JOSS: https://github.com/PMEAL/porespy
3d-images image-analysis porespy porous-materials porous-media python scientific-visualization tomography voxel-generator
Score: 18.97540442502272
Last synced: about 18 hours ago
JSON representation
Repository metadata:
A set of tools for characterizing and analyzing 3D images of porous materials
- Host: GitHub
- URL: https://github.com/PMEAL/porespy
- Owner: PMEAL
- License: mit
- Created: 2015-05-06T20:35:41.000Z (about 11 years ago)
- Default Branch: dev
- Last Pushed: 2026-05-09T09:08:52.000Z (about 2 months ago)
- Last Synced: 2026-05-21T16:57:48.814Z (about 1 month ago)
- Topics: 3d-images, image-analysis, porespy, porous-materials, porous-media, python, scientific-visualization, tomography, voxel-generator
- Language: Python
- Homepage: https://porespy.org
- Size: 1.53 GB
- Stars: 405
- Watchers: 22
- Forks: 114
- Open Issues: 22
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Owner metadata:
- Name: PMEAL
- Login: PMEAL
- Email: jgostick@gmail.com
- Kind: organization
- Description: Porous Materials Engineering and Analysis Lab
- Website: pmeal.com
- Location: Waterloo, ON
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/5051421?v=4
- Repositories: 9
- Last Synced at: 2024-03-26T00:05:01.041Z
- Profile URL: https://github.com/PMEAL
GitHub Events
Total
- Create event: 65
- Delete event: 60
- Discussion event: 1
- Fork event: 14
- Issue comment event: 116
- Issues event: 106
- Member event: 1
- Pull request event: 98
- Push event: 533
- Release event: 1
- Watch event: 62
- Total: 1057
Last Year
- Create event: 58
- Delete event: 60
- Discussion event: 1
- Fork event: 10
- Issue comment event: 92
- Issues event: 95
- Member event: 1
- Pull request event: 80
- Push event: 519
- Release event: 1
- Watch event: 47
- Total: 964
Committers metadata
Last synced: 2 months ago
Total Commits: 3,992
Total Committers: 44
Avg Commits per committer: 90.727
Development Distribution Score (DDS): 0.456
Commits in past year: 496
Committers in past year: 10
Avg Commits per committer in past year: 49.6
Development Distribution Score (DDS) in past year: 0.518
| Name | Commits | |
|---|---|---|
| jgostick | j****k@g****m | 2171 |
| Amin Sadeghi | a****i@l****m | 823 |
| Author | a****s@g****m | 208 |
| Zohaib | z****q@y****m | 139 |
| Mike McKague | m****9@g****m | 132 |
| Ni2M | n****h@u****a | 116 |
| Tom Tranter | t****r@u****a | 71 |
| Hamed Fathiannasab | h****n@u****a | 40 |
| madeline_am | m****e@u****a | 37 |
| Matthew Lam | m****m@e****a | 37 |
| rickyfann3265 | r****7@l****a | 32 |
| Vasu Venkateshwaran | v****l@g****m | 27 |
| Tom Tranter | t****r@g****m | 26 |
| mdrkok | m****k@g****m | 17 |
| Rafael Arenhart | r****t@l****r | 13 |
| dependabot[bot] | 4****] | 11 |
| Alex Guo | a****h@g****m | 9 |
| Bryan W. Weber | b****r@g****m | 7 |
| Mehrez Agnaou | m****b@g****m | 7 |
| Pascal Ruzzante | p****e@g****m | 7 |
| Anthero1 | a****v@g****m | 6 |
| Sreeyuth Lal | s****h@g****m | 6 |
| David Haberthür | e****l@d****h | 6 |
| github-actions | 4****] | 5 |
| Rômulo Cenci | r****i@l****r | 5 |
| Hamed Fathiannasab | h****n@g****m | 3 |
| James Butler | j****r@s****m | 3 |
| Jihye Oh | j****h@u****a | 3 |
| ajavadim | a****m@u****a | 3 |
| amirDahari1 | a****i@m****l | 3 |
| and 14 more... | ||
Issue and Pull Request metadata
Last synced: 5 months ago
Total issues: 184
Total pull requests: 225
Average time to close issues: 8 months
Average time to close pull requests: 23 days
Total issue authors: 35
Total pull request authors: 22
Average comments per issue: 0.88
Average comments per pull request: 1.16
Merged pull request: 180
Bot issues: 0
Bot pull requests: 34
Past year issues: 52
Past year pull requests: 103
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 8 days
Past year issue authors: 14
Past year pull request authors: 9
