Poorman Alternatives

Similar projects and alternatives to poorman based on common topics and language

re2

1 24 1.0 C++ poorman VS re2

R interface to Google re2 (C++) regular expression engine (by girishji)
pak

1 492 10.0 R poorman VS pak

A fresh approach to package installation (by r-lib)
InfluxDB

www.influxdata.com
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Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
tidytable

1 383 9.2 R poorman VS tidytable

Tidy interface to 'data.table'
dplyr

0 4,399 9.6 R poorman VS dplyr

dplyr: A grammar of data manipulation
fastverse

0 176 3.7 R poorman VS fastverse

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
ggplot2

0 5,836 7.8 R poorman VS ggplot2

An implementation of the Grammar of Graphics in R
awesome-R

0 5,413 0.0 R poorman VS awesome-R

A curated list of awesome R packages, frameworks and software.
SonarQube

www.sonarqube.org
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Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better poorman alternative or higher similarity.

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poorman reviews and mentions

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.

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?
3 projects | reddit.com/r/rstats | 15 Dec 2022

You might find the poorman package interesting: https://github.com/nathaneastwood/poorman
Just how widely accepted is tidyr/dplyr these days?
2 projects | reddit.com/r/rprogramming | 9 Jun 2022

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.