niworkflows | Common workflows for MRI

by nipreps Python Version: 1.10.2 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | niworkflows Summary

niworkflows is a Python library. niworkflows has no vulnerabilities, it has a Permissive License and it has low support. However niworkflows has 4 bugs and it build file is not available. You can install using 'pip install niworkflows' or download it from GitHub, PyPI.

Common workflows for MRI (anatomical, functional, diffusion, etc)

Support

Quality

Security

License

Reuse

Support

niworkflows has a low active ecosystem.

It has 77 star(s) with 45 fork(s). There are 18 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 52 open issues and 166 have been closed. On average issues are closed in 35 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of niworkflows is 1.10.2

Quality

niworkflows has 4 bugs (1 blocker, 0 critical, 2 major, 1 minor) and 145 code smells.

Security

niworkflows has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

niworkflows code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

niworkflows is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

niworkflows releases are available to install and integrate.

Deployable package is available in PyPI.

niworkflows has no build file. You will be need to create the build yourself to build the component from source.

niworkflows saves you 7497 person hours of effort in developing the same functionality from scratch.

It has 15478 lines of code, 547 functions and 90 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed niworkflows and discovered the below as its top functions. This is intended to give you an instant insight into niworkflows implemented functionality, and help decide if they suit your requirements.

Return a dict of cmdclass
Extract the version information from the VCS
Create a ConfigParser from a root directory
Checks if the given space is a reference
Append a new value
Run the pipeline
Return a Path from a subject directory
Ensure value is a list
Insert value at index
Generate a cifti surface plot
Run the interface
Collect data from a directory
Extract the version information
Run the workflow
Generate the visual report
Display two images
Generate a report
Create the versioneer config file
Compute the ICK transform file
Run the model interface
Get a list of all the names of all references in the reference space
Return argument parser
Link to GitHub role
Compare two xforms
Runs the image interface
Concatenate input images
Generate a visual report

Get all kandi verified functions for this library.

niworkflows Key Features

No Key Features are available at this moment for niworkflows.

niworkflows Examples and Code Snippets

No Code Snippets are available at this moment for niworkflows.

Community Discussions

No Community Discussions are available at this moment for niworkflows.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install niworkflows

You can install using 'pip install niworkflows' or download it from GitHub, PyPI.
You can use niworkflows like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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