Past year average comments per issue: 0.56
Past year average comments per pull request: 0.69
Past year merged pull request: 78
Past year bot issues: 0
Past year bot pull requests: 26
Top Issue Authors
- jgostick (100)
- ma-sadeghi (36)
- amirDahari1 (5)
- heinsimon (5)
- xiaorong117 (3)
- mkaguer (3)
- morendong (3)
- lucianoguedes8 (2)
- ivonindima (1)
- Kyle-RuidongLI (1)
- Maoxinmaoxin (1)
- xiangWu-WW (1)
- likeduck (1)
- Curf (1)
- shillcoat (1)
Top Pull Request Authors
- jgostick (115)
- ma-sadeghi (33)
- dependabot[bot] (21)
- github-actions[bot] (13)
- habi (9)
- Anthero1 (4)
- mkaguer (4)
- rickyfann (4)
- heinsimon (2)
- emmanuel-ferdman (2)
- cmaloney111 (2)
- amirDahari1 (2)
- takeruhukushima (2)
- PascalRuzzante (2)
- Daniel-olaO (2)
Top Issue Labels
- bug (22)
- enhancement (15)
- api (14)
- discussion (11)
- easy (11)
- maint (9)
- doc (8)
- feature request (5)
- help wanted (5)
- tests (3)
- breaking change (3)
- high priority (3)
- documentation (2)
- performance (2)
- maintenance (1)
- proposal (1)
- question (1)
- new (1)
Top Pull Request Labels
- dependencies (21)
- github_actions (21)
- high priority (13)
- maint (6)
- doc (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 9,257 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 10 (may contain duplicates)
- Total versions: 42
- Total maintainers: 2
pypi.org: porespy
A set of tools for analyzing 3D images of porous materials
- Homepage: https://porespy.org
- Documentation: https://porespy.org
- Licenses: MIT
- Latest release: 3.0.4 (published 4 months ago)
- Last Synced: 2026-03-25T09:25:59.079Z (3 months ago)
- Versions: 33
- Dependent Packages: 0
- Dependent Repositories: 10
- Downloads: 9,257 Last month
-
Rankings:
- Stargazers count: 4.24%
- Dependent repos count: 4.593%
- Forks count: 4.761%
- Average: 5.946%
- Downloads: 6.027%
- Dependent packages count: 10.109%
- Maintainers (2)
conda-forge.org: porespy
PoreSpy is a collection of image analysis tool used to extract information from 3D images of porous materials (typically obtained from X-ray tomography). There are many packages that offer generalized image analysis tools (i.e Skimage and Scipy.NDimage in the Python environment, ImageJ, MatLab's Image Processing Toolbox), but the all require building up complex scripts or macros to accomplish tasks of specific use to porous media. The aim of PoreSpy is to provide a set of pre-written tools for all the common porous media measurements.
- Homepage: https://github.com/PMEAL/porespy/
- Licenses: MIT
- Latest release: 2.2.2 (published over 3 years ago)
- Last Synced: 2026-03-20T21:34:11.965Z (3 months ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 19.686%
- Stargazers count: 24.652%
- Average: 32.385%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
Dependencies
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- deprecated *
- edt *
- imageio *
- loguru *
- matplotlib *
- numba *
- numpy *
- numpy-stl *
- openpnm *
- pandas *
- psutil *
- pyevtk *
- pyfastnoisesimd *
- scikit-fmm *
- scikit-image *
- scipy *
- tqdm *
- trimesh *
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- dask *
- deprecated *
- edt *
- imageio *
- matplotlib *
- numba *
- numpy *
- numpy-stl *
- pandas *
- psutil *
- pyevtk *
- rich *
- scikit-fmm *
- scikit-image *
- scikit-learn *
- scipy *
- tqdm *
- trimesh *
- ipykernel *
- ipython *
- ipywidgets *
- jupyterlab_widgets *
- mock *
- myst-nb *
- pandoc *
- pydata-sphinx-theme =0.9
- sphinx *
- sphinx-copybutton *
- sphinx-design *
- codecov * test
- coverage * test
- jupyter * test
- nbval * test
- pytest * test
- pytest-cache * test
- pytest-cov * test
- pytest-custom-exit-code * test
- pytest-pycodestyle * test
- pytest-split * test
- imageio *
- numpy-stl *
- pyevtk *
- pyfastnoisesimd *
- scikit-fmm *
- scikit-learn *
- tensorflow *
- trimesh *