Package: zstdlite 0.2.6

Mike Cheng

zstdlite: Fast Compression and Serialization with 'Zstandard' Algorithm

Fast, compressed serialization of R objects using the 'Zstandard' algorithm. R objects can be compressed and decompressed quickly using the standard serialization mechanism in R. Raw byte vectors and strings are also handled directly for compatibility with compressed data created by other systems and programs supporting 'Zstandard' compression. Dictionaries are supported for more effective compression of small data, and functions are provided for training these dictionaries. This implementation is a wrapper around the 'Zstandard' 'C' library which is available from <https://github.com/facebook/zstd>.

Authors:Mike Cheng [aut, cre, cph], Yann Collet [ctb, cph], Meta Platforms, Inc. and affiliates. [cph]

zstdlite_0.2.6.tar.gz
zstdlite_0.2.6.zip(r-4.5)
zstdlite_0.2.6.tgz(r-4.6-x86_64)zstdlite_0.2.6.tgz(r-4.6-arm64)zstdlite_0.2.6.tgz(r-4.5-x86_64)zstdlite_0.2.6.tgz(r-4.5-arm64)

zstdlite_0.2.6.tgz(r-4.5-emscripten)
manual.pdf |manual.html
card.svg |card.png
zstdlite/json (API)
NEWS

# Install 'zstdlite' in R:
install.packages('zstdlite', repos = c('https://staging.r-multiverse.org', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/coolbutuseless/zstdlite/issues

On CRAN:

Conda:

zstd

4.19 score 31 stars 7 scripts 12 exports 0 dependencies

Last updated from:585458ccbe. Checks:6 FAIL, 4 OK, 3 NOTE. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64FAIL125
linux-devel-x86_64FAIL129
source / vignettesOK213
linux-release-arm64OK169
linux-release-x86_64OK151
macos-release-arm64FAIL94
macos-release-x86_64FAIL213
macos-oldrel-arm64NOTE79
macos-oldrel-x86_64NOTE179
windows-develFAIL73
windows-releaseFAIL52
windows-oldrelNOTE127
wasm-releaseOK101

Exports:zstd_cctxzstd_cctx_settingszstd_compresszstd_dctxzstd_dctx_settingszstd_decompresszstd_dict_idzstd_serializezstd_train_dict_compresszstd_train_dict_serializezstd_unserializezstd_version

Dependencies:

Dictionaries

Rendered fromdictionaries.Rmdusingknitr::rmarkdownon Apr 05 2026.

Last update: 2024-03-04
Started: 2024-03-04