ggplot2 VS Altair

Compare ggplot2 vs Altair and see what are their differences.

ggplot2

An implementation of the Grammar of Graphics in R (by tidyverse)

Altair

Declarative statistical visualization library for Python (by vega)
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ggplot2 Altair
62 43
6,382 9,024
0.8% 1.2%
9.4 8.9
3 days ago 5 days ago
R Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
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.

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 2024-01-02.

Altair

Posts with mentions or reviews of Altair. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

What are some alternatives?

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

tmap - R package for thematic maps

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

vega - A visualization grammar.

bokeh - Interactive Data Visualization in the browser, from Python

dplyr - dplyr: A grammar of data manipulation

seaborn - Statistical data visualization in Python

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

ggplot - ggplot port for python

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

plotnine - A Grammar of Graphics for Python

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.

matplotlib - matplotlib: plotting with Python

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