Skip to main content

GreenLight

A Python platform for creating, modifying, and combining dynamic models, with a focus on horticultural greenhouses and crops.

Quick start

pip install greenlight
python -m greenlight.main

or:

pip install greenlight
import greenlight
mdl = greenlight.GreenLight()
mdl.run()

Documentation

See Read the Docs.

Announcements

Change in default branch name

As of version 2.0.2, the default branch name has changed from master to main. If you have a local clone, you can update it by running the following commands:

git branch -m master main
git fetch origin
git branch -u origin/main main
git remote set-head origin -a

Previous versions

Versions 1.x of this repository are programmed in MATLAB, and their development is discontinued. Looking for the last MATLAB version of GreenLight? You can find it here.

Active discussions on Discord

Users are welcome to join the GreenLight Discord server to post their questions, wishes, ideas - and hopefully help each other.

License

This project is licensed under the BSD 3-Clause-Clear License. See the LICENSE file for details.

Repository structure

  • docs contains detailed documentation on how to work with the repository
  • greenlight holds the Python module containing the platform implementations
  • greenlight/models contains files that define models implemented on the platform
  • notebooks contain example notebooks that use the python module in this package
  • scripts contains Python scripts and examples that use this package

Contributors

  • David Katzin, Wageningen University & Research, david.katzin@wur.nl
  • Pierre-Olivier Schwarz, Université Laval
  • Joshi Graf, Wageningen University & Research
  • Cristina Zepeda, Wageningen University & Research
  • Stef Maree, Wageningen University & Research
  • User shanakaprageeth on github.com

Acknowledgements

Thank you to Ian McCracken for providing the PyPI GreenLight namespace

This package was created with Cookiecutter and the WUR Greenhouse Technology cookiecutter project template.

Metadata

Release files for GreenLight 2.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for GreenLight 2.0.7
File Size Uploaded Provenance Actions
greenlight-2.0.7.tar.gz 1.2 MB Without provenance Details for greenlight-2.0.7.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for GreenLight 2.0.7
File Interpreter ABI Platform Actions
greenlight-2.0.7-py2.py3-none-any.whl Python 2, Python 3 none any Details for greenlight-2.0.7-py2.py3-none-any.whl

Total release size: 2.4 MB

Release files / greenlight-2.0.7.tar.gz

Download URL greenlight-2.0.7.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
7920704897eb7534adf2ecab4dafd796f17a11a5bb51ea6d44512d038b3878e4
BLAKE2b-256 checksum
How to use checksums
04e91a92fbcd6500063dd8cf1e8efe5f318f6b0bc37811e92ad9959976846f9c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18

Release files / greenlight-2.0.7-py2.py3-none-any.whl

Download URL greenlight-2.0.7-py2.py3-none-any.whl
Size 1.2 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
67b24ac7138cea3cc91cbba801ba1a33114ff006921f28add4313817870eaf9e
BLAKE2b-256 checksum
How to use checksums
5b2d9c599701b828536d0093e8b645936e8cfccb402f2d8fb4514f3563154b50
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18

Security for GreenLight 2.0.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page