Package Health Score

57 / 100

security
Security review needed
popularity
Limited
maintenance
Sustainable
community
Limited

Explore Similar Packages

Popularity

Limited

GitHub Stars: 16
Forks: 0
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package geniml, we found that it has been starred 16 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 3, 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
2
M
0
L

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

License

BSD-2-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 5
Open PR: 0
Last Release: 19 days ago
Last Commit: 7 months ago

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

We found that geniml 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the geniml repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.8.*, ==3.9.*

Age: 1 year
Latest Release: 19 days ago
Dependencies: 0 Direct
Versions: 10
Maintainers: 0
Wheels: OS Independent

Readme

Genomic interval machine learning (geniml)

Geniml is a python package for building machine learning models of genomic interval data (BED files). It also includes ancillary functions to support other types of analyses of genomic interval data.

Documentation is hosted at .

Installation

To install `geniml` use this commands.

Without specifying dependencies, the default dependencies will be installed, which DO NOT include machine learning (ML) or heavy processing libraries.

From pypi:

pip install geniml

or install the latest version from the GitHub repository:

pip install git+https://github.com/databio/geniml.git

To install Machine learning dependencies use this command:

From pypi:

pip install geniml[ml]

Development

Run tests (from /tests) with pytest. Please read the contributor guide to contribute.

FAQs

What is geniml?

Genomic interval toolkit. Visit Snyk Advisor to see a full health score report for geniml, including popularity, security, maintenance & community analysis.

Is geniml popular?

The python package geniml receives a total of 184 weekly downloads. As such, geniml popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is geniml well maintained?

We found indications that geniml maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is geniml safe to use?

While scanning the latest version of geniml, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 20 December-2024, at 14:19 (UTC).

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geniml

Genomic interval toolkit For more information about how to use this package see README

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Package Health Score

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Popularity

Direct Usage Popularity

Security

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Maintenance

Commit Frequency

Community

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Package

Readme

Genomic interval machine learning (geniml)

Installation

To install `geniml` use this commands.

To install Machine learning dependencies use this command:

Development

FAQs

What is geniml?

Is geniml popular?

Is geniml well maintained?

Is geniml safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Genomic interval machine learning (geniml)

Installation

To install geniml use this commands.

To install Machine learning dependencies use this command:

Development

FAQs

What is geniml?

Is geniml popular?

Is geniml well maintained?

Is geniml 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

Fix identified vulnerabilities

Monitor for new issues

To install `geniml` use this commands.