fst: Lightning Fast Serialization of Data Frames

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 <markklik at gmail.com>
BugReports: https://github.com/fstpackage/fst/issues
License: AGPL-3 | file LICENSE
URL: http://www.fstpackage.org
NeedsCompilation: yes
SystemRequirements: little-endian platform
CRAN checks: fst results


Reference manual: fst.pdf


Package source: fst_0.9.8.tar.gz
Windows binaries: r-devel: fst_0.9.8.zip, r-release: fst_0.9.8.zip, r-oldrel: fst_0.9.8.zip
macOS binaries: r-release (arm64): fst_0.9.8.tgz, r-oldrel (arm64): fst_0.9.8.tgz, r-release (x86_64): fst_0.9.8.tgz, r-oldrel (x86_64): fst_0.9.8.tgz
Old sources: fst archive

Reverse dependencies:

Reverse imports: dafishr, DisImpact, disk.frame, epwshiftr, genekitr, geneset, hdd, healthyAddress, hkdatasets, IGoRRR, jagstargets, JWileymisc, mrgsim.parallel, nhdplusTools, NMdata, NMsim, ORFik, parquetize, prt, qtl2fst, qtl2pattern, readabs, ricu, scanMiRApp, SpliceWiz, standartox, tidyfst, tidyft
Reverse suggests: brms.mmrm, drake, epiCleanr, expss, grattan, heims, hutils, lazyarray, magicaxis, randomForestSRC, rio, targets, wpa


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