nonos

Visualization library and CLI for protoplanetary disks simulations

https://github.com/la-niche/nonos

Science Score: 54.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 5 committers (40.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.9%) to scientific vocabulary

Keywords

astronomy astrophysics command-line-tool high-performance-computing library matplotlib protoplanetary-disks python simulations vizualisation

Keywords from Contributors

mesh regionalization optim dynamics utility-functions interactive exoplanet energy-system data-profilers datacleaner
Last synced: 4 months ago · JSON representation ·

Repository

Visualization library and CLI for protoplanetary disks simulations

Basic Info
Statistics
  • Stars: 6
  • Watchers: 3
  • Forks: 4
  • Open Issues: 21
  • Releases: 31
Topics
astronomy astrophysics command-line-tool high-performance-computing library matplotlib protoplanetary-disks python simulations vizualisation
Created almost 5 years ago · Last pushed 4 months ago
Metadata Files
Readme License Citation

README.md

nonos

PyPI Supported Python Versions Documentation Status uv

nonos is a Python 2D visualization library for planet-disk numerical simulations. It supports vtk-formatted data from Pluto and Idefix, and dat-formatted data for Fargo-adsg and Fargo3D.

For more, read the documentation !

Data Formats

We list here the accepted formats for the data: Pluto and Idefix: data.****.vtk Fargo-adsg: gasdens.dat, gasvy*.dat, gasvx*.dat Fargo3D: same as Fargo-adsg + gasvz*.dat

Development status

nonos is considered public beta software: we are actively improving the design and API, but we are not at the point where we want to bless the current state as stable yet. We are trying to keep breaking changes to a minimum, and run deprecation cycles to minimize the pain, however they might happen in any minor release, so if you rely on nonos for your own work (thank you !), we strongly encourage you to follow along releases and upgrade frequently, so we have more opportunities to discuss if something breaks.

Installation

Get nonos and its minimal set of dependencies as

shell python -m pip install nonos

Optionally, you can install with the companion command line interface too shell python -m pip install "nonos[cli]"

or, to also get all optional dependencies (CLI included) shell python -m pip install "nonos[all]"

Usage

```python from nonos.api import GasDataSet import matplotlib.pyplot as plt

plt.close("all")

We use GasDataSet which takes as argument the output number of the output file given by idefix/pluto/fargo

contains in particular a dictionary with the different fields.

ds = GasDataSet(43, geometry="polar", directory="nonos/tests/data/idefix_planet3d")

We select the GasField "RHO", then

we perform a vertical slice in the midplane,

and make the result plotable in the xy plane,

rotating the grid given the planet number 0

(which orbit is described in the planet0.dat file).

dsop = ds["RHO"].verticalatmidplane().map("x", "y", planet_corotation=0) fig, ax = plt.subplots()

dsop is now a Plotable object.

We represent its log10, with a given colormap,

and we display the colorbar by adding the argument title.

dsop.plot(fig, ax, log=True, cmap="inferno", title=r"$\rho{\rm mid}$") ax.setaspect("equal")

This time, we perform a latitudinal projection,

i.e. the integral of "RHO" between -theta and theta,

and then an azimuthal average,

before mapping it in the radial ("R") direction.

dsop = ds["RHO"].latitudinalprojection(theta=3*0.05).azimuthalaverage().map("R") fig, ax = plt.subplots()

We display the y-axis by adding the argument title.

dsop.plot(fig, ax, c="k", title=r"$\Sigma$") plt.show() ```

Reusing nonos' style

requires matplotlib >= 3.7

nonos CLI uses a custom style that can be reused programmatically, without importing the package, using matplotlib API python import matplotlib.pyplot as plt plt.style.use("nonos.default")

See matplotlib.style's documentation for more.

Owner

  • Name: la niche
  • Login: la-niche
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Wafflard-Fernandez"
  given-names: "Gaylor"
  orcid: "https://orcid.org/0000-0002-3468-9577"
- family-names: "Robert"
  given-names: "Clément"
  orcid: "https://orcid.org/0000-0001-8629-7068"
title: "nonos"
version: 0.19.0 # when bumping this, remember to also update date-released
date-released: 2025-08-28
url: "https://github.com/la-niche/nonos"

GitHub Events

Total
  • Create event: 13
  • Release event: 2
  • Issues event: 10
  • Delete event: 14
  • Issue comment event: 10
  • Push event: 28
  • Pull request review event: 1
  • Pull request review comment event: 3
  • Pull request event: 58
  • Fork event: 1
Last Year
  • Create event: 13
  • Release event: 2
  • Issues event: 10
  • Delete event: 14
  • Issue comment event: 10
  • Push event: 28
  • Pull request review event: 1
  • Pull request review comment event: 3
  • Pull request event: 58
  • Fork event: 1

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 764
  • Total Committers: 5
  • Avg Commits per committer: 152.8
  • Development Distribution Score (DDS): 0.53
Past Year
  • Commits: 118
  • Committers: 5
  • Avg Commits per committer: 23.6
  • Development Distribution Score (DDS): 0.254
Top Committers
Name Email Commits
Gaylor WAFFLARD g****d@u****r 359
Clément Robert c****2@p****m 328
pre-commit-ci[bot] 6****] 40
dependabot[bot] 4****] 36
Gaylor Wafflard w****g@i****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 1
  • Total pull requests: 4
  • Average time to close issues: about 19 hours
  • Average time to close pull requests: 12 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 4
  • Average time to close issues: about 19 hours
  • Average time to close pull requests: 12 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • neutrinoceros (8)
  • renovate[bot] (1)
Pull Request Authors
  • neutrinoceros (26)
  • renovate[bot] (5)
  • dependabot[bot] (2)
  • pre-commit-ci[bot] (1)
Top Labels
Issue Labels
pkg: cli (4) documentation (3) pkg: lib (2) dependencies (1)
Pull Request Labels
dependencies (10) pkg: cli (4) documentation (3) bug (3) github_actions (2) pkg: lib (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 187 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 35
  • Total maintainers: 2
pypi.org: nonos

A lightweight plotting library for protoplanetary disks simulations

  • Versions: 35
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 187 Last month
Rankings
Dependent packages count: 7.4%
Forks count: 19.2%
Average: 20.3%
Stargazers count: 21.6%
Dependent repos count: 22.2%
Downloads: 31.2%
Maintainers (2)
Last synced: 4 months ago

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
pyproject.toml pypi
  • cblind >=2.2.2
  • importlib_resources >=1.3; python_version < '3.9'
  • inifix >=3.0.0
  • lick >=0.2.0
  • loguru >=0.5.3
  • matplotlib >=3.5.0
  • numpy >=1.18.5
  • rich >=10.13.0
  • scipy >=1.6.1
requirements/tests.txt pypi
  • cogapp >=3.3.0 test
  • numexpr >=2.8.3 test
  • pytest >=6.1 test
  • pytest-mpl >=0.15.1 test
requirements/typecheck.txt pypi
  • mypy ==1.0.0