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'))

Peer review:

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

On CRAN:

zstd

4.76 score 29 stars 7 scripts 12 exports 0 dependencies

Last updated 10 months agofrom:585458ccbe (on v0.2.6). Checks:OK: 8 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-win-x86_64NOTEDec 19 2024
R-4.5-linux-x86_64OKDec 19 2024
R-4.4-win-x86_64OKDec 19 2024
R-4.4-mac-x86_64OKDec 19 2024
R-4.4-mac-aarch64OKDec 19 2024
R-4.3-win-x86_64OKDec 19 2024
R-4.3-mac-x86_64OKDec 19 2024
R-4.3-mac-aarch64OKDec 19 2024

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 Dec 19 2024.

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