biomed-research/requirements.txt at main · sarapradhan/biomed-research · GitHub

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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    pip-compile --output-file=requirements.txt pyproject.toml
#
acres==0.5.0
    # via bidsschematools
bids-validator==1.14.7.post0
    # via pybids
bidsschematools==1.2.2
    # via
    #   bids-validator
    #   pybids
certifi==2026.4.22
    # via requests
charset-normalizer==3.4.7
    # via requests
click==8.3.3
    # via
    #   bidsschematools
    #   pybids
contourpy==1.3.2
    # via matplotlib
cycler==0.12.1
    # via matplotlib
docopt==0.6.2
    # via num2words
fonttools==4.62.1
    # via matplotlib
formulaic==1.2.1
    # via pybids
frozendict==2.4.7
    # via pybids
fsspec==2026.3.0
    # via universal-pathlib
greenlet==3.4.0
    # via sqlalchemy
idna==3.13
    # via requests
importlib-resources==7.1.0
    # via nibabel
interface-meta==2.0.0
    # via formulaic
jinja2==3.1.6
    # via nilearn
joblib==1.5.3
    # via
    #   fmri-pipeline (pyproject.toml)
    #   nilearn
    #   scikit-learn
kiwisolver==1.5.0
    # via matplotlib
markupsafe==3.0.3
    # via jinja2
matplotlib==3.10.9
    # via fmri-pipeline (pyproject.toml)
narwhals==2.20.0
    # via formulaic
networkx==3.4.2
    # via fmri-pipeline (pyproject.toml)
nibabel==5.4.2
    # via
    #   fmri-pipeline (pyproject.toml)
    #   nilearn
    #   pybids
nilearn==0.13.1
    # via fmri-pipeline (pyproject.toml)
num2words==0.5.14
    # via pybids
numpy==2.2.6
    # via
    #   contourpy
    #   fmri-pipeline (pyproject.toml)
    #   formulaic
    #   matplotlib
    #   nibabel
    #   nilearn
    #   pandas
    #   patsy
    #   pybids
    #   scikit-learn
    #   scipy
    #   statsmodels
packaging==26.2
    # via
    #   matplotlib
    #   nibabel
    #   nilearn
    #   statsmodels
pandas==2.3.3
    # via
    #   fmri-pipeline (pyproject.toml)
    #   formulaic
    #   nilearn
    #   pybids
    #   statsmodels
pathlib-abc==0.5.2
    # via universal-pathlib
patsy==1.0.2
    # via statsmodels
pillow==12.2.0
    # via matplotlib
pybids==0.22.0
    # via fmri-pipeline (pyproject.toml)
pyparsing==3.3.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytz==2026.1.post1
    # via pandas
pyyaml==6.0.3
    # via
    #   bidsschematools
    #   fmri-pipeline (pyproject.toml)
requests==2.33.1
    # via nilearn
scikit-learn==1.7.2
    # via
    #   fmri-pipeline (pyproject.toml)
    #   nilearn
scipy==1.15.3
    # via
    #   fmri-pipeline (pyproject.toml)
    #   formulaic
    #   nilearn
    #   pybids
    #   scikit-learn
    #   statsmodels
six==1.17.0
    # via python-dateutil
sqlalchemy==2.0.49
    # via pybids
statsmodels==0.14.6
    # via fmri-pipeline (pyproject.toml)
threadpoolctl==3.6.0
    # via scikit-learn
typing-extensions==4.15.0
    # via
    #   formulaic
    #   nibabel
    #   sqlalchemy
tzdata==2026.2
    # via pandas
universal-pathlib==0.3.10
    # via pybids
urllib3==2.6.3
    # via requests
wrapt==2.1.2
    # via formulaic