Create a Datacube for scaling geospatial analyses
See the examples directory and DataCube class for more information on the API.
Modified from a tutorial by Ryan Abernathy and the Earthmover team.
Running
This package is intended to be distributed via pip, or with the attached Dockerfile. It may need some updating to handle volume mounts for data, which can be done in the Makefile. And I had some trouble publishing to PyPI from my local Mac M1, but it has been running fine on Linux.
1 maintainer
Metadata
1 maintainer
Release files for crl-datacube 0.1.140
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| crl_datacube-0.1.140.tar.gz | 15.0 kB | Without provenance | Details for crl_datacube-0.1.140.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| crl_datacube-0.1.140-py3-none-any.whl | Python 3 | none | any | Details for crl_datacube-0.1.140-py3-none-any.whl |
Total release size: 27.8 kB
Release files / crl_datacube-0.1.140.tar.gz
| Download URL | crl_datacube-0.1.140.tar.gz |
|---|---|
| Size | 15.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a1683a0c82ce1d81ae3a05e09f28bfec072ab2d7eed429aac3dcc5c6a82c86b2
|
|
BLAKE2b-256 checksum How to use checksums |
bf0c89c68ac739bdbf98bb1550b7f8e42e2c0816ee9f7d51e0bb17883816875d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
Release files / crl_datacube-0.1.140-py3-none-any.whl
| Download URL | crl_datacube-0.1.140-py3-none-any.whl |
|---|---|
| Size | 12.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7a89ede11ab421c6cc17cc80c2fb081418b446096918ddc1a172e83eca88de93
|
|
BLAKE2b-256 checksum How to use checksums |
d4c05a7c70dbf320b2a635e86f45a82653a1f767af6e40119838d38fd4788726
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
Security for crl-datacube 0.1.140
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
