Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Sustainable

Popularity

Limited

GitHub Stars: 332
Forks: 54
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package jf1uids, we found that it has been starred 332 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 14, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Unrecognized

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 2
Open PR: 0
Last Release: 1 month ago
Last Commit: 3 months ago

Further analysis of the maintenance status of jf1uids based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that jf1uids demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like jf1uids is missing a Code of Conduct.

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Package

Python Versions Compatibility: <4.0,>=3.9

Age: 2 months
Latest Release: 1 month ago
Dependencies: 0 Direct
Versions: 7
Maintainers: 1
Wheels: OS Independent

Readme

jf1uids - Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds

Welcome to the repository of jf1uids, a 1d radial fluid solver written in JAX.

jf1uid is written in a way such that mass and energy are conserved based on the approach of Crittenden and Balachandar (2018) with a MUSCL-Hancock fluid solver. Note that for any general pupose (non-radial) problem consider using JAX-Fluids.

The solver's code can be found in the jf1uis folder. You can find a simple example for getting started under simple_example.ipynb.

Installation

jf1uids can be installed via pip:

pip install jf1uids

For running the notebooks you will also need to install matplotlib (and jupyter).

Reproducing the results from the paper

All the results from the paper can easily be reproduced via the notebooks provided

figure 1 → conservational_properties.ipynb: For a radial shock problem, conservation of mass and energy in jf1uids are showcased.
figure 2 → gradients_through_stellar_wind.ipynb: The gradients of the final fluid state with respect to the wind's velocity are analyzed.
figure 3 → wind_parameter_optimization.ipynb: Finding wind parameters from the final fluid state via gradient-descent is shown.

Roadmap

[x] Implement a conservative 1d radial fluid solver with simple to implement yet powerful numerical schemes.
[x] Implement a simple stellar wind model, first analyses on the gradients of the final fluid state with respect to the wind parameters.
[ ] Implementation of higher-order reconstruction methods like WENO-Z+, etc.
[ ] Implementation of different Riemann solvers
[ ] Implementation of a shock finder
[ ] Implementation of a simple cosmic ray model based on the energy dissipation in shocks
[ ] Two-fluid cosmic-ray model
[ ] Full-spectrum cosmic ray modeling

FAQs

What is jf1uids?

conservative, differentiable, radial 1d fluid solver with astrophysical modules. Visit Snyk Advisor to see a full health score report for jf1uids, including popularity, security, maintenance & community analysis.

Is jf1uids popular?

We’re still processing downloads data for the python package jf1uids. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is jf1uids well maintained?

We found indications that jf1uids maintenance is sustainable demonstrating some project activity. We saw a total of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is jf1uids safe to use?

The python package jf1uids was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 26 November-2024, at 20:18 (UTC).

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jf1uids

conservative, differentiable, radial 1d fluid solver with astrophysical modules For more information about how to use this package see README

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Package Health Score

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Readme

jf1uids - Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds

Installation

Reproducing the results from the paper

Roadmap

FAQs

What is jf1uids?

Is jf1uids popular?

Is jf1uids well maintained?

Is jf1uids safe to use?

Build a secure application checklist

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Package Health Score

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Commit Frequency

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Readme

jf1uids - Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds

Installation

Reproducing the results from the paper

Roadmap

FAQs

What is jf1uids?

Is jf1uids popular?

Is jf1uids well maintained?

Is jf1uids safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

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Config

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