Package Health Score

93 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 6.07K
Forks: 2.22K
Contributors: 360

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package scikit-image, we found that it has been starred 6,069 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 18, 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

MIT

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 572
Open PR: 238
Last Release: 5 months ago
Last Commit: 18 days ago

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

We found that scikit-image 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 360
Funding: Yes

A good and healthy external contribution signal for scikit-image project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.9

Age: 12 years
Latest Release: 1 month ago
Dependencies: 0 Direct
Versions: 61
Maintainers: 3
Wheels: Linux, macOS, Windows

Readme

scikit-image: Image processing in Python

Website (including documentation): https://scikit-image.org/
Documentation: https://scikit-image.org/docs/stable/
User forum: https://forum.image.sc/tag/scikit-image
Developer forum: https://discuss.scientific-python.org/c/contributor/skimage
Source: https://github.com/scikit-image/scikit-image

Installation

pip: pip install scikit-image
conda: conda install -c conda-forge scikit-image

Also see installing scikit-image.

License

See LICENSE.txt.

Citation

If you find this project useful, please cite:

Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, and the scikit-image contributors. scikit-image: Image processing in Python. PeerJ 2:e453 (2014) https://doi.org/10.7717/peerj.453

FAQs

What is scikit-image?

Image processing in Python. Visit Snyk Advisor to see a full health score report for scikit-image, including popularity, security, maintenance & community analysis.

Is scikit-image popular?

The python package scikit-image receives a total of 4,376,997 weekly downloads. As such, scikit-image popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is scikit-image well maintained?

We found indications that scikit-image maintenance is sustainable demonstrating some project activity. We saw a total of 360 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is scikit-image safe to use?

The python package scikit-image 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 10 November-2024, at 08:19 (UTC).

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scikit-image

Image processing in Python For more information about how to use this package see README

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Package

Readme

scikit-image: Image processing in Python

Installation

License

Citation

FAQs

What is scikit-image?

Is scikit-image popular?

Is scikit-image well maintained?

Is scikit-image safe to use?

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Check your requirements.txt

Snyk Vulnerability Scanner

Readme

scikit-image: Image processing in Python

Installation

License

Citation

FAQs

What is scikit-image?

Is scikit-image popular?

Is scikit-image well maintained?

Is scikit-image 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

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