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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --extra=container --strip-extras
#
annexremote==1.6.4
# via
# datalad
# datalad-next
# datalad-osf
apscheduler==3.10.4
# via
# fmriprep
# fmriprep (pyproject.toml)
arrow==1.3.0
# via codecarbon
astor==0.8.1
# via formulaic
attrs==23.1.0
# via
# niworkflows
# sdcflows
bids-validator==1.13.1
# via pybids
bokeh==3.3.1
# via tedana
boto==2.49.0
# via datalad
certifi==2023.11.17
# via
# requests
# sentry-sdk
cffi==1.16.0
# via cryptography
chardet==5.2.0
# via datalad
charset-normalizer==3.3.2
# via requests
ci-info==0.3.0
# via
# etelemetry
# migas
click==8.1.7
# via
# codecarbon
# nipype
# pybids
codecarbon==2.3.1
# via
# fmriprep
# fmriprep (pyproject.toml)
contourpy==1.2.0
# via
# bokeh
# matplotlib
cryptography==41.0.7
# via secretstorage
cycler==0.12.1
# via matplotlib
datalad==0.19.4
# via
# datalad-next
# datalad-osf
# fmriprep (pyproject.toml)
datalad-next==1.0.2
# via datalad-osf
datalad-osf==0.3.0
# via fmriprep (pyproject.toml)
distro==1.8.0
# via datalad
docopt==0.6.2
# via num2words
etelemetry==0.3.1
# via nipype
fasteners==0.19
# via datalad
filelock==3.13.1
# via nipype
fonttools==4.45.0
# via matplotlib
formulaic==0.5.2
# via pybids
fuzzywuzzy==0.18.0
# via codecarbon
greenlet==3.0.1
# via sqlalchemy
h5py==3.10.0
# via nitransforms
humanize==4.9.0
# via
# datalad
# datalad-next
idna==3.4
# via requests
imageio==2.33.0
# via scikit-image
importlib-metadata==7.0.0
# via keyring
importlib-resources==6.1.1
# via
# nireports
# niworkflows
# templateflow
indexed-gzip==1.8.7
# via smriprep
interface-meta==1.3.0
# via formulaic
iso8601==2.1.0
# via datalad
isodate==0.6.1
# via rdflib
jaraco-classes==3.3.0
# via
# keyring
# keyrings-alt
jeepney==0.8.0
# via
# keyring
# secretstorage
jinja2==3.1.2
# via
# bokeh
# niworkflows
joblib==1.3.2
# via
# nilearn
# scikit-learn
keyring==24.3.0
# via datalad
keyrings-alt==5.0.0
# via datalad
kiwisolver==1.4.5
# via matplotlib
lazy-loader==0.3
# via scikit-image
lockfile==0.12.2
# via smriprep
looseversion==1.3.0
# via
# datalad
# fmriprep
# fmriprep (pyproject.toml)
# nipype
# niworkflows
# smriprep
lxml==4.9.3
# via
# nilearn
# prov
# svgutils
mapca==0.0.4
# via tedana
markupsafe==2.1.3
# via jinja2
matplotlib==3.8.2
# via
# nireports
# nitime
# niworkflows
# seaborn
# smriprep
# tedana
migas==0.4.0
# via
# fmriprep
# sdcflows
more-itertools==10.1.0
# via jaraco-classes
msgpack==1.0.7
# via datalad
networkx==3.2.1
# via
# nipype
# prov
# scikit-image
nibabel==5.1.0
# via
# fmriprep
# fmriprep (pyproject.toml)
# mapca
# nilearn
# nipype
# nireports
# nitransforms
# niworkflows
# pybids
# sdcflows
# smriprep
# tedana
nilearn==0.10.2
# via
# mapca
# nireports
# niworkflows
# tedana
nipype==1.8.6
# via
# fmriprep
# fmriprep (pyproject.toml)
# nireports
# niworkflows
# sdcflows
# smriprep
nireports==23.2.0
# via
# fmriprep
# fmriprep (pyproject.toml)
nitime==0.10.2
# via
# fmriprep
# fmriprep (pyproject.toml)
nitransforms==23.0.1
# via
# fmriprep
# fmriprep (pyproject.toml)
# niworkflows
# sdcflows
niworkflows==1.10.0
# via
# fmriprep
# fmriprep (pyproject.toml)
# sdcflows
# smriprep
num2words==0.5.13
