COVID-19 VS dtplyr

Compare COVID-19 vs dtplyr and see what are their differences.

COVID-19

Plots and analysis relating to the pandemic (by VictimOfMaths)
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COVID-19 dtplyr
2 24
215 670
- 0.1%
4.1 5.2
about 1 year ago 3 months ago
R 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.

COVID-19

Posts with mentions or reviews of COVID-19. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-22.

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 COVID-19 and dtplyr you can also consider the following projects:

ggplot2-book - ggplot2: elegant graphics for data analysis

tidytable - Tidy interface to 'data.table'

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

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

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

tidypolars - Tidy interface to polars

Frustration-One-Year-With-R - An extremely long review of R.

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 πŸš€

tidyr - Tidy Messy Data

Datamancer - A dataframe library with a dplyr like API

plotnine - A Grammar of Graphics for Python

explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

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