Skip to main content

Green Urban Scenarios - A digital twin representation, simulation of urban forests and their impact analysis.

Project description

License Versions

gus

GUS-IMAGE

Green Urban 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygus-1.0.tar.gz (640.9 kB view details)

Uploaded Source

Built Distribution

pygus-1.0-py3-none-any.whl (647.3 kB view details)

Uploaded Python 3

File details

Details for the file pygus-1.0.tar.gz.

File metadata

  • Download URL: pygus-1.0.tar.gz
  • Upload date:
  • Size: 640.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.8.0 Darwin/22.4.0

File hashes

Hashes for pygus-1.0.tar.gz
Algorithm Hash digest
SHA256 89c2a17e9a48110f5ca6e768776f106d06a00fe42affcc0bd0e5369c12758aae
MD5 b861c0b00212cf42cc01c32631a6b9d2
BLAKE2b-256 32e47b197ebe659103cab84d30fbd34884e2b8376e66c133b5f6317e23a237d5

See more details on using hashes here.

File details

Details for the file pygus-1.0-py3-none-any.whl.

File metadata

  • Download URL: pygus-1.0-py3-none-any.whl
  • Upload date:
  • Size: 647.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.8.0 Darwin/22.4.0

File hashes

Hashes for pygus-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4c373a3208bfe1cb04fea70e4d284b708a53a71f5b59f3cdbbb8aa9b22b5e176
MD5 71523e0705df1b51f4ba91a9431cf906
BLAKE2b-256 86e91f21018040d252972bd72c46029b35c49dafe341baf5fcb0f9a59d1cf7d7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page