GWalkR VS esquisse

Compare GWalkR vs esquisse and see what are their differences.

GWalkR

Turn your data frame into a tableau style drag and drop UI interface to build visualization in R. (by Kanaries)
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GWalkR esquisse
2 4
133 1,743
31.8% 0.7%
6.3 9.0
about 1 month ago 19 days ago
TypeScript R
Apache License 2.0 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.

GWalkR

Posts with mentions or reviews of GWalkR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-17.

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.

What are some alternatives?

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

friends-dialog - Data visualization of the most talkative character in each episode of Friends

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

ggthemr - Themes for ggplot2.

gganimate - A Grammar of Animated Graphics

graphic-walker - An open source alternative to Tableau. Embeddable visual analytic

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

pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

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

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