poorman
A poor man's dependency free grammar of data manipulation (by nathaneastwood)
fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R (by fastverse)
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poorman | fastverse | |
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2 | 3 | |
328 | 213 | |
- | 1.9% | |
5.7 | 6.8 | |
3 months ago | 19 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
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.
poorman
Posts with mentions or reviews of poorman.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-15.
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Why is {dplyr} so huge, and are there any alternatives or a {dplyr} 'lite' that I can use for the basic mutate, group_by, summarize, etc?
You might find the poorman package interesting: https://github.com/nathaneastwood/poorman
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Just how widely accepted is tidyr/dplyr these days?
It's true that their packages are heavy on dependencies, and if that is a concern, you have alternatives: - poorman: no dependencies, same syntax as dplyr, but only includes basic verbs. - datawizard: low dependencies, slightly different syntax, has base-R implementations of most of dplyr / tidyr functions, plus some other goodies likes scaling, mean-centering, rank transforming, ... - And of course, data.table: 0 dependencies, ultra-fast (everything is written in optimized C under the hood), can manipulate much bigger data than the Tidyverse, and can do everything the tidyverse can when it comes to data wrangling (however, sometimes the tidyverse has convenience functions that make some operations shorter than with data.table). The downside is that data.table's syntax requires more efforts to learn / is less intuitive to read for neophytes.
fastverse
Posts with mentions or reviews of fastverse.
We have used some of these posts to build our list of alternatives
and similar projects.
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Looking for a book for better coding - preferably functional
For writing faster code, the first thing you want to try is making sure it's properly vectorised. See The R Inferno for this. Some problems are more difficult than others to vectorise. When vectorisation is impossible, you probably want to interface with C++. First, check if there's already a fast package that serves your needs. If your problem is too specific, consider writing your own C++ code with Rcpp.
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Vectorized function VS Loops
I understand the sentiment and I'm not trying to convince you to start writing optimised code to save ~2ms. There's a ton of optimised tools that I don't use myself because the time benefit is immaterial for what I do.
- Fastverse High-Performance and Low-Dependency Package for Data Manipulation in R
What are some alternatives?
When comparing poorman and fastverse you can also consider the following projects:
re2 - R interface to Google re2 (C++) regular expression engine
targets - Function-oriented Make-like declarative workflows for R
awesome-R - A curated list of awesome R packages, frameworks and software.
collapse - Advanced and Fast Data Transformation in R
tidytable - Tidy interface to 'data.table'
engsoccerdata - English and European soccer results 1871-2022
ggplot2 - An implementation of the Grammar of Graphics in R
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
pak - A fresh approach to package installation
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing