deneb VS ggplot2

Compare deneb vs ggplot2 and see what are their differences.


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. (by deneb-viz)


An implementation of the Grammar of Graphics in R (by tidyverse)
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deneb ggplot2
3 29
36 5,229
- 1.0%
9.1 8.4
2 days ago 17 days ago
TypeScript R
MIT License 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.


Posts with mentions or reviews of deneb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-24.


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 2021-12-13.

What are some alternatives?

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

Altair - Declarative statistical visualization library for Python

tmap - R package for thematic maps

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

ggshadow - A collection of geoms for R's 'ggplot2' library. geom_shadowpath(), geom_shadowline(), geom_shadowstep() and geom_shadowpoint() functions draw a shadow below lines to make busy plots more aesthetically pleasing. geom_glowpath(), geom_glowline(), geom_glowstep() and geom_glowpoint() add a neon glow around lines to get a steampunk style.

vega - A visualization grammar.

dplyr - dplyr: A grammar of data manipulation

mirt - Multidimensional item response theory

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

drc - Fitting dose-response models in R

chess - An R package to read, write, create and explore chess games

fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps