View csbdeep on Snyk Open Source Advisor

Package Health Score

63 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Sustainable

Popularity

Small

GitHub Stars: 287
Forks: 82
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package csbdeep, we found that it has been starred 287 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 5, 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

BSD-3-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 22
Open PR: 2
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that csbdeep 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: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: >=3.6

Age: 7 years
Latest Release: 3 months ago
Dependencies: 7 Direct / 14 Total
Versions: 22
Maintainers: 0
Wheels: OS Independent

Not sure how to use csbdeep?

To help you get started, we've collected the most common ways that csbdeep is being used within popular public projects.

CSBDeep / CSBDeep / tests / test_models.py View on Github

def _predict(imdims,axes):
        img = rng.uniform(size=imdims)
        if config.probabilistic:
            prob = model.predict_probabilistic(img, axes, factor, None, None)
            mean, scale = prob.mean(), prob.scale()
            assert mean.shape == scale.shape
        else:
            mean = model.predict(img, axes, factor, None, None)
        a = axes_dict(axes)['Z']
        assert imdims[a]*factor == mean.shape[a]

View more ways to use csbdeep

csbdeep dependencies

matplotlib numpy packaging scipy six tifffile tqdm

FAQs

What is csbdeep?

CSBDeep - a toolbox for Content-aware Image Restoration (CARE). Visit Snyk Advisor to see a full health score report for csbdeep, including popularity, security, maintenance & community analysis.

Is csbdeep popular?

The python package csbdeep receives a total of 3,956 weekly downloads. As such, csbdeep popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is csbdeep well maintained?

We found indications that csbdeep maintenance is sustainable demonstrating some project activity. We saw a total of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is csbdeep safe to use?

While scanning the latest version of csbdeep, 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 23 December-2024, at 03:46 (UTC).

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csbdeep

CSBDeep - a toolbox for Content-aware Image Restoration (CARE) For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Not sure how to use csbdeep?

CSBDeep – a toolbox for CARE

csbdeep dependencies

FAQs

What is csbdeep?

Is csbdeep popular?

Is csbdeep well maintained?

Is csbdeep 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

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

Not sure how to use csbdeep?

CSBDeep – a toolbox for CARE

csbdeep dependencies

FAQs

What is csbdeep?

Is csbdeep popular?

Is csbdeep well maintained?

Is csbdeep safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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