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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
# pip-compile --output-file=requirements.txt pyproject.toml
#
alembic==1.12.1
# via mlflow
awswrangler==3.0.0
# via titanic (pyproject.toml)
blinker==1.7.0
# via flask
boto3==1.26.115
# via awswrangler
botocore==1.29.115
# via
# awswrangler
# boto3
# s3transfer
certifi==2023.11.17
# via requests
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via
# databricks-cli
# flask
# mlflow
cloudpickle==2.2.1
# via mlflow
contourpy==1.2.0
# via matplotlib
cycler==0.12.1
# via matplotlib
databricks-cli==0.18.0
# via mlflow
docker==6.1.3
# via mlflow
entrypoints==0.4
# via mlflow
flask==3.0.0
# via mlflow
fonttools==4.45.1
# via matplotlib
gitdb==4.0.11
# via gitpython
gitpython==3.1.40
# via mlflow
gunicorn==21.2.0
# via mlflow
idna==3.6
# via requests
importlib-metadata==6.8.0
# via
# flask
# markdown
# mlflow
importlib-resources==6.1.1
# via matplotlib
itsdangerous==2.1.2
# via flask
jinja2==3.1.2
# via
# flask
# mlflow
jmespath==1.0.1
# via
# boto3
# botocore
joblib==1.2.0
# via scikit-learn
kiwisolver==1.4.5
# via matplotlib
mako==1.3.0
# via alembic
markdown==3.5.1
# via mlflow
markupsafe==2.1.3
# via
# jinja2
# mako
# werkzeug
matplotlib==3.8.2
# via mlflow
mlflow==2.8.1
# via titanic (pyproject.toml)
numpy==1.24.2
# via
# awswrangler
# contourpy
# matplotlib
# mlflow
# pandas
# pyarrow
# scikit-learn
# scipy
oauthlib==3.2.2
# via databricks-cli
packaging==23.2
# via
# docker
# gunicorn
# matplotlib
# mlflow
pandas==1.5.3
# via
# awswrangler
# mlflow
# titanic (pyproject.toml)
pillow==10.1.0
# via matplotlib
protobuf==4.25.1
# via mlflow
pyarrow==11.0.0
# via
# awswrangler
# mlflow
pyjwt==2.8.0
# via databricks-cli
pyparsing==3.1.1
# via matplotlib
python-dateutil==2.8.2
# via
# botocore
# matplotlib
# pandas
python-dotenv==1.0.0
# via titanic (pyproject.toml)
pytz==2023.3
# via
# mlflow
# pandas
pyyaml==6.0.1
# via mlflow
querystring-parser==1.2.4
# via mlflow
requests==2.31.0
# via
# databricks-cli
# docker
# mlflow
s3transfer==0.6.0
# via boto3
scikit-learn==1.2.2
# via
# mlflow
# titanic (pyproject.toml)
scipy==1.10.1
# via
# mlflow
# scikit-learn
six==1.16.0
# via
# databricks-cli
# python-dateutil
# querystring-parser
smmap==5.0.1
# via gitdb
sqlalchemy==2.0.23
# via
# alembic
# mlflow
sqlparse==0.4.4
# via mlflow
tabulate==0.9.0
# via databricks-cli
threadpoolctl==3.1.0
# via scikit-learn
typing-extensions==4.5.0
# via
# alembic
# awswrangler
# sqlalchemy
urllib3==1.26.15
# via
# botocore
# databricks-cli
# docker
# requests
websocket-client==1.6.4
# via docker
werkzeug==3.0.1
# via flask
zipp==3.17.0
# via
# importlib-metadata
# importlib-resources