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gsee

Global Solar Energy Estimator.
https://github.com/renewables-ninja/gsee

Category: Renewable Energy
Sub Category: Photovoltaics and Solar Energy

Keywords

electricity energy irradiance ninja pandas photovoltaic pv solar

Keywords from Contributors

energy-system

Last synced: about 15 hours ago
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Repository metadata

GSEE: Global Solar Energy Estimator

README.md

Tests
Test coverage
PyPI version
conda-forge version

GSEE: Global Solar Energy Estimator

GSEE is a solar energy simulation library designed for rapid calculations and ease of use. It can run for a single site with a pandas DataFrame to hundreds of thousands of sites or global grids with xarray Datasets. Renewables.ninja uses GSEE.

The development of GSEE predates the existence of pvlib-python but builds on its functionality as of v0.4.0. Use GSEE if you want fast simulations with sensible defaults and/or its climate data interface, and pvlib-python if you need control over the nuts and bolts of simulating PV systems.

Installation

pip install gsee

To also install the built-in irradiance probability density functions used by the climate data interface:

pip install gsee[climate]

GSEE is also available via conda-forge.

Documentation

See the documentation for more information on GSEE's functionality and for examples.

Credits and contact

Contact Stefan Pfenninger for questions about GSEE. GSEE is also a component of the Renewables.ninja project, developed by Stefan Pfenninger and Iain Staffell. Use the contact page there if you want more information about Renewables.ninja.

Citation

If you use GSEE or code derived from it in academic work, please cite:

Stefan Pfenninger and Iain Staffell (2016). Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data. Energy 114, pp. 1251-1265. doi: 10.1016/j.energy.2016.08.060

License

BSD-3-Clause

Contributors ✨

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!

Citation (CITATION)

To reference GSEE in publications, please cite the following paper:

Stefan Pfenninger and Iain Staffell (2016). Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data. Energy 114, pp. 1251-1265. https://dx.doi.org/10.1016/j.energy.2016.08.060

Owner metadata

GitHub Events

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Last Year

Committers metadata

Last synced: 13 days ago

Total Commits: 89
Total Committers: 5
Avg Commits per committer: 17.8
Development Distribution Score (DDS): 0.101

Commits in past year: 23
Committers in past year: 3
Avg Commits per committer in past year: 7.667
Development Distribution Score (DDS) in past year: 0.217

Name Email Commits
Stefan Pfenninger s****n@p****g 80
dependabot[bot] 4****] 4
muelljoh 4****h 3
tsaoyu t****u@t****m 1
Mayk Thewessen m****2@h****m 1

Committer domains:

Issue and Pull Request metadata

Last synced: 26 days ago

Total issues: 9
Total pull requests: 18
Average time to close issues: almost 3 years
Average time to close pull requests: about 1 month
Total issue authors: 9
Total pull request authors: 7
Average comments per issue: 0.44
Average comments per pull request: 0.83
Merged pull request: 9
Bot issues: 0
Bot pull requests: 7

Past year issues: 3
Past year pull requests: 8
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 16 days
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 0.33
Past year average comments per pull request: 0.75
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 7

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/renewables-ninja/gsee

Top Issue Authors

  • gregorywill070-maker (1)
  • AntonFrisk (1)
  • phumthep (1)
  • ChanceQZ (1)
  • MaykThewessen (1)
  • sjpfenninger (1)
  • mfleschutz (1)
  • jwohland (1)
  • rabwent11 (1)

Top Pull Request Authors

  • dependabot[bot] (7)
  • muelljoh (5)
  • tsaoyu (2)
  • knyghty (1)
  • arjunane (1)
  • MaykThewessen (1)
  • jwohland (1)

Top Issue Labels

Top Pull Request Labels

  • dependencies (7)
  • github_actions (4)
  • python (3)

Package metadata

pypi.org: gsee

GSEE: Global Solar Energy Estimator

  • Homepage: https://github.com/renewables-ninja/gsee
  • Documentation: https://gsee.readthedocs.io/
  • Licenses: bsd-3-clause
  • Latest release: 0.3.1 (published about 7 years ago)
  • Last Synced: 2026-08-15T19:01:29.982Z (1 day ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 59 Last month
  • Rankings:
    • Forks count: 6.389%
    • Stargazers count: 7.07%
    • Dependent packages count: 7.373%
    • Average: 11.177%
    • Downloads: 12.82%
    • Dependent repos count: 22.233%
  • Maintainers (1)
conda-forge.org: gsee

GSEE is a solar energy simulation library designed for rapid calculations and ease of use.

  • Homepage: https://github.com/renewables-ninja/gsee
  • Licenses: BSD-3-Clause
  • Latest release: 0.3.1 (published over 6 years ago)
  • Last Synced: 2026-04-08T09:54:57.528Z (4 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Forks count: 26.414%
    • Stargazers count: 31.305%
    • Dependent repos count: 34.025%
    • Average: 35.73%
    • Dependent packages count: 51.175%

Dependencies

requirements_docs.txt pypi
  • mkautodoc *
  • mkdocs ==1.0.4
  • mkdocs-material ==4.6.0
  • mkdocs-minify-plugin *
  • pymdown-extensions ==6.2
pyproject.toml pypi
requirements.txt pypi
  • pandas ==1.4.3
  • pvlib >=0.10.4,<0.11
  • pyephem >=9.99,<10
  • xarray ==2022.6

Score: 10.763736893526659