gus
Green Unified Scenarios - A digital twin representation, simulation of urban forests and their impact analysis.
Getting Started
Visit the GUS website documentation for help with installing GUS, code documentation, and a basic tutorial to get you started.
Install from PyPi
We publish GUS as pyGus package in PyPi. Dependencies can be found in the .toml file on the GUS GitHub page. Even though installation with Poetry is possible, the most stable installation can be done via pip.
$ pip install pygus
For further instructions and code documentation, visit GUS Code Documentation
Who maintains GUS?
The GUS is currently developed and maintained by Lucidminds and Dark Matter Labs members as part of their joint project TreesAI.
Notes
- The GUS is open for PRs.
- PRs will be reviewed by the current maintainers of the project.
- Extensive development guidelines will be provided soon.
- To report bugs, fixes, and questions, please use the GitHub issues.
2 maintainers
Metadata
2 maintainers
Release files for pyGUS 2.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pygus-2.2.1.tar.gz | 776.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pygus-2.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / pygus-2.2.1.tar.gz
| Download URL | pygus-2.2.1.tar.gz |
|---|---|
| Size | 776.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.10.13 Darwin/23.2.0
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Release files / pygus-2.2.1-py3-none-any.whl
| Download URL | pygus-2.2.1-py3-none-any.whl |
|---|---|
| Size | 787.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.10.13 Darwin/23.2.0
|
Security for pyGUS 2.2.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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