waffle VS gggenes

Compare waffle vs gggenes and see what are their differences.

gggenes

➡️️➡️️⬅️️➡️️ Draw gene arrow maps in ggplot2 (by wilkox)
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waffle gggenes
1 1
762 466
- -
2.4 6.0
4 months ago 2 months ago
R R
- -
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.

waffle

Posts with mentions or reviews of waffle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-13.

gggenes

Posts with mentions or reviews of gggenes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-13.

What are some alternatives?

When comparing waffle and gggenes you can also consider the following projects:

gganimate - A Grammar of Animated Graphics

gggenomes - A grammar of graphics for comparative genomics

openblas-benchmark-m1 - Benchmarking OpenBLAS on the Apple M1

Synima - Synteny Imager

easystats - :milky_way: The R easystats-project

ggthemr - Themes for ggplot2.

ggshadow - A collection of geoms for R's 'ggplot2' library. geom_shadowpath(), geom_shadowline(), geom_shadowstep() and geom_shadowpoint() functions draw a shadow below lines to make busy plots more aesthetically pleasing. geom_glowpath(), geom_glowline(), geom_glowstep() and geom_glowpoint() add a neon glow around lines to get a steampunk style.

esquisse - RStudio add-in to make plots interactively with ggplot2

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

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

TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge