Scalable array processing with bounded memory
Cubed is a Python library for scalable out-of-core multi-dimensional array processing with bounded memory.
- Cubed provides NumPy and Xarray APIs for processing your multi-dimensional array data
- Cubed is a drop-in replacement for Dask's Array API
- Cubed will tell you if your computation would run out of memory before running it
- Cubed is designed to be robust to failures and will reliably complete a computation
- Cubed can process hundreds of GB of array data on your laptop using all available cores
- Cubed is horizontally scalable and stateless, and can scale to multi-TB datasets in the cloud
2 maintainers
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2 maintainers
Release files for cubed 0.28.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cubed-0.28.0.tar.gz | 189.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cubed-0.28.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 430.6 kB
Release files / cubed-0.28.0.tar.gz
| Download URL | cubed-0.28.0.tar.gz |
|---|---|
| Size | 189.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / cubed-0.28.0-py3-none-any.whl
| Download URL | cubed-0.28.0-py3-none-any.whl |
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| Size | 240.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.13.12
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