Chart.js VS ggplot2

Compare Chart.js VS ggplot2 and see what are their differences

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Chart.js

Easy, object oriented client side graphs for designers and developers.

ggplot2

Application and Data, Libraries, and Charting Libraries

Landing page //
2023-03-13

Landing page //
2023-02-27

Chart.js

Website: chartjs.org
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ggplot2

Website: ggplot2.tidyverse.org
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Chart.js features and specs

Open Source
Chart.js is open source and free to use, which makes it accessible for both personal and commercial projects without any licensing costs.
Ease of Use
Chart.js is known for its simple and easy-to-use API. Developers can quickly create charts by just including the library and writing minimal JavaScript.
Lightweight
The library is relatively lightweight compared to other charting libraries, which helps in maintaining the performance of web applications.
Responsive Design
Charts created with Chart.js are responsive by default, ensuring that they look good on all devices, including desktops, tablets, and mobile phones.
Variety of Chart Types
Chart.js supports a variety of chart types including line, bar, radar, pie, doughnut, and polar area charts, providing flexibility for different data visualization needs.
Customization
Developers can customize the appearance of charts extensively through Chart.js options such as colors, labels, and tooltips.
Active Community
Chart.js has an active community and a strong support base, which means that developers can easily find help, tutorials, and plugins to enhance functionality.

Possible disadvantages of Chart.js

Limited Advanced Features
While Chart.js is good for basic and intermediate charting needs, it may lack some advanced features and customizations offered by more complex charting libraries like D3.js.
Performance Issues with Large Datasets
Chart.js can struggle with performance when dealing with very large datasets or complex visualizations, which can result in slower rendering times.
Learning Curve for Customization
Although the basic usage is straightforward, achieving deeper customizations can involve a steeper learning curve as it requires understanding the underlying JavaScript and options.
Limited Interactivity
Interactivity options with Chart.js are somewhat limited compared to other libraries that offer more advanced interactive features.
Dependency on Canvas
Charts are rendered using the HTML5 canvas element, which may not be as flexible as SVG-based rendering used by some other libraries.

ggplot2 features and specs

No features have been listed yet.

Chart.js videos

+ Add

1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript

ggplot2 videos

+ Add

Learn R: An Introduction to ggplot2

Category Popularity

0-100% (relative to Chart.js and ggplot2)

Chart.js

ggplot2

Charting Libraries

98 98%

Charting Libraries

2% 2

Technical Computing

0 0%

Technical Computing

100% 100

Data Visualization

92 92%

Data Visualization

8% 8

Data Dashboard

95 95%

Data Dashboard

5% 5

User comments

Share your experience with using Chart.js and ggplot2. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Chart.js and ggplot2

Chart.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023

Of the free libraries on this list, ECharts has the widest range of chart types available, second only to D3. Unlike D3, ECharts also ranks highly on the user-friendliness scale, although some users find ApexCharts and Chart.js even easier to use. You can check out some examples of basic charts on ECharts.

Source: embeddable.com

5 top picks for JavaScript chart libraries

Chart.js is a chart library that is available as a client-side JavaScript package. There are also derivatives for other frontend frameworks, like React, Vue, and Angular. It displays the chart on an HTML canvas element.

Source: blog.logrocket.com

Top 10 JavaScript Charting Libraries for Every Data Visualization Need

Chart.js is a simple yet quite flexible JavaScript library for data viz, popular among web designers and developers. It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear and informative at a glance.

Source: hackernoon.com

A Complete Overview of the Best Data Visualization Tools

Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so itâs great for creating visualizations that are mobile-friendly.

Source: www.toptal.com

The Best Data Visualization Tools - Top 30 BI Software

Chart.js is better for smaller chart projects. It’s open source and small in size, supporting six different types of charts: bar, line, pie, radar, doughnut, and polar. You can also add or remove any of these 6 types to reduce your footprint. Chart.js uses HTML5 Canvas and ships with polyfills for IE6/7 support. Chart.js offers the ability to create simple charts quickly.

Source: improvado.io

ggplot2 Reviews

5 Best Python Libraries For Data Visualization in 2023

ggplot is a system for creating graphics declaratively. It’s based on the Grammar of Graphics of R programming language and is tightly integrated with Pandas. ggplot just requires you to declare how to map the variables to aesthetics and primitives to use and handles the rest automatically. Remember, ggplot is not recommended for creating highly customized graphics.

Source: www.technotification.com

Top 8 Python Libraries for Data Visualization

Ggplot is a Python data visualization library that is based on the implementation of ggplot2 which is created for the programming language R. Ggplot can create data visualizations such as bar charts, pie charts, histograms, scatterplots, error charts, etc. using high-level API. It also allows you to add different types of data visualization components or layers in a single...

Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, ggplot2 seems to be a lot more popular than Chart.js. While we know about 11 links to ggplot2, we've tracked only 1 mention of Chart.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Chart.js mentions (1)

Chart library for Svelte?
Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: almost 4 years ago

ggplot2 mentions (11)

Ask HN: What plotting tools should I invest in learning?
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / almost 2 years ago
Relative frequency of letters in five-letter English words (Wordle aid) [OC]
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package. Source: almost 2 years ago
[OC] U.S. News & World Report Best Colleges: 2002 to 2023
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: almost 2 years ago
Facts about Aaron Boone's Ejections as Manager
I used the ggplot2 package in R to create these figures. Source: almost 2 years ago
Fueling Innovation and Collaborative Storytelling
This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and... - Source: dev.to / almost 2 years ago