View nipype on Snyk Open Source Advisor

Package Health Score

71 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Active

Popularity

Popular

GitHub Stars: 730
Forks: 519
Contributors: 210

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nipype, we found that it has been starred 730 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 6, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
1
M
3
L
License Risk: 0
H
1
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 nipype is missing a security policy.

A security vulnerability was detected in an indirect dependency that is added to your project when the latest version of nipype is installed.

We highly advise you to review these security issues.

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Maintenance

Inactive

Commit Frequency

Open Issues: 391
Open PR: 28
Last Release: 1 year ago
Last Commit: 26 days ago

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

An important project maintenance signal to consider for nipype is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: 210
Funding: No

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

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Package

Python Versions Compatibility: >= 3.7

Age: 13 years
Latest Release: 1 year ago
Dependencies: 15 Direct / 29 Total
Versions: 64
Maintainers: 4
Wheels: OS Independent

Not sure how to use nipype?

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

aramis-lab / clinica / clinica / pipeline / preproc / DWI_corrections.py View on Github

def apply_all_corrections(datasink_directory, name='UnwarpArtifacts'):
    """
    Combines two lists of linear transforms with the deformation field
    map obtained epi_correction by Ants.
    Additionally, computes the corresponding bspline coefficients and
    the map of determinants of the jacobian.
    """
        
    inputnode = pe.Node(niu.IdentityInterface(
        fields=['in_epi', 'in_hmc','in_ecc', 'in_dwi', 'T1']), name='inputnode')
    outputnode = pe.Node(niu.IdentityInterface(
        fields=['out_file', 'out_warp', 'out_coeff', 'out_jacobian']),
        name='outputnode')
        
    split = pe.Node(fsl.Split(dimension='t'), name='SplitDWIs')
                
    concat_hmc_ecc = pe.MapNode(fsl.ConvertXFM(), name="concat_hmc_ecc", iterfield=['in_file', 'in_file2'])
    concat_hmc_ecc.inputs.concat_xfm = True
    
    warps = pe.MapNode(fsl.ConvertWarp(), iterfield=['premat'], name='ConvertWarp')
    
    unwarp = pe.MapNode(interface=fsl.ApplyWarp(), iterfield=['in_file', 'field_file'],name='unwarp_warp')
    unwarp.inputs.interp = 'spline'

    coeffs = pe.MapNode(fsl.WarpUtils(out_format='spline'),

View more ways to use nipype

nipype dependencies

click etelemetry filelock looseversion networkx nibabel numpy packaging prov pydot python-dateutil rdflib scipy simplejson traits

FAQs

What is nipype?

Neuroimaging in Python: Pipelines and Interfaces. Visit Snyk Advisor to see a full health score report for nipype, including popularity, security, maintenance & community analysis.

Is nipype popular?

The python package nipype receives a total of 45,452 weekly downloads. As such, nipype popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nipype well maintained?

We found indications that nipype is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is nipype safe to use?

While scanning the latest version of nipype, we found that a security review is needed. A total of 4 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 16 April-2024, at 01:50 (UTC).

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nipype

Neuroimaging in Python: Pipelines and Interfaces For more information about how to use this package see README

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Package Health Score

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Security

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Community

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Not sure how to use nipype?

NIPYPE: Neuroimaging in Python: Pipelines and Interfaces

nipype dependencies

FAQs

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Is nipype safe to use?

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Package Health Score

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Commit Frequency

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NIPYPE: Neuroimaging in Python: Pipelines and Interfaces

nipype dependencies

FAQs

What is nipype?

Is nipype popular?

Is nipype well maintained?

Is nipype safe to use?

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Source Code

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