Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
62 of 257 committers (24.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.6%) to scientific vocabulary
Keywords
big-data
brain-imaging
brainweb
data-science
dataflow
dataflow-programming
neuroimaging
python
workflow-engine
Keywords from Contributors
bids
fmri
fmri-preprocessing
closember
neuroscience
quality-reporter
quality-control
mri
eeg
prediction
Last synced: 6 months ago
·
JSON representation
Repository
Workflows and interfaces for neuroimaging packages
Basic Info
- Host: GitHub
- Owner: nipy
- License: other
- Language: Python
- Default Branch: master
- Homepage: https://nipype.readthedocs.org/en/latest/
- Size: 75.6 MB
Statistics
- Stars: 792
- Watchers: 49
- Forks: 536
- Open Issues: 431
- Releases: 49
Topics
big-data
brain-imaging
brainweb
data-science
dataflow
dataflow-programming
neuroimaging
python
workflow-engine
Created over 15 years ago
· Last pushed 6 months ago
Metadata Files
Readme
Contributing
License
Code of conduct
Zenodo
README.rst
========================================================
NIPYPE: Neuroimaging in Python: Pipelines and Interfaces
========================================================
.. image:: https://travis-ci.org/nipy/nipype.svg?branch=master
:target: https://travis-ci.org/nipy/nipype
.. image:: https://circleci.com/gh/nipy/nipype/tree/master.svg?style=svg
:target: https://circleci.com/gh/nipy/nipype/tree/master
.. image:: https://codecov.io/gh/nipy/nipype/branch/master/graph/badge.svg
:target: https://codecov.io/gh/nipy/nipype
.. image:: https://api.codacy.com/project/badge/Grade/452bfc0d4de342c99b177d2c29abda7b
:target: https://www.codacy.com/app/nipype/nipype?utm_source=github.com&utm_medium=referral&utm_content=nipy/nipype&utm_campaign=Badge_Grade
.. image:: https://img.shields.io/pypi/v/nipype.svg
:target: https://pypi.python.org/pypi/nipype/
:alt: Latest Version
.. image:: https://img.shields.io/pypi/pyversions/nipype.svg
:target: https://pypi.python.org/pypi/nipype/
:alt: Supported Python versions
.. image:: https://img.shields.io/pypi/status/nipype.svg
:target: https://pypi.python.org/pypi/nipype/
:alt: Development Status
.. image:: https://img.shields.io/pypi/l/nipype.svg
:target: https://pypi.python.org/pypi/nipype/
:alt: License
.. image:: https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-brightgreen.svg?style=flat
:target: http://gitter.im/nipy/nipype
:alt: Chat
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596855.svg
:target: https://doi.org/10.5281/zenodo.596855
:alt: Citable DOI
Current neuroimaging software offer users an incredible opportunity to
analyze data using a variety of different algorithms. However, this has
resulted in a heterogeneous collection of specialized applications
without transparent interoperability or a uniform operating interface.
*Nipype*, an open-source, community-developed initiative under the
umbrella of NiPy, is a Python project that provides a uniform interface
to existing neuroimaging software and facilitates interaction between
these packages within a single workflow. Nipype provides an environment
that encourages interactive exploration of algorithms from different
packages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer, ANTS), eases the
design of workflows within and between packages, and reduces the
learning curve necessary to use different packages. Nipype is creating a
collaborative platform for neuroimaging software development in a
high-level language and addressing limitations of existing pipeline
systems.
*Nipype* allows you to:
* easily interact with tools from different software packages
* combine processing steps from different software packages
* develop new workflows faster by reusing common steps from old ones
* process data faster by running it in parallel on many cores/machines
* make your research easily reproducible
* share your processing workflows with the community
Documentation
-------------
Please see the ``doc/README.txt`` document for information on our
documentation.
Website
-------
Information specific to Nipype is located here::
http://nipy.org/nipype
Python 2 Statement
------------------
Python 2.7 reaches its end-of-life in January 2020, which means it will
*no longer be maintained* by Python developers. `Many projects
`__ are removing support in advance of this
deadline, which will make it increasingly untenable to try to support
Python 2, even if we wanted to.
The final series with 2.7 support is 1.3.x. If you have a package using
Python 2 and are unable or unwilling to upgrade to Python 3, then you
should use the following `dependency
`__ for
Nipype::
nipype<1.4
Bug fixes will be accepted against the ``maint/1.3.x`` branch.
Support and Communication
-------------------------
If you have a problem or would like to ask a question about how to do something in Nipype please open an issue to
`NeuroStars.org `_ with a *nipype* tag. `NeuroStars.org `_ is a
platform similar to StackOverflow but dedicated to neuroinformatics.
To participate in the Nipype development related discussions please use the following mailing list::
http://mail.python.org/mailman/listinfo/neuroimaging
Please add *[nipype]* to the subject line when posting on the mailing list.
