poorman
re2
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| poorman | re2 | |
|---|---|---|
| 2 | 1 | |
| 328 | 25 | |
| - | - | |
| 5.7 | 3.8 | |
| 3 months ago | 5 months ago | |
| R | C++ | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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
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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.
re2
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Just how widely accepted is tidyr/dplyr these days?
Perl is fast for regex matching, but there is more to processing text than just regex and with parLapply you can parallelize the processing. You can also parallelize re2 and basically destroy Perl if your regex contains |.
What are some alternatives?
awesome-R - A curated list of awesome R packages, frameworks and software.
regexp2 - A full-featured regex engine in pure Go based on the .NET engine
tidytable - Tidy interface to 'data.table'
regex-automata - A low level regular expression library that uses deterministic finite automata.
ggplot2 - An implementation of the Grammar of Graphics in R
re2js - RE2JS is the JavaScript port of RE2, a regular expression engine that provides linear time matching
pak - A fresh approach to package installation
RE-flex - A high-performance C++ regex library and lexical analyzer generator with Unicode support. Extends Flex++ with Unicode support, indent/dedent anchors, lazy quantifiers, functions for lex and syntax error reporting and more. Seamlessly integrates with Bison and other parsers.
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
hyperscan - High-performance regular expression matching library
REFramework - Scripting platform, modding framework and VR support for all RE Engine games
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.