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
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zstdlite.pdf |zstdlite.html
zstdlite/json (API)
NEWS

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

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

On CRAN:

Conda:

zstd

4.18 score 30 stars 7 scripts 12 exports 0 dependencies

Last updated 1 years ago from:585458ccbe (on v0.2.6). Checks:10 OK, 4 NOTE. Indexed: no.

TargetResultTotal timeArtifact
linux-devel-arm64OK131
linux-devel-x86_64OK138
source / vignettesOK197
linux-release-arm64OK123
linux-release-x86_64OK161
macos-release-arm64NOTE107
macos-release-x86_64NOTE139
macos-oldrel-arm64OK91
macos-oldrel-x86_64OK260
windows-develNOTE108
windows-releaseNOTE136
windows-oldrelOK140
wasm-releaseOK118
wasm-oldrelOK105

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 Aug 04 2025.

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