readr VS awesome-R

Compare readr vs awesome-R and see what are their differences.

readr

Read flat files (csv, tsv, fwf) into R (by tidyverse)
R CSV fwf Parsing
Source Code
readr.tidyverse.org
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awesome-R

A curated list of awesome R packages, frameworks and software. (by qinwf)
R Data Science Data Analysis Awesome List awesome-list Rstats
Source Code
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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readr awesome-R
1 6
992 5,783
0.4% -
6.0 4.0
24 days ago 2 months ago
R R
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.

readr

Posts with mentions or reviews of readr. We have used some of these posts to build our list of alternatives and similar projects.
  • Is it safe to use the error handling features of C++ with Rcpp?
    1 project | /r/rstats | 28 Jan 2023
    If you use these error handling features, it does leave things in memory. I believe it’s only for objects you have allocated from c++, so may not be a big deal. For example, here’s where I noticed it in readr, which is presumably fixed now that they use rcpp11 https://github.com/tidyverse/readr/issues/757

awesome-R

Posts with mentions or reviews of awesome-R. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing readr and awesome-R you can also consider the following projects:

evaluate - A version of eval for R that returns more information about what happened

fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps

parquetize - R package that allows to convert databases of different formats to parquet format

easystats - :milky_way: The R easystats-project

ggplot2 - An implementation of the Grammar of Graphics in R

sf - Simple Features for R

r4ds - R for data science: a book

lab02_R_intro - Vežbe 2: Uvod u R

tidyethnicnews - R package for turning Ethnic NewsWatch search results into tidyverse-ready dataframes

viridis - Colorblind-Friendly Color Maps for R

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

llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R

readr vs evaluate awesome-R vs fontawesome readr vs parquetize awesome-R vs easystats readr vs ggplot2 awesome-R vs sf readr vs r4ds awesome-R vs lab02_R_intro readr vs tidyethnicnews awesome-R vs viridis awesome-R vs fastverse awesome-R vs llr