Name | artistools JSON |
Version |
2025.1.7
JSON |
| download |
home_page | None |
Summary | Plotting and analysis tools for the ARTIS 3D radiative transfer code for supernovae and kilonovae. |
upload_time | 2025-01-07 22:25:32 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | MIT |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# Artistools
> Artistools is collection of plotting, analysis, and file format conversion tools for the [ARTIS](https://github.com/artis-mcrt/artis) radiative transfer code.
[](https://zenodo.org/badge/latestdoi/53433932)
[](https://github.com/artis-mcrt/artistools/actions/workflows/pytest.yml)
[](https://codecov.io/gh/artis-mcrt/artistools)

## Installation
Requires Python >= 3.10
artistools can be installed from PyPI using `pip install artistools'. For development, clone the repository and make an editable install:
```sh
git clone https://github.com/artis-mcrt/artistools.git
cd artistools
python3 -m pip install --editable .[dev]
pre-commit install
```
## Usage
Type "artistools" at the command-line to get a full list of commands. The most frequently used commands are:
- artistools plotspectra
- artistools plotlightcurve
- artistools plotestimators
- artistools plotnltepops
- artistools describeinputmodel
Use the -h option to get a list of command-line arguments for each command. Most of these commands would usually be run from within an ARTIS simulation folder.
## Example output



## License
Distributed under the MIT license. See [LICENSE](https://github.com/artis-mcrt/artistools/blob/main/LICENSE.txt) for more information.
[https://github.com/artis-mcrt/artistools](https://github.com/artis-mcrt/artistools)
## Citing Artistools
If you artistools for a paper or presentation, please cite it. For details, see [https://zenodo.org/badge/latestdoi/53433932](https://zenodo.org/badge/latestdoi/53433932).
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"description": "# Artistools\n\n> Artistools is collection of plotting, analysis, and file format conversion tools for the [ARTIS](https://github.com/artis-mcrt/artis) radiative transfer code.\n\n[](https://zenodo.org/badge/latestdoi/53433932)\n[](https://github.com/artis-mcrt/artistools/actions/workflows/pytest.yml)\n[](https://codecov.io/gh/artis-mcrt/artistools)\n\n\n## Installation\nRequires Python >= 3.10\n\nartistools can be installed from PyPI using `pip install artistools'. For development, clone the repository and make an editable install:\n```sh\ngit clone https://github.com/artis-mcrt/artistools.git\ncd artistools\npython3 -m pip install --editable .[dev]\npre-commit install\n```\n\n## Usage\nType \"artistools\" at the command-line to get a full list of commands. The most frequently used commands are:\n- artistools plotspectra\n- artistools plotlightcurve\n- artistools plotestimators\n- artistools plotnltepops\n- artistools describeinputmodel\n\nUse the -h option to get a list of command-line arguments for each command. Most of these commands would usually be run from within an ARTIS simulation folder.\n\n## Example output\n\n\n\n\n\n## License\nDistributed under the MIT license. See [LICENSE](https://github.com/artis-mcrt/artistools/blob/main/LICENSE.txt) for more information.\n\n[https://github.com/artis-mcrt/artistools](https://github.com/artis-mcrt/artistools)\n\n\n## Citing Artistools\n\nIf you artistools for a paper or presentation, please cite it. For details, see [https://zenodo.org/badge/latestdoi/53433932](https://zenodo.org/badge/latestdoi/53433932).\n",
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