# via pybids
numpy==1.26.2
# via
# bokeh
# contourpy
# fmriprep
# fmriprep (pyproject.toml)
# formulaic
# h5py
# imageio
# mapca
# matplotlib
# nibabel
# nilearn
# nipype
# nireports
# nitime
# nitransforms
# niworkflows
# pandas
# pybids
# scikit-image
# scikit-learn
# scipy
# sdcflows
# seaborn
# smriprep
# tedana
# tifffile
osfclient==0.0.5
# via datalad-osf
packaging==23.2
# via
# bokeh
# datalad
# etelemetry
# fmriprep
# fmriprep (pyproject.toml)
# matplotlib
# nibabel
# nilearn
# nipype
# niworkflows
# scikit-image
# smriprep
pandas==2.1.3
# via
# bokeh
# codecarbon
# fmriprep
# fmriprep (pyproject.toml)
# formulaic
# nilearn
# nireports
# niworkflows
# pybids
# seaborn
# tedana
patool==2.0.0
# via datalad
pillow==10.1.0
# via
# bokeh
# imageio
# matplotlib
# scikit-image
platformdirs==4.1.0
# via datalad
prometheus-client==0.19.0
# via codecarbon
prov==2.0.0
# via nipype
psutil==5.9.6
# via
# codecarbon
# fmriprep
# fmriprep (pyproject.toml)
py-cpuinfo==9.0.0
# via codecarbon
pybids==0.16.4
# via
# fmriprep
# fmriprep (pyproject.toml)
# nireports
# niworkflows
# sdcflows
# smriprep
# templateflow
pycparser==2.21
# via cffi
pydot==1.4.2
# via nipype
pynvml==11.5.0
# via codecarbon
pyparsing==3.1.1
# via
# matplotlib
# pydot
# rdflib
python-dateutil==2.8.2
# via
# arrow
# matplotlib
# nipype
# pandas
# prov
python-gitlab==4.2.0
# via datalad
pytz==2023.3.post1
# via
# apscheduler
# pandas
pyyaml==6.0.1
# via
# bokeh
# nireports
# niworkflows
# smriprep
rdflib==7.0.0
# via
# nipype
# prov
requests==2.31.0
# via
# codecarbon
# datalad
# etelemetry
# fmriprep
# fmriprep (pyproject.toml)
# nilearn
# osfclient
# python-gitlab
# requests-toolbelt
# templateflow
requests-toolbelt==1.0.0
# via python-gitlab
scikit-image==0.22.0
# via
# niworkflows
# sdcflows
scikit-learn==1.3.2
# via
# mapca
# nilearn
# tedana
scipy==1.11.4
# via
# formulaic
# mapca
# nilearn
# nipype
# nitime
# nitransforms
# niworkflows
# pybids
# scikit-image
# scikit-learn
# sdcflows
# tedana
sdcflows==2.8.0
# via
# fmriprep
# fmriprep (pyproject.toml)
seaborn==0.13.0
# via
# nireports
# niworkflows
secretstorage==3.3.3
# via keyring
sentry-sdk==1.39.0
# via fmriprep
simplejson==3.19.2
# via nipype
six==1.16.0
# via
# apscheduler
# isodate
# osfclient
# python-dateutil
smriprep==0.13.2
# via
# fmriprep
# fmriprep (pyproject.toml)
sqlalchemy==2.0.23
# via pybids
svgutils==0.3.4
# via
# nireports
# niworkflows
tedana==23.0.2
# via
# fmriprep
# fmriprep (pyproject.toml)
templateflow==23.1.0
# via
# fmriprep
# fmriprep (pyproject.toml)
# nireports
# niworkflows
# sdcflows
# smriprep
threadpoolctl==3.2.0
# via
# scikit-learn
# tedana
tifffile==2023.9.26
# via scikit-image
toml==0.10.2
# via
# fmriprep
# sdcflows
tornado==6.3.3
# via bokeh
tqdm==4.66.1
# via
# datalad
# osfclient
# templateflow
traits==6.3.2
# via
# nipype
# niworkflows
# sdcflows
transforms3d==0.4.1
# via niworkflows
types-python-dateutil==2.8.19.14
# via arrow
typing-extensions==4.8.0
# via
# datalad
# formulaic
# sqlalchemy
tzdata==2023.3
# via pandas
tzlocal==5.2
# via apscheduler
urllib3==2.1.0
# via
# requests
# sentry-sdk
wrapt==1.16.0
# via formulaic
xyzservices==2023.10.1
# via bokeh
zipp==3.17.0
# via importlib-metadata