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gus

GUS-IMAGE

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.

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)

Source distribution for pyGUS 2.2.1
File Size Uploaded
pygus-2.2.1.tar.gz 776.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyGUS 2.2.1
File Interpreter ABI Platform
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
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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
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Uploaded via poetry/1.7.1 CPython/3.10.13 Darwin/23.2.0

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