ggplot2 VS tmap

Compare ggplot2 vs tmap and see what are their differences.

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ggplot2 tmap
62 3
6,375 844
0.7% 0.7%
9.4 9.4
5 days ago 5 days ago
R R
GNU General Public License v3.0 or later GNU General Public License v3.0 only
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.

tmap

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

What are some alternatives?

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

Altair - Declarative statistical visualization library for Python

absmapsdata - Use ABS ASGS data easily in R

vega - A visualization grammar.

sf - Simple Features for R

dplyr - dplyr: A grammar of data manipulation

mapview - Interactive viewing of spatial data in R

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

worldview - Create an image of a random location in the world (from an XYZ server)

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.

mirt - Multidimensional item response theory

her-majesty-php - Britanised edition of PHP

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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