ggplot2-book VS dtplyr

Compare ggplot2-book vs dtplyr and see what are their differences.

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ggplot2-book dtplyr
31 24
1,590 671
0.6% 0.1%
0.0 3.6
6 months ago 22 days ago
Perl R
- 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.

ggplot2-book

Posts with mentions or reviews of ggplot2-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-04.

dtplyr

Posts with mentions or reviews of dtplyr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-09.

What are some alternatives?

When comparing ggplot2-book and dtplyr you can also consider the following projects:

r4ds - R for data science: a book

tidytable - Tidy interface to 'data.table'

cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

tidypolars - Tidy interface to polars

mech - 🦾 Mech is a programming language for building data-driven systems like robots, games, and interfaces. Start here!

vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)

dataiter - Simple, light-weight data frames for Python

handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Datamancer - A dataframe library with a dplyr like API

tidyr - Tidy Messy Data

tidyexplain - 🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate

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Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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