JOSS: https://github.com/DiamondLightSource/volume-segmantics
Score: 7.640123172695364
Last synced: about 2 hours ago
JSON representation
Repository metadata:
A toolkit for semantic segmentation of volumetric data using PyTorch deep learning models
- Host: GitHub
- URL: https://github.com/DiamondLightSource/volume-segmantics
- Owner: DiamondLightSource
- License: apache-2.0
- Archived: true
- Created: 2022-07-05T15:28:47.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-10-14T13:43:05.000Z (over 2 years ago)
- Last Synced: 2026-05-24T19:29:11.690Z (29 days ago)
- Language: Python
- Size: 15.6 MB
- Stars: 10
- Watchers: 0
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
Owner metadata:
- Name: Diamond Light Source
- Login: DiamondLightSource
- Email:
- Kind: organization
- Description:
- Website: https://www.diamond.ac.uk
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1233618?v=4
- Repositories: 108
- Last Synced at: 2023-03-23T01:25:29.390Z
- Profile URL: https://github.com/DiamondLightSource
GitHub Events
Total
- Total: 0
Last Year
- Total: 0
Committers metadata
Last synced: 10 days ago
Total Commits: 234
Total Committers: 1
Avg Commits per committer: 234.0
Development Distribution Score (DDS): 0.0
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 | |
|---|---|---|
| Olly King | o****g@d****k | 234 |
Issue and Pull Request metadata
Last synced: 23 days ago
Total issues: 6
Total pull requests: 26
Average time to close issues: about 20 hours
Average time to close pull requests: about 15 hours
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 23
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
- osorensen (6)
Top Pull Request Authors
- OllyK (24)
- markbasham (2)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 205 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 1 (may contain duplicates)
- Total versions: 37
- Total maintainers: 2
pypi.org: volume-segmantics-vsui
A toolkit for semantic segmentation of volumetric data using pyTorch deep learning models
- Homepage: https://github.com/DiamondLightSource/volume-segmantics
- Documentation: https://volume-segmantics-vsui.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.3.6 (published about 3 years ago)
- Last Synced: 2026-06-12T17:00:53.287Z (10 days ago)
- Versions: 26
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 124 Last month
-
Rankings:
- Dependent packages count: 6.633%
- Downloads: 13.259%
- Forks count: 17.273%
- Average: 17.452%
- Stargazers count: 19.483%
- Dependent repos count: 30.611%
- Maintainers (1)
pypi.org: volume-segmantics
A toolkit for semantic segmentation of volumetric data using pyTorch deep learning models
- Homepage: https://github.com/DiamondLightSource/volume-segmantics
- Documentation: https://volume-segmantics.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.3.2 (published about 3 years ago)
- Last Synced: 2026-06-12T17:00:23.679Z (10 days ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 81 Last month
-
Rankings:
- Dependent packages count: 10.105%
- Forks count: 14.25%
- Stargazers count: 17.746%
- Average: 20.077%
- Dependent repos count: 21.593%
- Downloads: 36.692%
- Maintainers (1)
Dependencies
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- actions/upload-artifact v3 composite
- snok/install-poetry v1 composite
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- actions/checkout v3 composite
- actions/checkout v2 composite
- actions/upload-artifact v1 composite
- djn24/add-asset-to-release v1 composite
- vimtor/action-zip v1 composite
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- snok/install-poetry v1 composite
- black >=22.1.0 develop
- pdoc >=10 develop
- pylint >=2.4.0 develop
- pytest >=6 develop
- pytest-cov * develop
- albumentations <=1.1.0
- h5py ^3.0.0
- imagecodecs *
- matplotlib ^3.3.0
- numpy ^1.18.0
- python ^3.7
- segmentation-models-pytorch ^0.2.1
- termplotlib ^0.3.6
- torch >=1.7.1, <1.13.0