JOSS: https://github.com/ornlneutronimaging/braggedgemodeling
bragg-edge neutron
Score: 13.841256274382689
Last synced: about 20 hours ago
JSON representation
Repository metadata:
Model and analyze neutron Bragg-edge imaging spectra
- Host: GitHub
- URL: https://github.com/ornlneutronimaging/braggedgemodeling
- Owner: ornlneutronimaging
- License: mit
- Created: 2018-02-15T17:49:11.000Z (over 8 years ago)
- Default Branch: main
- Last Pushed: 2026-08-03T14:07:19.000Z (11 days ago)
- Last Synced: 2026-08-04T22:04:13.877Z (10 days ago)
- Topics: bragg-edge, neutron
- Language: Jupyter Notebook
- Homepage: https://braggedge.readthedocs.io/en/latest/
- Size: 9.77 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: ornlneutronimaging
- Login: ornlneutronimaging
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/15786098?v=4
- Repositories: 62
- Last Synced at: 2024-03-26T10:17:06.813Z
- Profile URL: https://github.com/ornlneutronimaging
GitHub Events
Total
- Create event: 4
- Delete event: 5
- Push event: 3
- Total: 12
Last Year
- Create event: 4
- Delete event: 5
- Push event: 3
- Total: 12
Committers metadata
Last synced: 4 days ago
Total Commits: 204
Total Committers: 5
Avg Commits per committer: 40.8
Development Distribution Score (DDS): 0.181
Commits in past year: 22
Committers in past year: 2
Avg Commits per committer in past year: 11.0
Development Distribution Score (DDS) in past year: 0.182
| Name | Commits | |
|---|---|---|
| Jiao Lin | l****o@o****v | 167 |
| Chen Zhang | c****2@g****m | 18 |
| JeanBilheux | b****m@o****v | 12 |
| dependabot[bot] | 4****] | 4 |
| Song, Gian | s****g@o****v | 3 |
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 32
Total pull requests: 27
Average time to close issues: about 1 month
Average time to close pull requests: about 10 hours
Total issue authors: 4
Total pull request authors: 3
Average comments per issue: 0.75
Average comments per pull request: 0.96
Merged pull request: 25
Bot issues: 0
Bot pull requests: 6
Past year issues: 1
Past year pull requests: 20
Past year average time to close issues: N/A
Past year average time to close pull requests: about 12 hours
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 1.05
Past year merged pull request: 18
Past year bot issues: 0
Past year bot pull requests: 6
Top Issue Authors
- yxqd (25)
- mikapfl (4)
- stuartcampbell (2)
- KedoKudo (1)
Top Pull Request Authors
- KedoKudo (14)
- yxqd (7)
- dependabot[bot] (6)
Top Issue Labels
- enhancement (1)
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- conda: 18,297 total
- pypi: 358 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 0 (may contain duplicates)
- Total versions: 6
- Total maintainers: 1
pypi.org: braggedgemodeling
Bragg Edge modeling
- Homepage:
- Documentation: https://braggedgemodeling.readthedocs.io/
- Licenses: BSD
- Latest release: 0.2.0 (published about 1 month ago)
- Last Synced: 2026-08-13T03:08:59.446Z (2 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 358 Last month
-
Rankings:
- Dependent packages count: 6.862%
- Average: 22.844%
- Dependent repos count: 38.825%
- Maintainers (1)
conda-forge.org: braggedgemodeling
braggedgemodeling is a Python package providing data analysis tools for neutron Bragg Edge spectra. Given material lattice structure, it can compute Bragg Edge transmission spectrum as a function of neutron wavelength.
- Homepage: https://github.com/ornlneutronimaging/braggedgemodeling
- Licenses: MIT
- Latest release: 0.1.3 (published over 4 years ago)
- Last Synced: 2026-03-22T09:20:39.468Z (5 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 18,297 Total
-
Rankings:
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
- Average: 51.595%
- Stargazers count: 60.125%
- Forks count: 61.053%
Dependencies
- diffpy.structure *
- matplotlib *
- numpy *
- pandas *
- periodictable *
- pyyaml *
- scipy *