JOSS: https://github.com/oekosheri/GB_code
crystallography grain-boundaries high-throughput-computing linear-algebra python
Score: 13.570192969783529
Last synced: about 6 hours ago
JSON representation
Repository metadata:
A grain boundary generation code
- Host: GitHub
- URL: https://github.com/oekosheri/GB_code
- Owner: oekosheri
- License: mit
- Created: 2018-07-12T13:40:25.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2023-09-12T16:05:51.000Z (almost 3 years ago)
- Last Synced: 2026-05-30T13:03:25.435Z (24 days ago)
- Topics: crystallography, grain-boundaries, high-throughput-computing, linear-algebra, python
- Language: Python
- Homepage:
- Size: 5.27 MB
- Stars: 87
- Watchers: 4
- Forks: 43
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name:
- Login: oekosheri
- Email:
- Kind: user
- Description: Materials modelling and machine learning scientist
- Website:
- Location:
- Twitter:
- Company: rwth aachen university
- Icon url: https://avatars.githubusercontent.com/u/36474640?u=c9ecc6898eb43230276a5a5f21630f381a615fa6&v=4
- Repositories: 2
- Last Synced at: 2023-03-05T18:18:40.700Z
- Profile URL: https://github.com/oekosheri
GitHub Events
Total
- Fork event: 6
- Watch event: 22
- Total: 28
Last Year
- Fork event: 1
- Watch event: 9
- Total: 10
Committers metadata
Last synced: 21 days ago
Total Commits: 198
Total Committers: 2
Avg Commits per committer: 99.0
Development Distribution Score (DDS): 0.01
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 | |
|---|---|---|
| oekosheri | s****n@g****m | 196 |
| Arfon Smith | a****n | 2 |
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 10
Total pull requests: 7
Average time to close issues: 12 days
Average time to close pull requests: 4 months
Total issue authors: 5
Total pull request authors: 6
Average comments per issue: 0.6
Average comments per pull request: 0.43
Merged pull request: 2
Bot issues: 0
Bot pull requests: 1
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
- trallard (5)
- SUN123RAY (2)
- TongaoY (1)
- ghost (1)
- jinlhr542 (1)
Top Pull Request Authors
- arfon (2)
- jan-janssen (1)
- nnn911 (1)
- dependabot[bot] (1)
- hammondkd (1)
- liamhuber (1)
Top Issue Labels
Top Pull Request Labels
- dependencies (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 53 last-month
- conda: 4,107 total
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 1 (may contain duplicates)
- Total versions: 2
- Total maintainers: 1
pypi.org: gb-code
A GB generation code
- Homepage: https://github.com/oekosheri/GB_code
- Documentation: https://gb-code.readthedocs.io/
- Licenses: LICENSE
- Latest release: 1.0.0 (published over 5 years ago)
- Last Synced: 2026-05-30T13:14:09.769Z (24 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 53 Last month
-
Rankings:
- Forks count: 7.22%
- Stargazers count: 9.526%
- Dependent packages count: 10.082%
- Average: 18.385%
- Dependent repos count: 21.62%
- Downloads: 43.479%
- Maintainers (1)
conda-forge.org: gb-code
This python package helps you create orthogonal grain boundary supercells for atomistic calculations. The code is based on the coincident site lattice (CSL) formulations for cubic materials (sc, bcc, fcc, diamond).
- Homepage: https://github.com/oekosheri/GB_code
- Licenses: MIT
- Latest release: 1.0.0 (published over 5 years ago)
- Last Synced: 2026-03-22T09:20:33.341Z (3 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 4,107 Total
-
Rankings:
- Forks count: 31.465%
- Dependent repos count: 34.025%
- Average: 39.527%
- Stargazers count: 41.442%
- Dependent packages count: 51.175%
Dependencies
- matplotlib ==2.2.2
- numpy ==1.14.3
- pandas ==0.23.0