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

4.19 score 31 stars 7 scripts 12 exports 0 dependencies

Last updated from:585458ccbe (on v0.2.6). Checks:7 OK, 3 WARNING, 3 NOTE. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK142
source / vignettesOK256
linux-release-arm64OK124
linux-release-x86_64OK135
macos-devel-arm64WARNING128
macos-devel-x86_64WARNING198
macos-release-arm64NOTE99
macos-release-x86_64NOTE163
windows-develWARNING101
windows-releaseNOTE109
windows-oldrelOK123
wasm-releaseOK88

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 Mar 02 2026.

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