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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
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

Documentation:

Reference manual: fst.pdf

Downloads:

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, 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, fastverse, grattan, heims, hutils, lazyarray, magicaxis, rio, targets, wpa

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fst to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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