vroom
Fast reading of delimited files (by tidyverse)
wasmr
Execute WebAssembly from R using wasmer (by dirkschumacher)
| vroom | wasmr | |
|---|---|---|
| 3 | 1 | |
| 608 | 74 | |
| 0.2% | - | |
| 7.6 | 0.0 | |
| 3 months ago | about 4 years ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | 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.
vroom
Posts with mentions or reviews of vroom.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-02.
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Read in from a CSV only those lines which meet a certain condition?
Try Vroom
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Is there a way to load a large SAS7BDAT dataset into R efficiently with fair speed?
You can use an `rds` file. You have to read it in then write it out though. If you care about speed, then just use `readr::write_rds`, which is similar to the base `saveRDS`, but with compression off, but the file size will be much larger. You can also use random access objects, such as `fst`: https://www.fstpackage.org/, but again, need to write it out. I tried a quick benchmark and `haven` is much faster than `sas7bdat` package. If it's in a plain text delimited file, you can also look into `vroom`: https://github.com/r-lib/vroom
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what is the difference between read_csv and read.csv other than the speed ?
If you are looking for speed, I’d thoroughly recommend vroom: https://github.com/r-lib/vroom
wasmr
Posts with mentions or reviews of wasmr.
We have used some of these posts to build our list of alternatives
and similar projects.
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Announcing Wasmer 1.0, the mature & fast WebAssembly runtime; with 3 compilers, 2 engines and ton of new features!
Not to add more confusion but to promote a cool project, there is wasmr which allows to run WebAssembly inside R, just like Wasmer Python embedding allows to run WebAssembly inside Python. Just wanted to mention this project because we are talking about R :-).
What are some alternatives?
When comparing vroom and wasmr you can also consider the following projects:
rstan - RStan, the R interface to Stan
SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
Rapidcsv - C++ CSV parser library
wabt - The WebAssembly Binary Toolkit
csvdecoder - Go library for parsing and deserialising CSV files into Go objects
asm-dom - A minimal WebAssembly virtual DOM to build C++ SPA (Single page applications)
Vince's CSV Parser - A modern C++ library for reading, writing, and analyzing CSV (and similar) files.
SoftwareRenderer - Software rendering engine with PBR. Built from scratch on C++.