Skip to main content

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

Project description

License Versions

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.

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-2.2.0.tar.gz (776.5 kB view details)

Uploaded Source

Built Distribution

pygus-2.2.0-py3-none-any.whl (787.8 kB view details)

Uploaded Python 3

File details

Details for the file pygus-2.2.0.tar.gz.

File metadata

  • Download URL: pygus-2.2.0.tar.gz
  • Upload date:
  • Size: 776.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.13 Darwin/23.2.0

File hashes

Hashes for pygus-2.2.0.tar.gz
Algorithm Hash digest
SHA256 4c4e0112485210741c3d01eeed8c54f3e848bf76a2e94f7ad4e40f061b964257
MD5 b2aa9e221b4d38142f1701f9e8f920ba
BLAKE2b-256 27203d1cc3f4b9b051c545af802adc9854f2ef9ae2403380be6faa542dc0b631

See more details on using hashes here.

File details

Details for the file pygus-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: pygus-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 787.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.13 Darwin/23.2.0

File hashes

Hashes for pygus-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 151805eb7d4d2c2d61fdcea976010a8b06795695ac8230d206da10c69a1e085d
MD5 fdbdd1e45891b4c82a1a7a71f48212cd
BLAKE2b-256 a2f28a3527dbc09a6cc826fed90329729aa1c5dffbb0d6f0e1c994ffb351b007

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