Orange3-Bioinformatics

v4.8.4

Orange Bioinformatics add-on for Orange data mining software package. For more information about how to use this package see README

Latest version published 1 month ago

License: GPL-3.0

PyPI

GitHub

Package Health Score

67 / 100

security
Security review needed
popularity
Small
maintenance
Healthy
community
Sustainable

Popularity

Small

GitHub Stars: 20
Forks: 21
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package Orange3-Bioinformatics, we found that it has been starred 20 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 30, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 14
H
16
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

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Maintenance

Healthy

Commit Frequency

Open Issues: 11
Open PR: 1
Last Release: 1 month ago
Last Commit: 5 months ago

Further analysis of the maintenance status of Orange3-Bioinformatics based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that Orange3-Bioinformatics 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: Yes
Contributors: 20
Funding: Yes

With more than 10 contributors for the Orange3-Bioinformatics repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6

Age: 7 years
Latest Release: 1 month ago
Dependencies: 5 Direct / 104 Total
Versions: 39
Maintainers: 5
Wheels: OS Independent

Readme

Orange3 Bioinformatics

Orange Bioinformatics provides access to publicly available data, like GEO data sets, GO and KEGG. It enables gene enrichment analysis, clustering, classification, gene identification and provides several common visualizations. All features can be combined with other widgets from the Orange data mining framework. See documentation.

Features

Data access

access to GEO data sets
access to GO database
access to KEGG pathways database

Bioinformatics analysis

plot differential gene expression
visualize diagrams of molecular interactions, reactions, and relations
enrich gene sets
cluster analysis

Orange3-Bioinformatics dependencies

genesis-pyapi numpy requests scipy serverfiles

FAQs

What is Orange3-Bioinformatics?

Orange Bioinformatics add-on for Orange data mining software package. Visit Snyk Advisor to see a full health score report for Orange3-Bioinformatics, including popularity, security, maintenance & community analysis.

Is Orange3-Bioinformatics popular?

The python package Orange3-Bioinformatics receives a total of 2,983 weekly downloads. As such, Orange3-Bioinformatics popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is Orange3-Bioinformatics well maintained?

We found that Orange3-Bioinformatics demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is Orange3-Bioinformatics safe to use?

While scanning the latest version of Orange3-Bioinformatics, 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 1 November-2024, at 08:18 (UTC).

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