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_0.2.6.tgz(r-4.5-emscripten)
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 from:585458ccbe (on v0.2.6). Checks:9 OK, 4 NOTE. Indexed: no.

TargetResultTotal timeArtifact
linux-devel-arm64OK121
linux-devel-x86_64OK127
source / vignettesOK262
linux-release-arm64OK124
linux-release-x86_64OK161
macos-release-arm64NOTE95
macos-release-x86_64NOTE204
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK199
windows-develNOTE108
windows-releaseNOTE155
windows-oldrelOK125
wasm-releaseOK98

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 Oct 03 2025.

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