esquisse VS aRtsy

Compare esquisse vs aRtsy and see what are their differences.

aRtsy

aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'. (by koenderks)
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esquisse aRtsy
4 2
1,739 161
1.2% -
7.2 9.5
8 days ago 2 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.

esquisse

Posts with mentions or reviews of esquisse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-20.

aRtsy

Posts with mentions or reviews of aRtsy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-01.

What are some alternatives?

When comparing esquisse and aRtsy you can also consider the following projects:

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

generativeart - Create Generative Art with R

gganimate - A Grammar of Animated Graphics

shiny.pwa - Progressive Web Apps for r/shiny

ggvenn - Venn Diagram by ggplot2, with really easy-to-use API.

IFSPlot - IFSPlot R package

shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny

mlbplotR - R package to easily plot MLB logos

ggsci - 🦄 Scientific journal and sci-fi themed color palettes for ggplot2

lidR - Airborne LiDAR data manipulation and visualisation for forestry application

ggExtra - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements

timevis - 📅 Create interactive timeline visualizations in R