Metadata-Version: 2.1
Name: gemini-framework
Version: 0.2.5
Summary: 
Author: Ryvo Octaviano
Author-email: ryvo.octaviano@tno.nl
Requires-Python: >=3.11,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
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Requires-Dist: flake8 (>=7.0.0,<8.0.0)
Requires-Dist: gemini-model (==0.2.0)
Requires-Dist: influxdb-client (>=1.43.0,<2.0.0)
Requires-Dist: matplotlib (>=3.9.0,<4.0.0)
Requires-Dist: numpy (>=1.26.4,<2.0.0)
Requires-Dist: pandas (>=2.2.2,<3.0.0)
Requires-Dist: pytest (>=8.2.2,<9.0.0)
Requires-Dist: pytest-cov (>=5.0.0,<6.0.0)
Requires-Dist: pytz (>=2024.1,<2025.0)
Requires-Dist: requests (>=2.28.0,<3.0.0)
Requires-Dist: scipy (>=1.13.1,<2.0.0)
Description-Content-Type: text/markdown

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# gemini-framework

This repository is part of the 'Nieuwe Warmte Nu GEMINI Digital Twin' project. 

Framework library of the GEMINI Digital Twin


## Bug reports and discussions

If you think you found a bug, feel free to open an [issue](https://github.com/GEMINI-Digital-Twin/gemini-framework/issues).
Focused suggestions and requests can also be opened as issues. Before opening a pull request, please start an issue or a discussion on the topic.

## Contribution

If you want to contribute to the package, please read our [CONTRIBUTING.md](https://github.com/GEMINI-Digital-Twin/gemini-framework/blob/main/CONTRIBUTING.md) file.

## License

This content is released under the [GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.html) License.


## Acknowledgments
This project is sponsored by NWM innovatie: Datagedreven optimalisatie aardwarmtesystemen
(https://nwn.nu/projecten/innovaties/datagedreven-optimalisatie-aardwarmte-systemen)

Organization: TNO, Aardyn, HVC, Well Engineering Partners (WEP), Helin Data
