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fitlins

Fit Linear Models to BIDS Datasets

https://github.com/poldracklab/fitlins

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 5 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    4 of 18 committers (22.2%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary

Keywords from Contributors

bids neuroimaging brainweb brain-imaging fmri fmri-preprocessing workflow-engine dataflow-programming dataflow closember
Last synced: 6 months ago · JSON representation

Repository

Fit Linear Models to BIDS Datasets

Basic Info
Statistics
  • Stars: 76
  • Watchers: 8
  • Forks: 34
  • Open Issues: 91
  • Releases: 23
Created over 8 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Support Zenodo

README.rst 

FitLins - Fitting Linear Models to BIDS Datasets
================================================

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1306215.svg
   :target: https://doi.org/10.5281/zenodo.1306215

.. image:: https://codecov.io/gh/poldracklab/fitlins/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/poldracklab/fitlins

.. image:: https://circleci.com/gh/poldracklab/fitlins.svg?style=svg
   :target: https://circleci.com/gh/poldracklab/fitlins

FitLins is a tool for estimating linear models, defined by the
`BIDS Stats-Models`_ specification proposal, to `BIDS`_-formatted datasets.

FitLins is developed against `fMRIPrep`_-preprocessed datasets, but is intended to
work with any dataset following the `BIDS Derivatives`_ draft specification.

Example models can be found in `examples/models`_ in the main repository and
`FitLins Example Models`_ in the documentation.

This pipeline is developed by the `Poldrack lab at Stanford University
`_ for use at the `Center for Reproducible
Neuroscience (CRN) `_, as well as for
open-source software distribution.

.. _BIDS: https://bids.neuroimaging.io/
.. _`BIDS Stats-Models`: https://bids-standard.github.io/stats-models/
.. _`BIDS Derivatives`: https://bids-specification.readthedocs.io/en/stable/05-derivatives/01-introduction.html
.. _BIDS-Apps: http://bids-apps.neuroimaging.io
.. _fMRIPrep: https://fmriprep.readthedocs.io
.. _`OpenFMRI dataset ds000030`: http://datasets.datalad.org/?dir=/openfmri/ds000030/
.. _Zenodo: https://doi.org/10.5281/zenodo.1306215
.. _examples/models: https://github.com/poldracklab/fitlins/tree/master/examples/models/
.. _`FitLins Example Models`: https://fitlins.readthedocs.io/en/latest/examples/models.html

Owner

  • Name: Poldrack Lab at Stanford
  • Login: poldracklab
  • Kind: organization

GitHub Events

Total
  • Issues event: 3
  • Watch event: 3
  • Delete event: 6
  • Issue comment event: 6
  • Push event: 16
  • Pull request review event: 1
  • Pull request review comment event: 1
  • Pull request event: 16
  • Fork event: 3
  • Create event: 4
Last Year
  • Issues event: 3
  • Watch event: 3
  • Delete event: 6
  • Issue comment event: 6
  • Push event: 16
  • Pull request review event: 1
  • Pull request review comment event: 1
  • Pull request event: 16
  • Fork event: 3
  • Create event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 1,122
  • Total Committers: 18
  • Avg Commits per committer: 62.333
  • Development Distribution Score (DDS): 0.439
Past Year
  • Commits: 6
  • Committers: 2
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.167
Top Committers
Name Email Commits
Christopher J. Markiewicz m****z@s****u 630
Alejandro de la Vega a****4@g****m 217
Dylan Nielson a****e@g****m 115
Shashank Bansal s****6@g****m 69
James Kent j****1@g****m 21
leej3 j****h@g****m 14
dependabot[bot] 4****] 12
Karolina Finc k****c@g****m 9
Adina Wagner a****r@t****e 7
Satrajit Ghosh s****a@m****u 6
Rastko Ciric r****0@m****u 6
Shashank Bansal s****b@n****m 4
john lee l****3 3
Mathias Goncalves g****s@g****m 3
Yaroslav Halchenko d****n@o****m 2
Steven Meisler s****r@g****u 2
isil b****b@g****m 1
Isil Bilgin 4****s 1
Committer Domains (Top 20 + Academic)
g.harvard.edu: 1 onerussian.com: 1 nvidia.com: 1 mymail.pomona.edu: 1 mit.edu: 1 t-online.de: 1 stanford.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 49
  • Total pull requests: 86
  • Average time to close issues: 6 months
  • Average time to close pull requests: 5 months
  • Total issue authors: 19
  • Total pull request authors: 13
  • Average comments per issue: 2.43
  • Average comments per pull request: 1.34
  • Merged pull requests: 51
  • Bot issues: 0
  • Bot pull requests: 27
Past Year
  • Issues: 3
  • Pull requests: 14
  • Average time to close issues: 1 day
  • Average time to close pull requests: 29 days
  • Issue authors: 2
  • Pull request authors: 5
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.14
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 6
View more stats
Top Authors
Issue Authors
  • effigies (13)
  • adelavega (11)
  • smeisler (5)
  • Shotgunosine (2)
  • monique2208 (2)
  • vogelbac (2)
  • coryshain (2)
  • arovai (1)
  • sjshim (1)
  • rwblair (1)
  • bpinsard (1)
  • karl-koschutnig (1)
  • jmumford (1)
  • mateuszpawlik (1)
  • Remi-Gau (1)
Pull Request Authors
  • dependabot[bot] (27)
  • effigies (22)
  • adelavega (11)
  • shashankbansal6 (7)
  • demidenm (4)
  • yarikoptic (3)
  • Shotgunosine (3)
  • jdkent (2)
  • rwblair (2)
  • jmumford (2)
  • satra (1)
  • chrisgorgo (1)
  • smeisler (1)
Top Labels
Issue Labels
enhancement (6) documentation (5) reporting (3) medium impact (3) bug (2) high effort (2) low effort (1) help wanted (1)
Pull Request Labels
dependencies (27) github_actions (6)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 64 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 3
  • Total versions: 20
  • Total maintainers: 1
pypi.org: fitlins

Fit Linear Models to BIDS Datasets

  • Versions: 20
  • Dependent Packages: 0
  • Dependent Repositories: 3
  • Downloads: 64 Last month
Rankings
Forks count: 7.2%
Stargazers count: 8.2%
Dependent repos count: 9.0%
Dependent packages count: 10.0%
Average: 11.3%
Downloads: 22.1%
Maintainers (1)
cjmarkie
Last synced: 6 months ago

Dependencies

.github/workflows/codeql-analysis.yml actions
  • actions/checkout v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
.github/workflows/package.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/workflows.yml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • codecov/codecov-action v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • docker/build-push-action v3 composite
  • docker/login-action v2 composite
  • docker/setup-buildx-action v2 composite
Dockerfile docker
  • neurodebian@sha256 775973d79463e19295eab63807968fc577b188b86c26aed94df0d664ca8ae3c4 build