tibble VS ggplot2

Compare tibble vs ggplot2 and see what are their differences.

tibble

A modern re-imagining of the data frame (by tidyverse)

ggplot2

An implementation of the Grammar of Graphics in R (by tidyverse)
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tibble ggplot2
2 64
690 6,608
0.6% 0.5%
8.8 9.5
about 2 months ago 7 days ago
R R
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tibble

Posts with mentions or reviews of tibble. We have used some of these posts to build our list of alternatives and similar projects.

ggplot2

Posts with mentions or reviews of ggplot2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-29.

What are some alternatives?

When comparing tibble and ggplot2 you can also consider the following projects:

tidyr - Tidy Messy Data

Altair - Declarative visualization library for Python

dplyr - dplyr: A grammar of data manipulation

vega - A visualization grammar.

tmap - R package for thematic maps

her-majesty-php - Britanised edition of PHP

mirt - Multidimensional item response theory

postcss-spiffing - PostCSS plugin to use British English

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat

glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.

deneb - Deneb is a custom visual for Microsoft Power BI, which allows developers to use the declarative JSON syntax of the Vega or Vega-Lite languages to create their own data visualizations.

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Did you know that R is
the 52nd most popular programming language
based on number of references?