JOSS: https://github.com/mendezVKI/SPICY_VKI
Score: 7.860185057472165
Last synced: about 2 hours ago
JSON representation
Repository metadata:
The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)
- Host: GitHub
- URL: https://github.com/mendezVKI/SPICY_VKI
- Owner: mendezVKI
- Created: 2023-01-11T16:36:06.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-11-26T08:43:53.000Z (7 months ago)
- Last Synced: 2026-02-26T20:50:19.142Z (4 months ago)
- Language: Jupyter Notebook
- Size: 620 MB
- Stars: 12
- Watchers: 1
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Owner metadata:
- Name:
- Login: mendezVKI
- Email:
- Kind: user
- Description:
- Website:
- Location:
- Twitter:
- Company: von Karman Institute for Fluid Dynamics
- Icon url: https://avatars.githubusercontent.com/u/52033190?u=d1bb6e87eafed8e4f93c5f49520cd6682d2f2e7c&v=4
- Repositories: 2
- Last Synced at: 2023-05-29T05:24:25.117Z
- Profile URL: https://github.com/mendezVKI
GitHub Events
Total
- Push event: 7
- Watch event: 1
- Total: 8
Last Year
- Push event: 3
- Total: 3
Committers metadata
Last synced: about 1 month ago
Total Commits: 157
Total Committers: 6
Avg Commits per committer: 26.167
Development Distribution Score (DDS): 0.567
Commits in past year: 3
Committers in past year: 2
Avg Commits per committer in past year: 1.5
Development Distribution Score (DDS) in past year: 0.333
| Name | Commits | |
|---|---|---|
| mendezVKI | m****z@v****e | 68 |
| ManuelRatz | m****z@t****e | 67 |
| ManuelRatz | 7****z | 17 |
| Philip Cardiff | p****f@g****m | 3 |
| Theo Käufer | 5****r | 1 |
| Kyle Niemeyer | k****r@f****m | 1 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 5
Total pull requests: 6
Average time to close issues: 20 days
Average time to close pull requests: 17 days
Total issue authors: 1
Total pull request authors: 4
Average comments per issue: 1.8
Average comments per pull request: 0.17
Merged pull request: 5
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
- MatthewFlamm (5)
Top Pull Request Authors
- philipcardiff (4)
- kyleniemeyer (2)
- MatthewFlamm (1)
- TKaeufer (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 34 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 2
pypi.org: spicy-vki
SPICY (Super-resolution and Pressure from Image veloCimetrY) is a software developed at the von Karman Institute to perform data assimilation of image velocimetry using constrained Radial Basis Functions (RBF). The framework works for structured data (as produced by cross-correlation-based algorithms in PIV or Optical Flows) and unstructured data (produced by tracking algorithms in PTV).
- Homepage: https://github.com/mendezVKI/SPICY_VKI/tree/main/
- Documentation: https://spicy-vki.readthedocs.io/
- Licenses: BSD (3-clause)
- Latest release: 1.1.2 (published over 1 year ago)
- Last Synced: 2026-05-15T16:16:17.105Z (about 1 month ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 34 Last month
-
Rankings:
- Dependent packages count: 7.466%
- Forks count: 19.34%
- Stargazers count: 28.053%
- Average: 38.182%
- Downloads: 66.441%
- Dependent repos count: 69.608%
- Maintainers (2)
Dependencies
- ipython *
- matplotlib >=3.3.0
- numpy >=1.20
- numpydoc >=1.6.0
- scikit-learn >=1.0
- scipy >=1.5
- shapely >=1.7.0
- sphinx >=5.0
- sphinx_rtd_theme *
- matplotlib >=3.3.0
- numpy >=1.20
- numpydoc >=1.6.0
- scikit-learn >=1.0
- scipy >=1.5
- shapely >=1.7.0