PyForestScan
A python package for calculating forest structural metrics from airborne point clouds.
https://github.com/iosefa/pyforestscan
Category: Biosphere
Sub Category: Forest Remote Sensing
Keywords
ecology forest-structure lidar point-cloud
Last synced: about 11 hours ago
JSON representation
Repository metadata
A python package for calculating forest structural metrics from airborne point clouds.
- Host: GitHub
- URL: https://github.com/iosefa/pyforestscan
- Owner: iosefa
- License: mit
- Created: 2023-07-22T06:59:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-12-02T01:46:25.000Z (24 days ago)
- Last Synced: 2025-12-09T06:12:48.097Z (16 days ago)
- Topics: ecology, forest-structure, lidar, point-cloud
- Language: Python
- Homepage: https://pyforestscan.sefa.ai/
- Size: 261 MB
- Stars: 70
- Watchers: 3
- Forks: 8
- Open Issues: 3
- Releases: 17
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.md
- License: LICENSE
- Code of conduct: docs/code_of_conduct.md
Owner metadata
- Name: Iosefa Percival
- Login: iosefa
- Email:
- Kind: user
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/24607032?u=b57378fbb02af16eef9dd6bd38ba334bffede2ac&v=4
- Repositories: 1
- Last ynced at: 2023-04-19T10:21:21.985Z
- Profile URL: https://github.com/iosefa
GitHub Events
Total
- Create event: 20
- Release event: 10
- Issues event: 21
- Watch event: 49
- Delete event: 14
- Member event: 1
- Issue comment event: 31
- Push event: 78
- Pull request review event: 7
- Pull request event: 22
- Fork event: 6
Last Year
- Create event: 11
- Release event: 4
- Issues event: 13
- Watch event: 47
- Delete event: 6
- Member event: 1
- Issue comment event: 17
- Push event: 36
- Pull request review event: 7
- Pull request event: 13
- Fork event: 6
Committers metadata
Last synced: about 19 hours ago
Total Commits: 124
Total Committers: 3
Avg Commits per committer: 41.333
Development Distribution Score (DDS): 0.073
Commits in past year: 52
Committers in past year: 2
Avg Commits per committer in past year: 26.0
Development Distribution Score (DDS) in past year: 0.038
| Name | Commits | |
|---|---|---|
| iosefa | i****l@g****m | 115 |
| benleamon | b****n@g****m | 7 |
| maawoo | m****a@u****e | 2 |
Committer domains:
- uni-jena.de: 1
Issue and Pull Request metadata
Last synced: 23 days ago
Total issues: 15
Total pull requests: 51
Average time to close issues: 19 days
Average time to close pull requests: 4 days
Total issue authors: 8
Total pull request authors: 2
Average comments per issue: 0.87
Average comments per pull request: 0.49
Merged pull request: 48
Bot issues: 0
Bot pull requests: 0
Past year issues: 9
Past year pull requests: 33
Past year average time to close issues: 10 days
Past year average time to close pull requests: 5 days
Past year issue authors: 6
Past year pull request authors: 2
Past year average comments per issue: 1.44
Past year average comments per pull request: 0.73
Past year merged pull request: 30
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- iosefa (5)
- giswqs (2)
- npucino (2)
- mengqi-z (2)
- Cyclince (1)
- MarkusZehner (1)
- Ciaran1981 (1)
- maawoo (1)
Top Pull Request Authors
- iosefa (47)
- maawoo (4)
Top Issue Labels
- bug (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 282 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 23
- Total maintainers: 1
pypi.org: pyforestscan
Analyzing forest structure using aerial LiDAR data
- Homepage: https://github.com/iosefa/PyForestScan
- Documentation: https://pyforestscan.readthedocs.io/
- Licenses: MIT License
- Latest release: 0.3.8 (published 24 days ago)
- Last Synced: 2025-12-22T04:20:25.221Z (4 days ago)
- Versions: 23
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 282 Last month
-
Rankings:
- Dependent packages count: 7.382%
- Forks count: 29.997%
- Average: 36.3%
- Stargazers count: 38.912%
- Dependent repos count: 68.91%
- Maintainers (1)
Dependencies
- sphinx *
- sphinx_rtd_theme *
- geopandas *
- matplotlib *
- mayavi *
- numpy *
- pandas *
- pdal *
- pyproj *
- rasterio *
- scipy *
- setuptools *
- shapely *
- geopandas *
- matplotlib *
- mayavi *
- numpy *
- pandas *
- pdal *
- pyproj *
- rasterio *
- setuptools *
- shapely *
Score: 11.034518627459738