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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 --resolver=backtracking
#
annexremote==1.6.0
# via
# datalad
# datalad-next
# datalad-osf
apscheduler==3.10.4
# via
# fmriprep
# fmriprep (pyproject.toml)
arrow==1.2.3
# via codecarbon
astor==0.8.1
# via formulaic
attrs==23.1.0
# via
# niworkflows
# sdcflows
bids-validator==1.12.0
# via pybids
bokeh==2.2.3
# via tedana
boto==2.49.0
# via datalad
certifi==2023.7.22
# via
# requests
# sentry-sdk
cffi==1.15.1
# via cryptography
chardet==5.2.0
# via datalad
charset-normalizer==3.2.0
# 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==1.1.0
# via matplotlib
cryptography==41.0.3
# via secretstorage
cycler==0.11.0
# via matplotlib
cython==3.0.0
# via nitime
datalad==0.19.3
# via
# datalad-next
# datalad-osf
# fmriprep (pyproject.toml)
datalad-next==1.0.0b3
# 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==0.3.0
# via nipype
fasteners==0.18
# via datalad
filelock==3.12.2
# via nipype
fonttools==4.42.1
# via matplotlib
formulaic==0.5.2
# via pybids
fuzzywuzzy==0.18.0
# via codecarbon
greenlet==2.0.2
# via sqlalchemy
h5py==3.8.0
# via nitransforms
humanize==4.8.0
# via
# datalad
# datalad-next
idna==3.4
# via requests
imageio==2.31.1
# via scikit-image
importlib-metadata==6.8.0
# via keyring
indexed-gzip==1.8.3
# via smriprep
interface-meta==1.3.0
# via formulaic
iso8601==2.0.0
# 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==3.0.1
# via
# bokeh
# niworkflows
# tedana
joblib==1.3.2
# via
# nilearn
# scikit-learn
keyring==24.2.0
# via datalad
keyrings-alt==5.0.0
# via datalad
kiwisolver==1.4.4
# 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==0.0.3
# via tedana
markupsafe==2.1.3
# via jinja2
matplotlib==3.7.1
# via
# nitime
# niworkflows
# seaborn
# smriprep
# tedana
migas==0.3.0
# via fmriprep
more-itertools==10.1.0
# via jaraco-classes
msgpack==1.0.5
# via datalad
networkx==3.1
# via
# nipype
# nitime
# prov
# scikit-image
nibabel==5.1.0
# via
# fmriprep
# fmriprep (pyproject.toml)
# mapca
# nilearn
# nipype
# nitime
# nitransforms
# niworkflows
# pybids
# sdcflows
# smriprep
# tedana
nilearn==0.10.1
# via
# mapca
# niworkflows
# tedana
nipype==1.8.6
# via
# fmriprep
# fmriprep (pyproject.toml)
# niworkflows
# sdcflows
# smriprep
nitime==0.10.1
# via
# fmriprep
# fmriprep (pyproject.toml)
nitransforms==23.0.1
# via
# fmriprep
# fmriprep (pyproject.toml)
# niworkflows
# sdcflows
niworkflows==1.8.1
# via
# fmriprep
# fmriprep (pyproject.toml)
# sdcflows
# smriprep
num2words==0.5.12
# via pybids
numpy==1.25.2
# via
# bokeh
# contourpy
# fmriprep
# fmriprep (pyproject.toml)
# formulaic
# h5py
# imageio
# mapca
# matplotlib
# nibabel
# nilearn
# nipype
# nitime
# nitransforms
# niworkflows
# pandas
# pybids
# pywavelets
# scikit-image
# scikit-learn
# scipy
# sdcflows
# seaborn
# smriprep
# tedana
# tifffile
osfclient==0.0.5
# via datalad-osf
packaging==23.1
# via
# bokeh
# datalad
# fmriprep
# fmriprep (pyproject.toml)
# matplotlib
# nibabel
# nilearn
# nipype
# niworkflows
# scikit-image
# smriprep
pandas==2.0.3
# via
# codecarbon
# fmriprep
# fmriprep (pyproject.toml)
# formulaic
# nilearn
# niworkflows
# pybids
# seaborn
# tedana
patool==1.12
# via datalad
pillow==10.0.0
# via
# bokeh
# imageio
# matplotlib
# scikit-image
platformdirs==3.10.0
# via datalad
prometheus-client==0.17.1
# via codecarbon
prov==2.0.0
# via nipype
psutil==5.9.5
# via
# codecarbon
# fmriprep
# fmriprep (pyproject.toml)
py-cpuinfo==9.0.0
# via codecarbon
pybids==0.16.3
# via
# fmriprep
# fmriprep (pyproject.toml)
# niworkflows
# sdcflows
# smriprep
# templateflow
pycparser==2.21
# via cffi
pydot==1.4.2
# via nipype
pynvml==11.5.0
# via codecarbon
pyparsing==3.0.9
# via
# matplotlib
# pydot
# rdflib
python-dateutil==2.8.2
# via
# arrow
# bokeh
# matplotlib
# nipype
# pandas
# prov
python-gitlab==3.15.0
# via datalad
pytz==2023.3
# via
# apscheduler
# pandas
pywavelets==1.4.1
# via scikit-image
pyyaml==6.0.1
# via
# bokeh
# 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==0.21.0
# via
# niworkflows
# sdcflows
scikit-learn==1.3.0
# via
# mapca
# nilearn
# tedana
scipy==1.11.2
# via
# formulaic
# mapca
# nilearn
# nipype
# nitime
# nitransforms
# niworkflows
# pybids
# scikit-image
# scikit-learn
# sdcflows
# tedana
sdcflows==2.5.1
# via
# fmriprep
# fmriprep (pyproject.toml)
seaborn==0.12.2
# via niworkflows
secretstorage==3.3.3
# via keyring
sentry-sdk==1.29.2
# via fmriprep
simplejson==3.19.1
# via nipype
six==1.16.0
# via
# apscheduler
# isodate
# osfclient
# python-dateutil
smriprep==0.12.2
# via
# fmriprep
# fmriprep (pyproject.toml)
sqlalchemy==2.0.20
# via pybids
svgutils==0.3.4
# via niworkflows
tedana==23.0.1
# via
# fmriprep
# fmriprep (pyproject.toml)
templateflow==23.0.0
# via
# fmriprep
# fmriprep (pyproject.toml)
# niworkflows
# sdcflows
# smriprep
threadpoolctl==3.2.0
# via
# scikit-learn
# tedana
tifffile==2023.8.12
# via scikit-image
toml==0.10.2
# via
# fmriprep
# fmriprep (pyproject.toml)
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
typing-extensions==4.7.1
# via
# bokeh
# datalad
# formulaic
# sqlalchemy
tzdata==2023.3
# via pandas
tzlocal==5.0.1
# via apscheduler
urllib3==2.0.4
# via
# requests
# sentry-sdk
wrapt==1.15.0
# via formulaic
www-authenticate==0.9.2
# via datalad-next
zipp==3.16.2
# via importlib-metadata