niworkflows

v1.11.0

NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain. For more information about how to use this package see README

Latest version published 4 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

76 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 87
Forks: 52
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package niworkflows, we found that it has been starred 87 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 31, 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

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like niworkflows is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 59
Open PR: 8
Last Release: 4 months ago
Last Commit: 3 months ago

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

We found that niworkflows 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: No
Code of Conduct: Yes
Contributors: 30
Funding: No

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

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Package

Python Versions Compatibility: >=3.8

Age: 8 years
Latest Release: 4 months ago
Dependencies: 12 Direct
Versions: 207
Maintainers: 5
Wheels: OS Independent

Not sure how to use niworkflows?

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

nipreps / dmriprep / test_docs / api / dmriprep-workflows-base-2.py View on Github

wf = init_single_subject_wf(
    anat_only=False,
    debug=False,
    force_syn=True,
    freesurfer=True,
    hires=True,
    ignore=[],
    layout=BIDSLayout('.'),
    longitudinal=False,
    low_mem=False,
    name='single_subject_wf',
    omp_nthreads=1,
    output_dir='.',
    reportlets_dir='.',
    skull_strip_fixed_seed=False,
    skull_strip_template=Reference('OASIS30ANTs'),
    spaces=SpatialReferences(
        spaces=['MNI152Lin',
                ('fsaverage', {'density': '10k'}),
                'T1w',
                'fsnative'],
        checkpoint=True),
    subject_id='test',
    use_syn=True,
)

View more ways to use niworkflows

niworkflows dependencies

acres attrs jinja2 looseversion numpy packaging pandas pyyaml scikit-image scipy seaborn transforms3d

FAQs

What is niworkflows?

NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain. Visit Snyk Advisor to see a full health score report for niworkflows, including popularity, security, maintenance & community analysis.

Is niworkflows popular?

The python package niworkflows receives a total of 5,750 weekly downloads. As such, niworkflows popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is niworkflows well maintained?

We found that niworkflows demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is niworkflows safe to use?

The python package niworkflows 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 14 November-2024, at 15:10 (UTC).

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niworkflows

NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain. For more information about how to use this package see README

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Package

Not sure how to use niworkflows?

NeuroImaging workflows (NiWorkflows): robust processing tools for MRI data

niworkflows dependencies

FAQs

What is niworkflows?

Is niworkflows popular?

Is niworkflows well maintained?

Is niworkflows 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

Not sure how to use niworkflows?

NeuroImaging workflows (NiWorkflows): robust processing tools for MRI data

niworkflows dependencies

FAQs

What is niworkflows?

Is niworkflows popular?

Is niworkflows well maintained?

Is niworkflows 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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