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 time
linux-devel-arm64OK128
linux-devel-x86_64OK160
source / vignettesOK193
linux-release-arm64OK132
linux-release-x86_64OK129
macos-release-arm64NOTE95
macos-release-x86_64NOTE153
macos-oldrel-arm64OK89
macos-oldrel-x86_64OK199
windows-develNOTE119
windows-releaseNOTE164
windows-oldrelOK163
wasm-releaseOK96
wasm-oldrelOK122

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 Jun 05 2025.

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