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gbeckers committed Oct 4, 2023
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library for out-of-core computation on very large arrays.
- Minimal dependencies, only `NumPy <http://www.numpy.org/>`__.
Drawbacks
---------
Limitations
-----------
- No `structured (record) arrays <https://numpy.org/doc/stable/user/basics.rec.html>`__
supported yet, just
`ndarrays <https://numpy.org/doc/stable/reference/arrays.ndarray.html>`__
- No string data, just numeric.
- No compression, although compression for archiving purposes is supported.
- Array storages uses multiple files as binary data is separated from text
documentation and metadata.
- Uses multiple files per array, as binary data is separated from text
documentation and metadata. This can be a disadvantage in terms of storage
space if you have very many very small arrays.
See the `documentation <http://darr.readthedocs.io/>`__ for more information.
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