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 5 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 (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2026-05-19T09:00:07.000Z (22 days ago)
- Last Synced: 2026-06-01T10:03:46.369Z (9 days ago)
- Topics: ecology, forest-structure, lidar, point-cloud
- Language: Python
- Homepage: https://pyforestscan.sefa.ai/
- Size: 260 MB
- Stars: 83
- Watchers: 4
- Forks: 8
- Open Issues: 4
- Releases: 18
-
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
- Release event: 10
- Delete event: 14
- Member event: 1
- Pull request event: 22
- Fork event: 6
- Issues event: 21
- Watch event: 53
- Issue comment event: 32
- Push event: 79
- Pull request review event: 7
- Create event: 22
Last Year
- Release event: 2
- Delete event: 5
- Member event: 1
- Pull request event: 8
- Fork event: 2
- Issues event: 3
- Watch event: 13
- Issue comment event: 11
- Push event: 20
- Pull request review event: 7
- Create event: 9
Committers metadata
Last synced: 3 days ago
Total Commits: 126
Total Committers: 3
Avg Commits per committer: 42.0
Development Distribution Score (DDS): 0.071
Commits in past year: 42
Committers in past year: 2
Avg Commits per committer in past year: 21.0
Development Distribution Score (DDS) in past year: 0.048
| Name | Commits | |
|---|---|---|
| iosefa | i****l@g****m | 117 |
| 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: 3 days ago
Total issues: 16
Total pull requests: 52
Average time to close issues: 19 days
Average time to close pull requests: 4 days
Total issue authors: 9
Total pull request authors: 2
Average comments per issue: 0.81
Average comments per pull request: 0.5
Merged pull request: 48
Bot issues: 0
Bot pull requests: 0
Past year issues: 4
Past year pull requests: 20
Past year average time to close issues: N/A
Past year average time to close pull requests: 7 days
Past year issue authors: 4
Past year pull request authors: 2
Past year average comments per issue: 0.75
Past year average comments per pull request: 0.95
Past year merged pull request: 18
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)
- val-bontemps (1)
- Ciaran1981 (1)
- maawoo (1)
Top Pull Request Authors
- iosefa (48)
- maawoo (4)
Top Issue Labels
- bug (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 446 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 6 months ago)
- Last Synced: 2026-06-07T13:21:55.583Z (3 days ago)
- Versions: 23
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 446 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: 11.667079001936262