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-arm64OK142
linux-devel-x86_64OK131
source / vignettesOK170
linux-release-arm64OK128
linux-release-x86_64OK129
macos-release-arm64NOTE102
macos-release-x86_64NOTE162
macos-oldrel-arm64OK75
macos-oldrel-x86_64OK211
windows-develNOTE107
windows-releaseNOTE108
windows-oldrelOK112
wasm-releaseOK99
wasm-oldrelOK98

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 Jul 05 2025.

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