| Name | cubed JSON |
| Version |
0.14.2
JSON |
| download |
| home_page | None |
| Summary | Bounded-memory serverless distributed N-dimensional array processing |
| upload_time | 2024-04-17 10:44:58 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Apache License 2.0 |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
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# Cubed
**_Note: this is a proof-of-concept, and many things are incomplete or don't work._**
## Bounded-memory serverless distributed N-dimensional array processing
Cubed is a distributed N-dimensional array library implemented in Python using bounded-memory serverless processing and Zarr for storage.
- Implements the [Python Array API standard](https://data-apis.org/array-api/latest/) (see [coverage status](./api_status.md))
- Guaranteed maximum memory usage for standard array functions
- Follows [Dask Array](https://docs.dask.org/en/stable/array.html)'s chunked array API (`map_blocks`, `rechunk`, `apply_gufunc`, etc)
- [Zarr](https://zarr.readthedocs.io/en/stable/) for persistent and intermediate storage
- Multiple serverless runtimes: Python (in-process), [Lithops](https://lithops-cloud.github.io/), [Modal](https://modal.com/), [Apache Beam](https://beam.apache.org/)
- Integration with [Xarray](https://xarray.dev/) via [cubed-xarray](https://github.com/xarray-contrib/cubed-xarray)
[Documentation](https://tomwhite.github.io/cubed)
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