JOSS: https://github.com/array-split/array_split
Score: 10.004237455636272
Last synced: about 16 hours ago
JSON representation
Repository metadata:
Python package for decomposing multi-dimensional arrays into sub-arrays (slices) according to multiple criteria.
- Host: GitHub
- URL: https://github.com/array-split/array_split
- Owner: array-split
- License: mit
- Created: 2016-10-02T01:09:46.000Z (almost 10 years ago)
- Default Branch: dev
- Last Pushed: 2024-08-04T05:41:12.000Z (about 2 years ago)
- Last Synced: 2026-07-25T17:06:13.987Z (27 days ago)
- Language: Python
- Homepage:
- Size: 2.89 MB
- Stars: 10
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE.txt
GitHub Events
Total
- Total: 0
Last Year
- Total: 0
Committers metadata
Last synced: 3 days ago
Total Commits: 234
Total Committers: 2
Avg Commits per committer: 117.0
Development Distribution Score (DDS): 0.004
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Shane-J-Latham | S****m | 233 |
| Arfon Smith | a****n | 1 |
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 0
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: about 3 hours
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 1.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- arfon (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 1,099 last-month
- Total dependent packages: 2 (may contain duplicates)
- Total dependent repositories: 4 (may contain duplicates)
- Total versions: 12
- Total maintainers: 1
pypi.org: array-split
The array_split python package is an enhancement to existing numpy.ndarray functions (such as numpy.array_split) which sub-divide a multi-dimensional array into a number of multi-dimensional sub-arrays (slices)
- Homepage: https://github.com/array-split/array_split
- Documentation: https://array-split.readthedocs.io/en/latest/
- Licenses: MIT License
- Latest release: 0.6.5 (published about 2 years ago)
- Last Synced: 2026-08-20T06:32:53.084Z (1 day ago)
- Versions: 11
- Dependent Packages: 1
- Dependent Repositories: 4
- Downloads: 1,099 Last month
-
Rankings:
- Dependent packages count: 4.746%
- Dependent repos count: 7.512%
- Average: 13.982%
- Stargazers count: 17.069%
- Downloads: 17.974%
- Forks count: 22.608%
- Maintainers (1)
conda-forge.org: array_split
The array_split python package is an enhancement to existing numpy.ndarray functions, such as numpy.array_split, skimage.util.view_as_blocks and skimage.util.view_as_windows, which sub-divide a multi-dimensional array into a number of multi-dimensional sub-arrays (slices).
- Homepage: https://github.com/array-split/array_split
- Licenses: MIT
- Latest release: 0.5.2 (published over 6 years ago)
- Last Synced: 2026-08-17T07:28:19.681Z (5 days ago)
- Versions: 1
- Dependent Packages: 1
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 28.82%
- Dependent repos count: 34.025%
- Average: 42.593%
- Stargazers count: 50.157%
- Forks count: 57.37%
Dependencies
- numpy >=1.6
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- softprops/action-gh-release v2 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- numpy >=1.6
- sphinx *
- sphinx_rtd_theme *
- numpy >=1.6
- numpy >=1.6