Package: grumpy 0.1.1.9004

grumpy: Read 'NumPy' '.npy' and '.npz' Files

Lightweight way to read 'NumPy' '.npy' and '.npz' files in R. All data types supported by 'NumPy', with all sizes (converted internally to R native size), both C and 'Fortran' order, and any shape, up to an arbitrary number of dimensions, are supported.

Authors:Hugo Gruson [aut, cre, cph], Mike Smith [aut, cph], German Network for Bioinformatics Infrastructure - de.NBI [fnd]

grumpy_0.1.1.9004.tar.gz
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grumpy_0.1.1.9004.tar.gz(r-4.7-arm64)grumpy_0.1.1.9004.tar.gz(r-4.7-x86_64)grumpy_0.1.1.9004.tar.gz(r-4.6-arm64)grumpy_0.1.1.9004.tar.gz(r-4.6-x86_64)
grumpy_0.1.1.9004.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
grumpy/json (API)

# Install 'grumpy' in R:
install.packages('grumpy', repos = c('https://bisaloo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bisaloo/grumpy/issues

Pkgdown/docs site:https://hugogruson.fr

On CRAN:

Conda:

data-formatdata-importinteroperabilitynpy-filesnpz-filesnumpy-filesquarto

7.91 score 9 stars 10 packages 7 scripts 888 downloads 4 exports 0 dependencies

Last updated from:f6a1183e48. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK100
linux-devel-x86_64OK134
source / vignettesOK184
linux-release-arm64OK83
linux-release-x86_64OK145
macos-release-arm64OK140
macos-release-x86_64OK254
macos-oldrel-arm64OK167
macos-oldrel-x86_64OK181
windows-devel-arm64OK257
windows-devel-x86_64OK116
windows-release-arm64OK230
windows-release-x86_64OK117
windows-oldrel-x86_64OK123
wasm-releaseOK100

Exports:convert_bytes_to_arrayparse_npy_datatyperead_npyread_npz

Dependencies:

Design principles
Scope | Dependencies | Function signatures | Inputs | Outputs | FAQ | Why not use reticulate?

Last update: 2026-10-12
Started: 2026-05-24

Beyond grumpy and .npy files
Introduction to Zarr | Storage size comparison | Decoding speed comparison

Last update: 2026-10-12
Started: 2026-07-21

Getting started with grumpy
Motivation | Using grumpy | Structured datatypes

Last update: 2026-09-25
Started: 2026-05-24

NumPy format compatibility
NumPy format versions | Data types | Dimensions | Pickled objects

Last update: 2026-09-25
Started: 2026-08-17