tmap VS mapview

Compare tmap vs mapview and see what are their differences.

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tmap mapview
3 2
837 503
1.6% -0.2%
9.4 6.2
7 days ago 23 days ago
R JavaScript
GNU General Public License v3.0 only 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.

tmap

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

mapview

Posts with mentions or reviews of mapview. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-02.

What are some alternatives?

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

ggplot2 - An implementation of the Grammar of Graphics in R

terra - R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

absmapsdata - Use ABS ASGS data easily in R

leaflet-search - Search stuff in a Leaflet map

sf - Simple Features for R

worldview - Interactive interface for browsing global, full-resolution satellite imagery

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

AzureMapsCodeSamples - A set of code samples for the Azure Maps web control.

LDAvis - R package for web-based interactive topic model visualization.

echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!