mapview VS worldview

Compare mapview vs worldview and see what are their differences.

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mapview worldview
2 26
507 674
0.6% 0.6%
6.6 9.6
20 days ago 3 days ago
JavaScript JavaScript
GNU General Public License v3.0 only 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.

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.

worldview

Posts with mentions or reviews of worldview. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-09.

What are some alternatives?

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

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

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

leaflet-search - Search stuff in a Leaflet map

tmap - R package for thematic maps

kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.

Frappe Charts - Simple, responsive, modern SVG Charts with zero dependencies

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

TweeView - A Tree View For Tweets

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!