mapview VS tmap

Compare mapview vs tmap and see what are their differences.

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mapview tmap
2 3
507 838
0.6% 0.2%
6.6 9.4
20 days ago 1 day ago
JavaScript R
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.

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.

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 mapview and tmap you can also consider the following projects:

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

ggplot2 - An implementation of the Grammar of Graphics in R

leaflet-search - Search stuff in a Leaflet map

absmapsdata - Use ABS ASGS data easily in R

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

sf - Simple Features for R

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

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

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!