JOSS: https://github.com/nasa/prog_models
modeling prognostic-models prognostics prognostics-health-management simulation
Score: 15.823166582349234
Last synced: about 14 hours ago
JSON representation
Repository metadata:
The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
- Host: GitHub
- URL: https://github.com/nasa/prog_models
- Owner: nasa
- Created: 2021-03-09T17:59:36.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-10-25T22:20:28.000Z (over 2 years ago)
- Last Synced: 2026-06-15T18:03:34.804Z (7 days ago)
- Topics: modeling, prognostic-models, prognostics, prognostics-health-management, simulation
- Homepage:
- Size: 12.1 MB
- Stars: 126
- Watchers: 5
- Forks: 53
- Open Issues: 75
-
Metadata Files:
- Readme: README.md
Owner metadata:
- Name: NASA
- Login: nasa
- Email: nasa-data@lists.arc.nasa.gov
- Kind: organization
- Description: ReadOpen Data initiative here: https://www.nasa.gov/open/ & Instructions here: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
- Website: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
- Location: United States of America
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/848102?v=4
- Repositories: 565
- Last Synced at: 2025-09-25T14:02:59.385Z
- Profile URL: https://github.com/nasa
GitHub Events
Total
- Fork event: 2
- Watch event: 4
- Total: 6
Last Year
- Watch event: 1
- Total: 1
Committers metadata
Last synced: 3 days ago
Total Commits: 1,981
Total Committers: 18
Avg Commits per committer: 110.056
Development Distribution Score (DDS): 0.451
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 | |
|---|---|---|
| Christopher Teubert | c****t@n****v | 1088 |
| Lawrence Hwang | l****6@g****m | 276 |
| Aditya Tummala | a****a@g****m | 253 |
| Katy | k****s@u****u | 142 |
| Miryam S | m****1@g****m | 91 |
| Wade Lamberson | w****5@g****m | 54 |
| Henry Lembo | l****y@g****m | 29 |
| matteocorbetta | i****a@g****m | 25 |
| Matteo Corbetta | m****a@n****v | 6 |
| Rishabh | 5****7 | 4 |
| Arjun Sharda | 7****7 | 3 |
| Arjun Sharda | 7****a | 2 |
| Elizabeth Hale | h****8@g****m | 2 |
| Matteo Corbetta | m****1@m****v | 2 |
| Michael Snyder | m****r@n****m | 1 |
| Sayyed Mohsen Vazirizade | s****e@g****m | 1 |
| William Bradford Clark | w****k@r****m | 1 |
| darrahts | t****h@v****u | 1 |
Issue and Pull Request metadata
Last synced: 9 days ago
Total issues: 108
Total pull requests: 87
Average time to close issues: 9 months
Average time to close pull requests: 11 days
Total issue authors: 7
Total pull request authors: 8
Average comments per issue: 0.27
Average comments per pull request: 6.38
Merged pull request: 65
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
- teubert (97)
- kjjarvis (3)
- wlamberson1 (3)
- aqitya (2)
- nkrusch (1)
- tbsexton (1)
- lawrence-hwang (1)
Top Pull Request Authors
- teubert (40)
- mstraut (14)
- aqitya (11)
- kjjarvis (8)
- lizjhale (3)
- hlembo (1)
- kyleniemeyer (1)
- lawrence-hwang (1)
Top Issue Labels
- enhancement (54)
- CI/CD (16)
- component: models: data-driven (8)
- component: simulation (8)
- bug (7)
- component: models (6)
- documentation (5)
- component: surrogate (4)
- Priority: High (4)
- duplicate (1)
Top Pull Request Labels
- enhancement (12)
- component: models (8)
- component: models: data-driven (4)
- bug (4)
- component: simulation (3)
- CI/CD (2)
- documentation (2)
- component: surrogate (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 2,054 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 28
- Total maintainers: 2
pypi.org: prog-models
The NASA Prognostic Model Package is a python modeling framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
- Homepage: https://nasa.github.io/progpy/prog_models_guide.html
- Documentation: https://prog-models.readthedocs.io/
- Licenses: NOSA
- Latest release: 1.5.2 (published almost 3 years ago)
- Last Synced: 2026-06-19T20:00:39.921Z (3 days ago)
- Versions: 28
- Dependent Packages: 1
- Dependent Repositories: 1
- Downloads: 2,054 Last month
-
Rankings:
- Dependent packages count: 4.733%
- Forks count: 5.655%
- Stargazers count: 6.498%
- Average: 13.077%
- Dependent repos count: 21.662%
- Downloads: 26.838%
- Maintainers (2)