fst: Lightning Fast Serialization of Data Frames (original) (raw)
Multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for full random access of stored data and a wide range of compression settings using the LZ4 and ZSTD compressors.
Version: | 0.9.8 |
---|---|
Depends: | R (≥ 3.0.0) |
Imports: | fstcore, Rcpp |
LinkingTo: | Rcpp, fstcore |
Suggests: | testthat, bit64, data.table, lintr, nanotime, crayon |
Published: | 2022-02-08 |
DOI: | 10.32614/CRAN.package.fst |
Author: | Mark Klik [aut, cre, cph] |
Maintainer: | Mark Klik |
BugReports: | https://github.com/fstpackage/fst/issues |
License: | AGPL-3 | file |
URL: | http://www.fstpackage.org |
NeedsCompilation: | yes |
SystemRequirements: | little-endian platform |
CRAN checks: | fst results |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: | CongressData, dafishr, DisImpact, disk.frame, genekitr, geneset, hdd, healthyAddress, hkdatasets, ieegio, IGoRRR, jagstargets, JWileymisc, mrgsim.parallel, nhdplusTools, NMdata, NMsim, ORFik, parquetize, prt, qtl2fst, qtl2pattern, ravepipeline, readabs, ricu, scanMiRApp, SpliceWiz, standartox, tidyfst, tidyft, vigicaen |
---|---|
Reverse suggests: | brms.mmrm, drake, epiCleanr, expss, grattan, heims, hutils, lazyarray, magicaxis, randomForestSRC, rio, targets, wpa |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=fstto link to this page.