parquetize
R package that allows to convert databases of different formats to parquet format (by ddotta)
readr
Read flat files (csv, tsv, fwf) into R (by tidyverse)
| parquetize | readr | |
|---|---|---|
| 4 | 1 | |
| 56 | 992 | |
| - | 0.4% | |
| 6.8 | 6.0 | |
| 2 months ago | 23 days 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.
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.
parquetize
Posts with mentions or reviews of parquetize.
We have used some of these posts to build our list of alternatives
and similar projects.
- You want to convert your R data to parquet files ? Use parquetize package !
- 🚨New {parquetize} release 🚨Easily convert your data to Parquet format ! Now from any query you want on any DBI compatible RDBMS. https://github.com/ddotta/parquetize/releases/tag/v0.5.6 #rstats #parquet #arrow #DBI More details in release note.
- 🚨🚨New release for {parquetize} R package 🚨🚨 => convert easily your data to Parquet format !
- You're an #rstats user and you need to convert your files to parquet format? Check out the new parquetize package now available on CRAN !
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?
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
What are some alternatives?
When comparing parquetize and readr you can also consider the following projects:
stata-alluvial - A Stata package for alluvial plots
evaluate - A version of eval for R that returns more information about what happened
ftools - Fast Stata commands for large datasets
ggplot2 - An implementation of the Grammar of Graphics in R
targets - Function-oriented Make-like declarative workflows for R
r4ds - R for data science: a book
janitor - simple tools for data cleaning in R
tidyethnicnews - R package for turning Ethnic NewsWatch search results into tidyverse-ready dataframes
sf - Simple Features for R
awesome-R - A curated list of awesome R packages, frameworks and software.
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
rmarkdown - Dynamic Documents for R