Skip to main content

artistools

DOI PyPI - Version License

Supported Python versions Installation and pytest

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 a model folder, or give the path of the model folder. A command that reads a model takes the model path with -modelpath, e.g. artistools timesteps -modelpath mymodel. Most of these commands also take the model path 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. ./model: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

Release files for artistools 2026.10.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for artistools 2026.10.13
File Size Uploaded
artistools-2026.10.13.tar.gz 9.0 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for artistools 2026.10.13
File
artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_x86_64.whl CPython 3.15 abi3, abi3t Linux glibc 2.28+ x86-64 Details
artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_aarch64.whl CPython 3.15 abi3t, abi3 Linux glibc 2.28+ ARM64 Details
artistools-2026.10.13-cp315-abi3.abi3t-macosx_14_0_arm64.whl CPython 3.15 abi3, abi3t macOS 14.0+ ARM64 Details
artistools-2026.10.13-cp313-abi3-manylinux_2_28_x86_64.whl CPython 3.13 abi3 Linux glibc 2.28+ x86-64 Details
artistools-2026.10.13-cp313-abi3-manylinux_2_28_aarch64.whl CPython 3.13 abi3 Linux glibc 2.28+ ARM64 Details
artistools-2026.10.13-cp313-abi3-macosx_14_0_arm64.whl CPython 3.13 abi3 macOS 14.0+ ARM64 Details

Total release size: 100.7 MB

Release files / artistools-2026.10.13.tar.gz

Download URL artistools-2026.10.13.tar.gz
Size 9.0 MB
Tags Source
SHA-256 checksum
How to use checksums
0c56ef8504b38cc822b09b31884669b118a79c31f346990731a72a6d33034923
BLAKE2b-256 checksum
How to use checksums
50b76453c51d23c1dffe0c5dbf421186e2d3f75da9d49f351df4d91fed07ff5e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_x86_64.whl

Download URL artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_x86_64.whl
Size 15.9 MB
Tags CPython 3.15 Linux glibc 2.28+ x86-64 abi3 abi3t
SHA-256 checksum
How to use checksums
b83538b4952d2f042f4500147dad17d40b1200a5240affeee97541c79011b204
BLAKE2b-256 checksum
How to use checksums
70ae238568647b6b2ec87845d7d0cdae21640fdddc7404bb4d8d0e061f25190e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_aarch64.whl

Download URL artistools-2026.10.13-cp315-abi3.abi3t-manylinux_2_28_aarch64.whl
Size 16.0 MB
Tags CPython 3.15 Linux glibc 2.28+ ARM64 abi3 abi3t
SHA-256 checksum
How to use checksums
eab8882ef7077bab55a33a4a8779d5ee12d2df656144ede0c85b2b917c401c3a
BLAKE2b-256 checksum
How to use checksums
eff887edf319a3761fcc01133c2520047ddee0830b8596bed27e246e2fd0ebe2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp315-abi3.abi3t-macosx_14_0_arm64.whl

Download URL artistools-2026.10.13-cp315-abi3.abi3t-macosx_14_0_arm64.whl
Size 13.9 MB
Tags CPython 3.15 abi3 abi3t macOS 14.0+ ARM64
SHA-256 checksum
How to use checksums
21db270afb52043b3c70d9c2dc3694c56d289d3ba33d8aeaea3b4c2a272a5613
BLAKE2b-256 checksum
How to use checksums
0a6fcf1e1ad227bdc481dca62e57f7e114528514098ffd966667a5ea91808099
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp313-abi3-manylinux_2_28_x86_64.whl

Download URL artistools-2026.10.13-cp313-abi3-manylinux_2_28_x86_64.whl
Size 15.9 MB
Tags CPython 3.13 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
3f276fee6ba75ec3586dd697d8798171c2ca33ee46e38b8cff5b763a9d5e7941
BLAKE2b-256 checksum
How to use checksums
9c3e978ad7ae041a4ea9b4e9fdb89b7fa97eab92c7c474b87e69c239b5703a58
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp313-abi3-manylinux_2_28_aarch64.whl

Download URL artistools-2026.10.13-cp313-abi3-manylinux_2_28_aarch64.whl
Size 16.0 MB
Tags CPython 3.13 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
e9550a9d656164554de13d8f430c56dbae3606c868f250188792294066a2dd1a
BLAKE2b-256 checksum
How to use checksums
6362d758042f797c82dc802e06e3089283dd1a0c1888cb8a2975c6459a09d557
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release files / artistools-2026.10.13-cp313-abi3-macosx_14_0_arm64.whl

Download URL artistools-2026.10.13-cp313-abi3-macosx_14_0_arm64.whl
Size 13.9 MB
Tags CPython 3.13 abi3 macOS 14.0+ ARM64
SHA-256 checksum
How to use checksums
0b23212614260f6873bfacadd82caba5fb5e7461855bc3739a5451b838c4d086
BLAKE2b-256 checksum
How to use checksums
e31f75e700b68af27a37f9a8c0ebcee1a3f4bd4f468224f73b73abbcf9185927
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

2026.10.13 This release

7 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page