flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows - Published in JOSS (2021)
https://github.com/AndreWeiner/flowtorch
Keywords
cnm csv davis dmd dynamic-mode-decomposition hdf5 ipsp jupyter machine-learning netcdf openfoam pod proper-orthogonal-decomposition pytorch tau
Last synced: 2 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
- Host: GitHub
- URL: https://github.com/AndreWeiner/flowtorch
- Owner: AndreWeiner
- License: gpl-3.0
- Created: 2020-06-24T12:43:55.000Z (over 5 years ago)
- Default Branch: aweiner
- Last Pushed: 2025-10-08T06:34:20.000Z (3 months ago)
- Last Synced: 2025-10-17T21:35:39.591Z (2 months ago)
- Topics: cnm, csv, davis, dmd, dynamic-mode-decomposition, hdf5, ipsp, jupyter, machine-learning, netcdf, openfoam, pod, proper-orthogonal-decomposition, pytorch, tau
- Language: Python
- Homepage:
- Size: 20.6 MB
- Stars: 158
- Watchers: 6
- Forks: 50
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Owner metadata
- Name: Andre Weiner
- Login: AndreWeiner
- Email:
- Kind: user
- Description: computational fluid dynamics, machine learning, and data science enthusiast
- Website: https://www.ml-cfd.com
- Location: Dresden
- Twitter:
- Company: Technical University of Dresden
- Icon url: https://avatars.githubusercontent.com/u/8482575?u=798b17a39ab423c351579d32ba67095e353860e3&v=4
- Repositories: 48
- Last ynced at: 2024-05-21T06:16:45.816Z
- Profile URL: https://github.com/AndreWeiner
GitHub Events
Total
- Issues event: 3
- Watch event: 3
- Issue comment event: 3
- Push event: 6
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 4
Last Year
- Issues event: 3
- Watch event: 3
- Issue comment event: 3
- Push event: 6
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 4
Committers metadata
Last synced: 2 months ago
Total Commits: 289
Total Committers: 7
Avg Commits per committer: 41.286
Development Distribution Score (DDS): 0.19
Commits in past year: 39
Committers in past year: 5
Avg Commits per committer in past year: 7.8
Development Distribution Score (DDS) in past year: 0.564
| Name | Commits | |
|---|---|---|
| Andre Weiner | a****r@y****e | 234 |
| Janis Geise | j****e@t****e | 19 |
| Sebastian Spinner | s****r@d****e | 11 |
| Jannis Anderson | y****5@t****e | 10 |
| Dr. Richard Semaan | 5****n | 8 |
| Mehdimak | m****i@t****e | 6 |
| Sebastian Spinner | 6****0 | 1 |
Committer domains:
- tu-braunschweig.de: 2
- dlr.de: 1
- tu-dresden.de: 1
- yahoo.de: 1
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 44
Total pull requests: 9
Average time to close issues: about 2 months
Average time to close pull requests: 3 days
Total issue authors: 11
Total pull request authors: 3
Average comments per issue: 2.07
Average comments per pull request: 0.44
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0
Past year issues: 3
Past year pull requests: 6
Past year average time to close issues: 2 days
Past year average time to close pull requests: 5 days
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 1.33
Past year average comments per pull request: 0.67
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- AndreWeiner (22)
- akaptano (6)
- JOEJOEJOE1231231231231 (5)
- jacktang (3)
- Apollonaut10 (2)
- smallduan (1)
- yujiangsenior (1)
- JanisGeise (1)
- Potemkinkuliss (1)
- jiaqiwang969 (1)
- kowshiksri (1)
Top Pull Request Authors
- Apollonaut10 (7)
- JannisAnderson (1)
- JanisGeise (1)
Top Issue Labels
- enhancement (11)
- bug (3)
- documentation (3)
- question (1)
- good first issue (1)
Top Pull Request Labels
Dependencies
- h5py *
- jupyterlab *
- matplotlib *
- netCDF4 *
- numpy *
- numpy-stl *
- pandas *
- plotly *
- scikit-learn *
- torch >=1.9
- vtk *
- h5py *
- jupyterlab *
- matplotlib *
- netCDF4 *
- numpy *
- numpy-stl *
- pandas *
- plotly *
- scikit-learn *
- torch *
- vtk *
Score: 7.02108396428914