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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 .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.
  • 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.