View csbdeep on Snyk Open Source Advisor

Package Health Score

63 / 100

security
Security review needed
popularity
Small
maintenance
Healthy
community
Limited

Popularity

Small

GitHub Stars: 283
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 283 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

Healthy

Commit Frequency

Open Issues: 21
Open PR: 2
Last Release: 1 month ago
Last Commit: 1 month 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 Healthy.

We found that csbdeep 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: 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: 6 years
Latest Release: 1 month ago
Dependencies: 7 Direct / 14 Total
Versions: 22
Maintainers: 2
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 that csbdeep demonstrated a healthy version release cadence and project activity. It has a community 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 14 November-2024, at 01:11 (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

Ensure you're using the healthiest python packages

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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