googlesheets4 VS dplyr

Compare googlesheets4 vs dplyr and see what are their differences.

googlesheets4

Google Spreadsheets R API (reboot of the googlesheets package) (by tidyverse)
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googlesheets4 dplyr
4 40
352 4,658
0.9% 0.5%
4.7 7.1
4 days ago 3 days 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.

googlesheets4

Posts with mentions or reviews of googlesheets4. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-11.

dplyr

Posts with mentions or reviews of dplyr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-15.

What are some alternatives?

When comparing googlesheets4 and dplyr you can also consider the following projects:

ExcelDataReader - Lightweight and fast library written in C# for reading Microsoft Excel files

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob

unpivotr - Unpivot complex and irregular data layouts in R

Rustler - Safe Rust bridge for creating Erlang NIF functions

ShinyWebAppWithFormAndLeafletMap - This repo contains the code to build a webapp for data collection and viewing the map on a leaflet map using R Shiny. The specific webapp that I built is aimed to collect data of sustainability practices of various eateries around the world, in the times of climate change.

ggplot2 - An implementation of the Grammar of Graphics in R

nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir

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

rmarkdown - Dynamic Documents for R

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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

regression-js - Curve Fitting in JavaScript.