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Reading .npy and .npz
files in R.
Writing is out of scope. When working across multiple languages, one should prefer high-performance interoperable format (parquet, zarr, etc.).
reticulate?.npy files with {reticulate},
at some point in time, two (sometimes 3) copies of the data are made in
memory: one in Python and one in R. This can be problematic for large
files. With {grumpy}, only one copy of the data is made in
memory.{reticulate} requires a Python
installation and additional python packages, which users in restricted
environments may not have access to. {grumpy} is a pure R
package with no external dependencies.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.