paletter
build your palette from a picture √ (by AndreaCirilloAC)
uefa-ec
Visualizing bilateral links between Euro squads and players clubs (by guyabel)
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.
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.
paletter
Posts with mentions or reviews of paletter.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Is there python library equivalent of paletteR for color palette analysis/visualization?
R package: https://github.com/AndreaCirilloAC/paletter
uefa-ec
Posts with mentions or reviews of uefa-ec.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[OC] The evolution of squad compositions at UEFA European Championships
Code: https://github.com/guyabel/uefa-ec
What are some alternatives?
When comparing paletter and uefa-ec you can also consider the following projects:
votemapswitzerland - A Swiss version of the famous visualization «Land doesn't vote, people do.»
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
vapoRwave - 📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨🎤📺
TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge
ggplot2 - An implementation of the Grammar of Graphics in R
TidyTuesday - My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.