pyrovelocity

v0.3.0

A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyro. For more information about how to use this package see README

Latest version published 3 months ago

License: AGPL-3.0

PyPI

GitHub

Package Health Score

70 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Sustainable

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Popularity

Small

GitHub Stars: 40
Forks: 5
Contributors: 7

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyrovelocity, we found that it has been starred 40 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 16, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

AGPL-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

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 11
Open PR: 19
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that pyrovelocity demonstrates a positive version release cadence with at least one new version released in the past 12 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: Yes
Code of Conduct: Yes
Contributors: 7
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: <3.13,>=3.11

Age: 2 years
Latest Release: 3 months ago
Dependencies: 0 Direct
Versions: 39
Maintainers: 3
Wheels: OS Independent

Readme

Pyro-Velocity

𝒫robabilistic modeling of RNA velocity ⬱


CI/CD
Docs
Package
Meta

Pyro-Velocity is a library for probabilistic inference in minimal models approximating gene expression dynamics from, possibly multimodal, single-cell sequencing data. It provides posterior estimates of gene expression parameters, predictive estimates of gene expression states, and local estimates of cell state transition probabilities. It can be used as a component in frameworks that attempt to retain the ability to propagate uncertainty in predicting: distributions over cell fates from subpopulations of cell states, response to cell state perturbations, or candidate genes or gene modules that correlate with determination of specific cell fates.

Documentation 📒

Please see the Documentation.

Changelog 🔀

Changes for each release are listed in the Changelog.

Contributing ✨

Please review the Contributing Guide for instructions on setting up a development environment and submitting pull requests.

Community 🏘

If you would like to apply Pyro-Velocity in your research, have an idea for a new feature, have a problem using the library, or just want to chat, please feel free to start a discussion.

If you have a feature request or issue using Pyro-Velocity that may require making changes to the contents of this repository, please file an issue containing

a GitHub permananent link to the location in the repository you think is causing a problem or will require changes, and
provide a minimal reproducible example of the problem or proposed improvement.

We are always interested in discussions and issues that can help to improve the Documentation.

License ⚖️

AGPL

FAQs

What is pyrovelocity?

A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyr... Visit Snyk Advisor to see a full health score report for pyrovelocity, including popularity, security, maintenance & community analysis.

Is pyrovelocity popular?

The python package pyrovelocity receives a total of 1,051 weekly downloads. As such, pyrovelocity popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyrovelocity well maintained?

We found that pyrovelocity demonstrated a healthy version release cadence and project activity. It has a community of 7 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyrovelocity safe to use?

The python package pyrovelocity 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 21 November-2024, at 07:49 (UTC).

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