artistools

DOI PyPI - Version License

Supported Python versions Installation and pytest codecov

Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code.

Installation

Requires Python >= 3.13

The artistools command can be invoked with uvx artistools (after installing uv), installed globally with uv tool install artistools, or installed into your environment with pip install artistools.

Development (editable installation)

For development, you will need a rust compiler and a clone of the repository:

git clone https://github.com/artis-mcrt/artistools.git
cd artistools

To make the artistools command available using an isolated uv virtual environment, run:

uv tool install --editable .[extras]
prek install

Alternatively, to avoid uv and install into the system environment with pip:

pip install --group dev --editable .[extras]
prek install

To learn how to enable command-line autocompletions, run:

artistools completions

Citing artistools

If you artistools for a paper or presentation, please cite it. For details, see https://zenodo.org/badge/latestdoi/53433932.

Usage

Run "artistools" (or the short alias "at") at the command-line to get a full list of subcommands, and "artistools --version" to check the installed version. Some common commands are:

  • artistools plotspectra (alias: at spec)
  • artistools plotlightcurve (alias: at lc)
  • artistools plotestimators (alias: at estimators)
  • artistools plotnltepops
  • artistools describeinputmodel

Use the -h option to get a list of command-line arguments for each subcommand. Most of these commands should be run either within an ARTIS simulation folder or by passing the folder path as the last argument.

Example output

Emission plot NLTE plot Estimator plot

License

Distributed under the MIT license. See LICENSE for more information.

https://github.com/artis-mcrt/artistools

Project links

Data verified by PyPI on Aug 20, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2026.8.21)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for lukeshingles from gravatar.com lukeshingles

Credits

Author: Luke J. Shingles

GitHub Statistics

Data verified by PyPI on Aug 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.13

Provides Extra

extras

Tags

artis astronomy astrophysics kilonova monte-carlo radiative-transfer supernova

Classifiers

Report project as malware

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