JOSS: https://github.com/PMEAL/porespy
3d-images image-analysis porespy porous-materials porous-media python scientific-visualization tomography voxel-generator
Score: 19.112073085682916
Last synced: about 11 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 (over 11 years ago)
- Default Branch: dev
- Last Pushed: 2026-06-27T03:27:34.000Z (about 2 months ago)
- Last Synced: 2026-08-07T07:24:22.856Z (6 days 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: 416
- Watchers: 22
- Forks: 116
- Open Issues: 19
-
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: 77
- Delete event: 75
- Discussion event: 1
- Fork event: 15
- Issue comment event: 120
- Issues event: 108
- Member event: 1
- Pull request event: 106
- Push event: 581
- Release event: 1
- Watch event: 66
- Total: 1151
Last Year
- Create event: 24
- Delete event: 34
- Discussion event: 1
- Fork event: 5
- Issue comment event: 11
- Issues event: 4
- Pull request event: 23
- Push event: 330
- Release event: 1
- Watch event: 19
- Total: 452
Committers metadata
Last synced: 1 day ago
Total Commits: 4,053
Total Committers: 44
Avg Commits per committer: 92.114
Development Distribution Score (DDS): 0.46
Commits in past year: 260
Committers in past year: 8
Avg Commits per committer in past year: 32.5
Development Distribution Score (DDS) in past year: 0.612
| Name | Commits | |
|---|---|---|
| jgostick | j****k@g****m | 2188 |
| Amin Sadeghi | a****i@l****m | 845 |
| Author | a****s@g****m | 230 |
| 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: 1 day ago
Total issues: 186
Total pull requests: 253
Average time to close issues: 9 months
Average time to close pull requests: 26 days
Total issue authors: 36
Total pull request authors: 22
Average comments per issue: 0.89
Average comments per pull request: 1.19
Merged pull request: 204
Bot issues: 0
Bot pull requests: 34
Past year issues: 7
Past year pull requests: 47
Past year average time to close issues: 3 months
Past year average time to close pull requests: 7 days
Past year issue authors: 5
Past year pull request authors: 6
Past year average comments per issue: 1.14
Past year average comments per pull request: 0.98
Past year merged pull request: 33
Past year bot issues: 0
Past year bot pull requests: 11
Top Issue Authors
- jgostick (101)
- ma-sadeghi (36)
- amirDahari1 (5)
- heinsimon (5)
- mkaguer (3)
- xiaorong117 (3)
- morendong (3)
- lucianoguedes8 (2)
- Maoxinmaoxin (1)
- xiangWu-WW (1)
- Kyle-RuidongLI (1)
- ivonindima (1)
- likeduck (1)
- shillcoat (1)
- vit-smilauer (1)
Top Pull Request Authors
- jgostick (125)
- ma-sadeghi (51)
- 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 (23)
- enhancement (17)
- api (14)
- discussion (11)
- easy (11)
- maint (9)
- doc (8)
- help wanted (5)
- feature request (5)
- tests (3)
- high priority (3)
- breaking change (3)
- performance (2)
- documentation (2)
- new (1)
- proposal (1)
- question (1)
- maintenance (1)
Top Pull Request Labels
- github_actions (21)
- dependencies (21)
- high priority (13)
- maint (6)
- doc (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 10,419 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 10 (may contain duplicates)
- Total versions: 43
- 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: 3.1.0 (published 2 days ago)
- Last Synced: 2026-08-12T04:06:37.881Z (1 day ago)
- Versions: 34
- Dependent Packages: 0
- Dependent Repositories: 10
- Downloads: 10,419 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 (5 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%
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