of the codebase.
Flexibility vs Ease of Use: D3.js offers a high level of flexibility and control over the visualization process, allowing developers to create complex and customized visualizations. This flexibility, however, comes at the cost of a steeper learning curve. Dygraphs, on the other hand, prioritizes ease of use and simplicity, making it more beginner-friendly but offering limited flexibility for advanced users.

In Summary, D3.js and dygraphs differ in terms of data formats and flexibility, customization and scalability, community and documentation, performance and efficiency, dependencies and size, as well as the balance between flexibility and ease of use. Developers should consider these differences when choosing between the two libraries for their data visualization needs.

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Advice on D3.js, dygraphs

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.

56.1k views56.1k

Comments

Detailed Comparison

D3.js	dygraphs
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.	It is a fast, flexible open source JavaScript charting library. It allows users to explore and interpret dense data sets.
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.	Plots time series without using an external server or Flash; Supports error bands around data series; Interactive pan and zoom; Displays values on mouseover; Adjustable averaging period; Extensive set of options for customization.; Compatible with the Google Visualization API
Statistics
GitHub Stars 111.7K	GitHub Stars -
GitHub Forks 22.9K	GitHub Forks -
Stacks 2.0K	Stacks 13
Followers 1.7K	Followers 10
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	JavaScript

What are some alternatives to D3.js, dygraphs?

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.

ApexCharts

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

Related Comparisons

D3.js vs dygraphs: What are the differences?

Introduction

Data Formats and Flexibility: One of the key differences between D3.js and dygraphs lies in their handling of data formats and flexibility. D3.js allows for more flexibility in terms of data formats, as it can handle a wide range of input formats including JSON, CSV, and TSV. On the other hand, dygraphs is more restrictive and requires data to be in a specific time-series format, limiting its versatility in handling different data formats.
Customization and Scalability: D3.js provides a high level of customization and scalability, allowing developers to create highly customized and interactive visualizations. The library offers a wide range of built-in functions and tools for manipulating data and graphical elements. In contrast, dygraphs has more limited customization options and is primarily focused on providing out-of-the-box solutions for time-series charting.
Community and Documentation: D3.js has a large and active community of developers, which means that there are plentiful resources and examples available online. The library has extensive documentation and a wealth of tutorials and code samples that can help beginners get started. In comparison, dygraphs has a smaller community and less extensive documentation, which may make it more challenging for developers to find the information they need.
Performance and Efficiency: D3.js is known for its performance and efficiency when handling large and complex datasets. It leverages the power of SVG and HTML5 to create smooth and responsive visualizations. On the other hand, dygraphs may struggle with large datasets and may not perform as well as D3.js in terms of rendering speed and efficiency.
Dependencies and Size: D3.js is a standalone library and does not have any external dependencies, making it lightweight and easy to integrate into projects. Dygraphs, on the other hand, has a dependency on the Google Visualization API and requires the inclusion of additional scripts, which increases the overall size and complexity of the codebase.
Flexibility vs Ease of Use: D3.js offers a high level of flexibility and control over the visualization process, allowing developers to create complex and customized visualizations. This flexibility, however, comes at the cost of a steeper learning curve. Dygraphs, on the other hand, prioritizes ease of use and simplicity, making it more beginner-friendly but offering limited flexibility for advanced users.

D3.js vs dygraphs

Overview