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artistools

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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. A free-threaded Python requires version 3.15 or later, e.g. Python 3.15t.

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 a uv virtual environment in the clone, with the development tools, run:

uv sync --all-extras
uv run -- prek install

uv run -- artistools then runs the command of the clone. To make the artistools command available outside the clone, also run uv tool install --editable .[extras].

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

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

To enable tab completion, run artistools completions. The command detects your shell and gives the steps for it.

Citing artistools

If you use artistools for a paper or a 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 plotlightcurves (alias: at lc)
  • artistools plotestimators (alias: at estimators)
  • artistools plotnltepops
  • artistools inputmodel describe

Use the -h option to get a list of command-line arguments for each subcommand. Set ARTISTOOLS_TRACEBACK=1 to get the full traceback of an error. Run a command in an ARTIS run folder, or give the path of the folder. A command that reads a model takes the folder with -modelpath, e.g. artistools timesteps -modelpath mymodel. Most of these commands also take the folder as the last positional argument, e.g. artistools plotspectra -t 300 mymodel.

A model on a different host

These commands accept a model path of the form host:path, where host is a name that ssh knows:

  • plotestimators and its --interactive viewer;
  • plotlightcurves and its --interactive viewer;
  • plotspectra and its --interactive viewer;
  • at.scan_estimators in a Python script.
artistools plotspectra -t 300 vae26:~/scratch/mymodel

The rule of rsync decides whether a path is remote: a colon before the first slash makes a remote path. A local folder with such a colon in its name needs "./" at the start, e.g. ./run:2.

artistools starts the server on that host through ssh, and it prints the command and the reason for it. A release of artistools starts uvx artistools@<version> server, with the versions of the local artistools and polars. Thus the host needs only uv. A clone whose package code differs from the release starts its git commit with uvx, if the commit is on a remote branch. The host then also needs git and Rust. For a commit that is only in the clone, the release starts, because the host cannot get the commit. The command sets POLARS_MAX_THREADS=16, because a login node can have hundreds of cores, and other users share them. The server reads the files and makes the data of each plot, e.g. it puts the packets into bins. Only the data to draw comes back, and the parquet caches stay beside the data on the host. A script sends the filter and the columns of each query to the host, and only the rows of the query come back.

An option that reads its files on the local host stops with an error. To start the server with a different command on the host, e.g. an artistools in a clone, set ARTISTOOLS_REMOTE_COMMAND:

export ARTISTOOLS_REMOTE_COMMAND='POLARS_MAX_THREADS=16 ~/artistools/.venv/bin/artistools server'

The environment of such a command must have the same version of polars as the client. The filter of a query goes to the host as a polars expression, and the format of an expression changes between two versions. If the versions differ, the client stops with an error that gives the uvx option.

Use from Python

artistools is mainly a set of commands, but a script or a notebook can call the same functions. import artistools as at gives a small set of names at the top level. Each package holds the other names, e.g. at.spectra and at.inputmodel.

from pathlib import Path

import artistools as at
import polars as pl

modelpath = Path("mymodel")
dfmodel, modelmeta = at.get_modeldata(modelpath)
times_days = at.get_timestep_times(modelpath, loc="mid")
dftemperature = at.scan_estimators(modelpath).filter(pl.col("timestep") == 40).select("modelgridindex", "Te").collect()
dfspectrum = at.spectra.get_spectra(modelpath, timestepmin=40, timestepmax=45)[-1].collect()

A function with the prefix scan_ returns a polars LazyFrame, or one LazyFrame for each direction bin, and reads nothing until .collect(). A function with the prefix read_ reads at once. A function with the prefix get_ can do either, and the tables below say which one returns a LazyFrame. The direction bin -1 is the average over all directions.

Names at the top level

Name Purpose
at.get_modeldata Read model.txt. Return the cells as a LazyFrame, and the model parameters as a dictionary.
at.add_derived_cols_to_modeldata Add columns that follow from the model file, e.g. the volume and the mass of each cell.
at.get_inputparams Return the parameters of input.txt.
at.get_model_name Return the name of the model that holds a path.
at.get_nprocs Return the number of MPI processes of the run.
at.get_timestep_times Return the time in days of each timestep (loc is "start", "mid", "end", or "delta").
at.get_timestep_of_timedays Return the timestep that holds a time in days.
at.scan_estimators Read the estimators of a full run as a LazyFrame, with a row for each timestep and cell.
at.get_deposition Return deposition.out as a LazyFrame.
at.get_composition_data Return the elements and the ion stages of compositiondata.txt as a DataFrame.
at.get_ionstring Return a text such as Fe II for an atomic number and an ion stage.
at.get_ion_tuple Return (26, 2) for a text such as FeII, Fe II, or 26_2.
at.get_elsymbol Return the element symbol of an atomic number.
at.get_atomic_number Return the atomic number of an element symbol.
at.get_z_a_nucname Return the atomic number and the mass number of a text such as Pb208.
at.decode_roman_numeral Return the integer of a Roman numeral.
at.get_path Return a known path by name, e.g. the package folder.
at.firstexisting Return the first file of a list that exists, with a compressed copy as an alternative.
at.zopen Open a file, or its .zst, .gz, or .xz copy.

Main readers in the packages

Name Purpose
at.estimators.read_estimators Read the estimators of a few cells into a dictionary. This is slow for many cells, thus prefer at.scan_estimators.
at.spectra.get_spectra Return a dictionary with a LazyFrame of the spectrum of each direction bin, as an average over a range of timesteps.
at.spectra.get_from_packets Return a dictionary with a LazyFrame of the spectrum of each direction bin from the packets files, for a range of arrival times.
at.lightcurve.scan_lightcurve Read a light curve file. Return one LazyFrame for each direction bin.
at.lightcurve.get_from_packets Return a dictionary with a LazyFrame of the luminosity against time of each direction bin, from the packets files.
at.packets.get_packets Return the number of ranks and a LazyFrame of the packets of a run.
at.nltepops.read_nltepops Read the NLTE populations of a timestep and of one or more cells.
at.atomic.get_levels Return the energy levels of each ion, with the transitions as an option.
at.inputmodel.save_modeldata Write model.txt.zst from a dataframe of the cells.
at.plottools.set_mpl_style Apply the matplotlib style of artistools.

The command of a package

A package that has a plot command gives it as plot, e.g. at.spectra.plot, at.lightcurve.plot, at.estimators.plot, at.nltepops.plot, at.packets.plot, at.nonthermal.plot, and at.gsinetwork.plot. This function is the command itself. Each keyword is one command-line argument, and argsraw gives more arguments as text, e.g. argsraw=["-t", "300"]:

at.spectra.plot(argsraw=[], specpath=[modelpath], timedays="300", outputfile="spectrum.pdf")

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

Metadata

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artistools-2026.10.11-cp315-abi3.abi3t-manylinux_2_28_x86_64.whl CPython 3.15 abi3, abi3t Linux glibc 2.28+ x86-64 Details
artistools-2026.10.11-cp315-abi3.abi3t-manylinux_2_28_aarch64.whl CPython 3.15 abi3, abi3t Linux glibc 2.28+ ARM64 Details
artistools-2026.10.11-cp315-abi3.abi3t-macosx_14_0_arm64.whl CPython 3.15 abi3, abi3t macOS 14.0+ ARM64 Details
artistools-2026.10.11-cp313-abi3-manylinux_2_28_x86_64.whl CPython 3.13 abi3 Linux glibc 2.28+ x86-64 Details
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artistools-2026.10.11-cp313-abi3-macosx_14_0_arm64.whl CPython 3.13 abi3 macOS 14.0+ ARM64 Details

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