You can even hangout with the Nipype developers in their
`Gitter `_ channel or in the BrainHack `Slack `_ channel. (Click `here `_ to join the Slack workspace.)
Contributing to the project
---------------------------
If you'd like to contribute to the project please read our `guidelines `_. Please also read through our `code of conduct `_.
Owner
- Name: NIPY developers
- Login: nipy
- Kind: organization
- Website: http://nipy.org
- Repositories: 38
- Profile: https://github.com/nipy
GitHub Events
Total
- Create event: 16
- Release event: 5
- Issues event: 20
- Watch event: 47
- Delete event: 10
- Issue comment event: 79
- Push event: 31
- Pull request review comment event: 25
- Pull request review event: 29
- Pull request event: 58
- Fork event: 13
Last Year
- Create event: 16
- Release event: 5
- Issues event: 20
- Watch event: 47
- Delete event: 10
- Issue comment event: 79
- Push event: 31
- Pull request review comment event: 25
- Pull request review event: 29
- Pull request event: 58
- Fork event: 13
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Satrajit Ghosh | s****h@g****m | 2,244 |
| Oscar Esteban | c****e@o****s | 1,529 |
| Krzysztof J. Gorgolewski | k****i@g****m | 1,520 |
| Christopher J. Markiewicz | e****s@g****m | 1,097 |
| Christopher Burns | c****s@b****u | 464 |
| Mathias Goncalves | g****s@g****m | 277 |
| Dorota Jarecka | d****a@g****m | 241 |
| Erik Ziegler | e****d@g****m | 221 |
| Shoshana Berleant | b****t@s****u | 206 |
| David Ellis | d****0@g****m | 199 |
| Cindee Madison | c****e@b****u | 181 |
| Michael Waskom | m****m@g****m | 163 |
| Michael Philipp Notter | m****r@h****m | 141 |
| Basille Pinsard | b****d@u****a | 139 |
| Alexandre M. Savio | a****o@g****m | 124 |
| Daniel Clark | d****7@g****m | 113 |
| Yaroslav Halchenko | d****n@o****m | 102 |
| Dav Clark | d****k@b****u | 102 |
| Fred Loney | l****f@o****u | 90 |
| Kesshi Jordan | K****n@u****u | 86 |
| Martin Norgaard | m****d@n****k | 76 |
| Michael Dayan | m****h@g****m | 75 |
| Salma Bougacha | s****a@h****m | 63 |
| Hans Johnson | h****n@u****u | 61 |
| Blake Dewey | b****y@j****u | 55 |
| Benjamin Yvernault | b****t@g****m | 54 |
| Horea Christian | h****t@y****m | 51 |
| Carlo Hamalainen | c****o@c****t | 50 |
| Ben Cipollini | b****i@c****g | 50 |
| Taylor Salo | t****6@f****u | 49 |
| and 227 more... | ||
Committer Domains (Top 20 + Academic)
berkeley.edu: 5
mit.edu: 5
inria.fr: 4
fiu.edu: 4
uiowa.edu: 4
ucl.ac.uk: 2
dartmouth.edu: 2
flywheel.io: 2
icm-institute.org: 2
gmx.de: 2
cea.fr: 2
nih.gov: 2
childrens.harvard.edu: 2
stanford.edu: 2
cbs.mpg.de: 2
uniklinikum-dresden.de: 1
charite.de: 1
mcw.edu: 1
mail.tau.ac.il: 1
cornell.edu: 1
uw.edu: 1
uni-heidelberg.de: 1
umassmed.edu: 1
mail.utexas.edu: 1
sydney.edu.au: 1
cs.washington.edu: 1
mymail.pomona.edu: 1
jhu.edu: 1
ucsf.edu: 1
ohsu.edu: 1
tuebingen.mpg.de: 1
wisc.edu: 1
vu.nl: 1
nmr.mgh.harvard.edu: 1
univ-amu.fr: 1
wustl.edu: 1
birch.pst.ed.ac.uk: 1
mcgill.ca: 1
mailbox.tu-berlin.de: 1
newcastle.edu.au: 1
mail.nih.gov: 1
cam.ac.uk: 1
mailbox.tu-dresden.de: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 126
- Total pull requests: 184
- Average time to close issues: 8 months
- Average time to close pull requests: 9 months
- Total issue authors: 82
- Total pull request authors: 55
- Average comments per issue: 2.1
- Average comments per pull request: 2.27
- Merged pull requests: 125
- Bot issues: 0
- Bot pull requests: 16
Past Year
- Issues: 16
- Pull requests: 54
- Average time to close issues: 6 days
- Average time to close pull requests: 9 days
- Issue authors: 14
- Pull request authors: 13
- Average comments per issue: 1.75
- Average comments per pull request: 1.37
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 5
Top Authors
Issue Authors
- effigies (7)
