uefa-ec
Visualizing bilateral links between Euro squads and players clubs (by guyabel)
paletter
build your palette from a picture √ (by AndreaCirilloAC)
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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.
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
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
What are some alternatives?
When comparing uefa-ec and paletter you can also consider the following projects:
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
votemapswitzerland - A Swiss version of the famous visualization «Land doesn't vote, people do.»
TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge
vapoRwave - 📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨🎤📺
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.