Scope
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.).
FAQ
Why not use reticulate?
- When reading
.npyfiles 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. - Reading data with 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.