tidytable VS tidyr

Compare tidytable vs tidyr and see what are their differences.

tidytable

Tidy interface to 'data.table' (by markfairbanks)

tidyr

Tidy Messy Data (by tidyverse)
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tidytable tidyr
26 2
433 1,328
- 1.3%
8.3 7.2
9 days ago about 2 months ago
R R
GNU General Public License v3.0 or later 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.

tidytable

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

tidyr

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

What are some alternatives?

When comparing tidytable and tidyr you can also consider the following projects:

dtplyr - Data table backend for dplyr

tidypolars - Tidy interface to polars

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

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.

extendr - R extension library for rust designed to be familiar to R users.

db-benchmark - reproducible benchmark of database-like ops

box - Write reusable, composable and modular R code

lintr - Static Code Analysis for R

ggplot2-book - ggplot2: elegant graphics for data analysis

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