- GalKepler (6)
- JohannesWiesner (6)
- TheChymera (5)
- oesteban (4)
- yarikoptic (4)
- mnoergaard (4)
- zachlindsey (3)
- mauriliogenovese (3)
- fladd (3)
- lamaresh (3)
- lukevano (2)
- sulantha2006 (2)
- man-shu (2)
- stepantikhomirov (2)
Pull Request Authors
- DimitriPapadopoulos (43)
- effigies (41)
- dependabot[bot] (19)
- mauriliogenovese (16)
- GalKepler (6)
- zachlindsey (6)
- mgxd (5)
- yarikoptic (5)
- mnoergaard (5)
- hjmjohnson (4)
- shnizzedy (3)
- TheChymera (3)
- salma1601 (3)
- manuegrx (3)
- hstojic (2)
Top Labels
Issue Labels
help-wanted (4)
bug (3)
good-first-issue (2)
nipype 2.0 (1)
doc (1)
discussion (1)
enhancement (1)
question (1)
faq (1)
Pull Request Labels
dependency (16)
orphaned (3)
dependencies (3)
github_actions (3)
bug (2)
0 - Backlog (2)
2 - Working <= 5 (2)
in-progress (2)
nipype 2.0 (2)
1 - Ready (2)
blocked (1)
maintenance (1)
Packages
- Total packages: 5
-
Total downloads:
- pypi 353,495 last-month
- Total docker downloads: 20,836
-
Total dependent packages: 49
(may contain duplicates) -
Total dependent repositories: 1,112
(may contain duplicates) - Total versions: 123
- Total maintainers: 6
pypi.org: nipype
Neuroimaging in Python: Pipelines and Interfaces
- Homepage: http://nipy.org/nipype
- Documentation: https://nipype.readthedocs.io/
- License: Apache License, 2.0
-
Latest release: 1.10.0
published 11 months ago
Rankings
Dependent packages count: 0.3%
Dependent repos count: 0.3%
Average: 0.7%
Downloads: 1.1%
Docker downloads count: 1.2%
Last synced:
6 months ago
proxy.golang.org: github.com/nipy/nipype
- Documentation: https://pkg.go.dev/github.com/nipy/nipype#section-documentation
- License: other
-
Latest release: v1.0.0
published about 8 years ago
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced:
6 months ago
spack.io: py-nipype
Neuroimaging in Python: Pipelines and Interfaces.
- Homepage: https://github.com/nipy/nipype
- License: []
-
Latest release: 1.8.6
published almost 3 years ago
Rankings
Dependent repos count: 0.0%
Forks count: 3.9%
Average: 7.9%
Stargazers count: 8.8%
Dependent packages count: 19.0%
Maintainers (1)
Last synced:
6 months ago
pypi.org: nipype-ancp
Neuroimaging in Python: Pipelines and Interfaces
- Homepage: http://nipy.org/nipype
- Documentation: https://nipype-ancp.readthedocs.io/
- License: Apache License, 2.0
-
Latest release: 0.1.0
published 7 months ago
Rankings
Forks count: 3.0%
Stargazers count: 3.3%
Dependent packages count: 8.7%
Average: 16.0%
Dependent repos count: 49.2%
Maintainers (1)
Last synced:
6 months ago
conda-forge.org: nipype
- Homepage: https://github.com/nipy/nipype
- License: Apache-2.0
-
Latest release: 1.8.5
published over 3 years ago
Rankings
Forks count: 7.4%
Dependent repos count: 14.8%
Stargazers count: 15.4%
Average: 16.7%
Dependent packages count: 29.0%
Last synced:
6 months ago
Dependencies
.github/workflows/contrib.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- codecov/codecov-action v3 composite
.github/workflows/tests.yml
actions
- actions/checkout v3 composite
- actions/download-artifact v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- codecov/codecov-action v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
doc/requirements.txt
pypi
- dipy *
- ipython *
- matplotlib *
- nbsphinx *
- niflow-nipype1-workflows *
- sphinx >=2.1.2
- sphinx-argparse *
- sphinxcontrib-apidoc *
- sphinxcontrib-napoleon *
requirements.txt
pypi
- click >=6.6.0
- etelemetry >=0.2.0
- filelock >=3.0.0
- networkx >=2.0
- nibabel >=2.1.0
- numpy >=1.13
- numpy >=1.15.3
- packaging *
- prov >=1.5.2
- pydot >=1.2.3
- python-dateutil >=2.2
- rdflib >=5.0.0
- scipy >=0.14
- simplejson >=3.8.0
- traits >=4.6,
.github/workflows/codespell.yml
actions
- actions/checkout v3 composite
- codespell-project/actions-codespell v1 composite