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canopy-shade

v0.0.3

Python package to calculate the shading effect of tree canopies from panoramic imagery For more information about how to use this package see README

Latest version published 3 months ago

License: MIT license

PyPI

Package Health Score

51 / 100

security
Security review needed
popularity
Limited
maintenance
Sustainable
community
Limited

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Popularity

Limited

GitHub Stars: ?
Forks: ?
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package canopy-shade, we found that it has been starred ? times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 9, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
5
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT license

Security Policy

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Maintenance

Sustainable

Commit Frequency

Unavailable commit data

Open Issues: ?
Open PR: ?
Last Release: 3 months ago
Last Commit: unknown

Further analysis of the maintenance status of canopy-shade based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that canopy-shade demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 3 months
Latest Release: 3 months ago
Dependencies: 17 Direct / 57 Total
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

Canopy Shade

Python package to calculate the shading effect of tree canopies from panoramic imagery

Free software: MIT license
Documentation: .

Features

TODO

Citation

Please cite the paper if you use Canopy Shade Mapper in a scientific publication:

Fujiwara, K., Khomiakov, M., Yap, W., Ignatius, M., &amp; Biljecki, F. (2024). Microclimate Vision: Multimodal prediction of climatic parameters using street-level and satellite imagery. Sustainable Cities and Society, 105733. doi:10.1016/j.scs.2024.105733

@article{XXX,
  title={XXX},
  author={XXX, XXX, XXX, XXX, ...},
  journal={XXX},
  volume={XXX},
  pages={XXX},
  year={2024}
}

@article{ito2024zensvi,
  title={ZenSVI: One-Stop Python Package for Integrated Analysis of Street View Imagery},
  author={Ito, Koichi, XXX, XXX, XXX, ...},
  journal={XXX},
  volume={XXX},
  pages={XXX},
  year={2024}
}

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

canopy-shade dependencies

branca contextily folium geopandas h3 matplotlib numpy opencv-python pandas pillow pvlib pytz scikit-learn scipy seaborn shapely typer

FAQs

What is canopy-shade?

Python package to calculate the shading effect of tree canopies from panoramic imagery. Visit Snyk Advisor to see a full health score report for canopy-shade, including popularity, security, maintenance & community analysis.

Is canopy-shade popular?

We’re still processing downloads data for the python package canopy-shade. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is canopy-shade safe to use?

While scanning the latest version of canopy-shade, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 22 November-2024, at 10:14 (UTC).

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