paicos

v0.1.15

An object-oriented Python package for analysis of (cosmological) simulations performed with Arepo. For more information about how to use this package see README

Latest version published 6 months ago

License: GPL-3.0

PyPI

GitHub

Package Health Score

61 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Sustainable

Popularity

Limited

GitHub Stars: 12
Forks: 3
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package paicos, we found that it has been starred 12 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 19, 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

GPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

We found a way for you to contribute to the project! Looks like paicos is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Sustainable

Commit Frequency

Open Issues: 1
Open PR: 1
Last Release: 6 months ago
Last Commit: 14 days ago

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

We found that paicos demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

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

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >3.8.0

Age: 1 year
Latest Release: 6 months ago
Dependencies: 4 Direct
Versions: 11
Maintainers: 0
Wheels: Linux, macOS

Readme

Paicos

An object-oriented Python package for analysis of (cosmological) simulations performed with Arepo.

Documentation and asking for help

Installation instructions and tips on how to get started can be found on readthedocs.

If you have questions not answered there or if you simply can't get things working, then please feel free to create an issue or to send an email to tberlok ad nbi.ku.dk.

Reporting issues and/or requesting features

Paicos uses GitHub Issues to track bugs and feature requests. Please search the existing issues before filing new issues to avoid duplicates.

Contributing

Contributions are very welcome indeed! Please see instructions here.

Citing

Please cite Paicos whenever you use it for your research. A Bibtex file can be found below:

@article{Berlok_Paicos_A_Python_2024,
author = {Berlok, Thomas and Jlassi, Léna and Puchwein, Ewald and Haugbølle, Troels},
doi = {10.21105/joss.06296},
journal = {Journal of Open Source Software},
month = apr,
number = {96},
pages = {6296},
title = {{Paicos: A Python package for analysis of (cosmological) simulations performed with Arepo}},
url = {https://joss.theoj.org/papers/10.21105/joss.06296},
volume = {9},
year = {2024}
}

paicos dependencies

h5py matplotlib numba numpy

FAQs

What is paicos?

An object-oriented Python package for analysis of (cosmological) simulations performed with Arepo. Visit Snyk Advisor to see a full health score report for paicos, including popularity, security, maintenance & community analysis.

Is paicos popular?

The python package paicos receives a total of 131 weekly downloads. As such, paicos popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is paicos well maintained?

We found indications that paicos maintenance is sustainable demonstrating some project activity. We saw a total of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is paicos safe to use?

The python package paicos 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 17 December-2024, at 01:51 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP