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GASTLI

GASTLI: A Python package for coupled interior–atmosphere modelling of volatile-rich planets - Published in JOSS (2025)

https://github.com/lorenaacuna/gastli

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

GAS gianT modeL for Interiors

Basic Info
  • Host: GitHub
  • Owner: lorenaacuna
  • License: bsd-3-clause
  • Language: Fortran
  • Default Branch: main
  • Size: 38.8 MB
Statistics
  • Stars: 7
  • Watchers: 5
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License

README.rst 

======
GASTLI
======

.. image:: https://readthedocs.org/projects/gastli/badge/?version=latest
    :target: https://gastli.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status


**The GAS gianT modeL for Interiors (GASTLI): An open-source coupled interior-atmosphere model to unveil gas giant composition**

Welcome to the repository of GASTLI, an open-source code for the calculation of interior structure models for gas giants.
GASTLI allows the computation of mass-radius curves, thermal evolution curves, and interior composition retrievals to fit a interior structure model to your mass, radius, age, and if available, atmospheric metallicity data.

Documentation
=============
The code documentation, installation guide, and tutorial can be found here: `https://gastli.readthedocs.io/en/latest/ `_. 

Attribution
===========
If you use GASTLI in your work, please cite the following articles:

- The base package for gas giants is described in `Acuña et al. (2024) `_.
- Interior-atmosphere coupling algorithm: `Acuña et al. (2021) `_.

License
=======
Copyright 2024 Lorena Acuña

GASTLI is available under the BSD 3-Clause License.
See the LICENSE file for more information.

Owner

  • Login: lorenaacuna
  • Kind: user

JOSS Publication

GASTLI: A Python package for coupled interior–atmosphere modelling of volatile-rich planets
Published
March 21, 2025
DOI
Volume 10, Issue 107, Page 7288
Authors
Lorena Acuña ORCID
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
Laura Kreidberg ORCID
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
Meng Zhai ORCID
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany, Chinese Academy of Sciences South America Center for Astronomy (CASSACA), National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, PR China
Paul Mollière ORCID
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
Morgan Fouesneau ORCID
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
Editor
Josh Borrow ORCID
Tags
astronomy exoplanets interiors atmospheres
View PDF Review Thread Software Archive

GitHub Events

Total
  • Issues event: 21
  • Watch event: 7
  • Delete event: 1
  • Issue comment event: 45
  • Push event: 94
  • Pull request event: 2
  • Fork event: 3
  • Create event: 2
Last Year
  • Issues event: 21
  • Watch event: 7
  • Delete event: 1
  • Issue comment event: 45
  • Push event: 94
  • Pull request event: 2
  • Fork event: 3
  • Create event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 289
  • Total Committers: 2
  • Avg Commits per committer: 144.5
  • Development Distribution Score (DDS): 0.01
Past Year
  • Commits: 123
  • Committers: 2
  • Avg Commits per committer: 61.5
  • Development Distribution Score (DDS): 0.024
Top Committers
Name Email Commits
lorenaacuna 6****a 286
Warrick Ball w****l@g****m 3

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 12
  • Total pull requests: 5
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 4 hours
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 12
  • Pull requests: 4
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 6 hours
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ivalaginja (7)
  • MartianColonist (5)
Pull Request Authors
  • lorenaacuna (3)
  • warrickball (2)
Top Labels
Issue Labels
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Dependencies

docs/requirements.txt pypi
  • sphinx ==7.1.2
  • sphinx-autoapi *
  • sphinx-rtd-theme ==1.3.0rc1
pyproject.toml pypi
  • h5py >= 3.10.0
  • matplotlib >= 3.7.2
  • numpy >= 1.25.0
  • pandas >= 2.0.3
  • scipy >= 1.11.1
.github/workflows/draft-pdf.yml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • openjournals/openjournals-draft-action master composite