View pyaging on Snyk Open Source Advisor

Package Health Score

69 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Sustainable

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Popularity

Limited

GitHub Stars: 80
Forks: 3
Contributors: 1

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyaging, we found that it has been starred 80 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 12, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
H
0
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0
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License Risk: 0
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0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that pyaging demonstrates a positive version release cadence with at least one new version released in the past 3 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: No
Code of Conduct: Yes
Contributors: 1
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: <3.12,>=3.9

Age: 12 months
Latest Release: 3 months ago
Dependencies: 0 Direct
Versions: 23
Maintainers: 1
Wheels: OS Independent

Readme

🐍 pyaging: a Python-based compendium of GPU-optimized aging clocks

pyaging is a cutting-edge Python package designed for the longevity research community, offering a comprehensive suite of GPU-optimized biological aging clocks.

Installation - Clock gallery - Search, cite, get metadata and clock parameters - Illumina Human Methylation Arrays - Illumina Mammalian Methylation Arrays - RRBS DNA methylation - Bulk histone mark ChIP-Seq - Bulk ATAC-Seq - Bulk RNA-Seq - Blood chemistry - API Reference

With a growing number of aging clocks and biomarkers of aging, comparing and analyzing them can be challenging. pyaging simplifies this process, allowing researchers to input various molecular layers (DNA methylation, histone ChIP-Seq, ATAC-seq, transcriptomics, etc.) and quickly analyze them using multiple aging clocks, thanks to its GPU-backed infrastructure. This makes it an ideal tool for large datasets and multi-layered analysis.

❓ Can't find an aging clock?

If you have recently developed an aging clock and would like it to be integrated into pyaging, please email us. We aim to incorporate it within two weeks! We are also happy to adapt to any licensing terms for commercial entities.

💬 Community Discussion

For coding-related queries, feedback, and discussions, please visit our GitHub Issues page.

📖 Citation

To cite pyaging, please use the following:

@article{de_Lima_Camillo_pyaging,
    author = {de Lima Camillo, Lucas Paulo},
    title = "{pyaging: a Python-based compendium of GPU-optimized aging clocks}",
    journal = {Bioinformatics},
    pages = {btae200},
    year = {2024},
    month = {04},
    issn = {1367-4811},
    doi = {10.1093/bioinformatics/btae200},
    url = {https://doi.org/10.1093/bioinformatics/btae200},
    eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btae200/57218155/btae200.pdf},
}

📝 To-Do List

[ ] Add SymphonyAge

FAQs

What is pyaging?

A Python-based compendium of GPU-optimized aging clocks. Visit Snyk Advisor to see a full health score report for pyaging, including popularity, security, maintenance & community analysis.

Is pyaging popular?

The python package pyaging receives a total of 340 weekly downloads. As such, pyaging popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyaging well maintained?

We found indications that pyaging maintenance is sustainable demonstrating some project activity. We saw a total of 1 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyaging safe to use?

The python package pyaging 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 9 November-2024, at 00:40 (UTC).

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pyaging

A Python-based compendium of GPU-optimized aging clocks. For more information about how to use this package see README

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Readme

🐍 pyaging: a Python-based compendium of GPU-optimized aging clocks

❓ Can't find an aging clock?

💬 Community Discussion

📖 Citation

📝 To-Do List

FAQs

What is pyaging?

Is pyaging popular?

Is pyaging well maintained?

Is pyaging safe to use?

Build a secure application checklist

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Fix identified vulnerabilities

Monitor for new issues

Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

🐍 pyaging: a Python-based compendium of GPU-optimized aging clocks

❓ Can't find an aging clock?

💬 Community Discussion

📖 Citation

📝 To-Do List

FAQs

What is pyaging?

Is pyaging popular?

Is pyaging well maintained?

Is pyaging safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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