CBM-CFS3
The Carbon Budget Model of the Canadian Forest Sector is an aspatial, stand- and landscape-level modelling framework used for international reporting of the forest carbon balance of Canada's managed forest.
https://github.com/cat-cfs/libcbm_py
Category: Biosphere
Sub Category: Biomass
Keywords
cbm-cfs3
Last synced: about 1 hour ago
JSON representation
Repository metadata
Carbon budget model library based on CBM-CFS3
- Host: GitHub
- URL: https://github.com/cat-cfs/libcbm_py
- Owner: cat-cfs
- License: mpl-2.0
- Created: 2018-07-03T23:29:59.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2025-06-09T19:51:10.000Z (18 days ago)
- Last Synced: 2025-06-15T13:52:06.179Z (12 days ago)
- Topics: cbm-cfs3
- Language: Python
- Homepage:
- Size: 63 MB
- Stars: 7
- Watchers: 5
- Forks: 4
- Open Issues: 12
- Releases: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
libcbm
Carbon budget model library based on CBM-CFS3
To get started follow the examples README.md for running examples
Owner metadata
- Name: cat-cfs
- Login: cat-cfs
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/35855549?v=4
- Repositories: 8
- Last ynced at: 2023-08-10T14:34:05.286Z
- Profile URL: https://github.com/cat-cfs
GitHub Events
Total
- Issues event: 5
- Delete event: 2
- Issue comment event: 3
- Push event: 14
- Pull request review event: 1
- Pull request event: 9
- Fork event: 2
- Create event: 4
Last Year
- Issues event: 5
- Delete event: 2
- Issue comment event: 3
- Push event: 14
- Pull request review event: 1
- Pull request event: 9
- Fork event: 2
- Create event: 4
Committers metadata
Last synced: 2 days ago
Total Commits: 2,455
Total Committers: 6
Avg Commits per committer: 409.167
Development Distribution Score (DDS): 0.398
Commits in past year: 29
Committers in past year: 3
Avg Commits per committer in past year: 9.667
Development Distribution Score (DDS) in past year: 0.069
| Name | Commits | |
|---|---|---|
| Scott | s****1@g****m | 1479 |
| Scott Morken | s****n@n****a | 950 |
| Lucas Sinclair | 6****e | 19 |
| Gregory Paradis | 0@0****o | 5 |
| frandoodle | 6****e | 1 |
| Max Fellows | m****s@n****a | 1 |
Committer domains:
- nrcan.gc.ca: 2
- 01101.io: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 38
Total pull requests: 37
Average time to close issues: 5 months
Average time to close pull requests: 11 days
Total issue authors: 4
Total pull request authors: 5
Average comments per issue: 1.13
Average comments per pull request: 0.16
Merged pull request: 36
Bot issues: 0
Bot pull requests: 0
Past year issues: 4
Past year pull requests: 6
Past year average time to close issues: 21 days
Past year average time to close pull requests: 20 minutes
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 0.75
Past year average comments per pull request: 0.0
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- smorken (31)
- paulrougieux (4)
- pierre-cantegril (2)
- gparadis (1)
Top Pull Request Authors
- smorken (32)
- xapple (2)
- gparadis (1)
- cboisvenue (1)
- frandoodle (1)
Top Issue Labels
- enhancement (6)
- bug (3)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 1,084 last-month
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 16
- Total maintainers: 1
pypi.org: libcbm
Carbon budget model library based on CBM-CFS3
- Homepage: https://github.com/cat-cfs/libcbm_py
- Documentation: https://libcbm.readthedocs.io/
- Licenses: MPL-2.0
- Latest release: 2.8.1 (published 18 days ago)
- Last Synced: 2025-06-26T19:04:57.106Z (1 day ago)
- Versions: 16
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 1,084 Last month
-
Rankings:
- Dependent packages count: 6.633%
- Forks count: 17.273%
- Stargazers count: 21.761%
- Average: 22.88%
- Dependent repos count: 30.611%
- Downloads: 38.12%
- Maintainers (1)
Dependencies
- mock *
- numba *
- numexpr *
- numpy *
- openpyxl *
- pandas >=1.1.5
- pyyaml *
- scipy *
Score: 11.726454948888376