requirements.lock

#
# This file is autogenerated by pip-compile with Python 3.13
# by the following command:
#
#    pip-compile --no-emit-index-url --output-file=requirements.lock --strip-extras requirements.txt
#
a2wsgi==1.10.10
    # via bentoml
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.5
    # via
    #   aiohttp-asgi-connector
    #   bentoml
    #   fsspec
    #   mlflow
aiohttp-asgi-connector==1.1.2
    # via bentoml
aiosignal==1.4.0
    # via aiohttp
aiosqlite==0.22.1
    # via bentoml
alembic==1.18.4
    # via mlflow
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   httpx
    #   httpx-ws
    #   starlette
    #   watchfiles
asgiref==3.11.1
    # via opentelemetry-instrumentation-asgi
attrs==26.1.0
    # via
    #   aiohttp
    #   bentoml
    #   cattrs
bentoml==1.4.38
    # via -r requirements.txt
black==26.3.1
    # via -r requirements.txt
blinker==1.9.0
    # via flask
cachetools==7.0.5
    # via
    #   mlflow-skinny
    #   mlflow-tracing
cattrs==23.1.2
    # via bentoml
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0
    # via cryptography
charset-normalizer==3.4.7
    # via requests
click==8.3.2
    # via
    #   bentoml
    #   black
    #   click-option-group
    #   flask
    #   mlflow-skinny
    #   rich-toolkit
    #   typer
    #   uvicorn
click-option-group==0.5.9
    # via bentoml
cloudpickle==3.1.2
    # via
    #   bentoml
    #   mlflow-skinny
contourpy==1.3.3
    # via matplotlib
cryptography==46.0.7
    # via
    #   google-auth
    #   mlflow
cycler==0.12.1
    # via matplotlib
databricks-sdk==0.102.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
datasets==4.8.4
    # via -r requirements.txt
dill==0.4.1
    # via
    #   datasets
    #   multiprocess
docker==7.1.0
    # via mlflow
fastapi==0.135.3
    # via
    #   -r requirements.txt
    #   mlflow-skinny
filelock==3.25.2
    # via
    #   datasets
    #   huggingface-hub
    #   torch
flask==3.1.3
    # via
    #   flask-cors
    #   mlflow
flask-cors==6.0.2
    # via mlflow
fonttools==4.62.1
    # via matplotlib
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.2.0
    # via
    #   bentoml
    #   datasets
    #   huggingface-hub
    #   torch
gitdb==4.0.12
    # via gitpython
gitpython==3.1.46
    # via mlflow-skinny
google-auth==2.49.2
    # via databricks-sdk
graphene==3.4.3
    # via mlflow
graphql-core==3.2.8
    # via
    #   graphene
    #   graphql-relay
graphql-relay==3.2.0
    # via graphene
gunicorn==25.3.0
    # via mlflow
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
    #   wsproto
hf-xet==1.4.3
    # via huggingface-hub
httpcore==1.0.9
    # via
    #   httpx
    #   httpx-ws
httpx==0.28.1
    # via
    #   bentoml
    #   datasets
    #   httpx-ws
    #   huggingface-hub
httpx-ws==0.9.0
    # via bentoml
huey==2.6.0
    # via mlflow
huggingface-hub==1.10.1
    # via
    #   datasets
    #   tokenizers
    #   transformers
idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
importlib-metadata==8.7.1
    # via
    #   mlflow-skinny
    #   opentelemetry-api
iniconfig==2.3.0
    # via pytest
itsdangerous==2.2.0
    # via flask
jinja2==3.1.6
    # via
    #   bentoml
    #   flask
    #   torch
joblib==1.5.3
    # via scikit-learn
kantoku==0.18.3
    # via bentoml
kiwisolver==1.5.0
    # via matplotlib
mako==1.3.10
    # via alembic
markdown-it-py==4.0.0
    # via rich
markupsafe==3.0.3
    # via
    #   flask
    #   jinja2
    #   mako
    #   werkzeug
matplotlib==3.10.8
    # via mlflow
mdurl==0.1.2
    # via markdown-it-py
mlflow==3.11.1
    # via -r requirements.txt
mlflow-skinny==3.11.1
    # via mlflow
mlflow-tracing==3.11.1
    # via mlflow
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.19
    # via datasets
mypy-extensions==1.1.0
    # via black
networkx==3.6.1
    # via torch
numpy==2.4.4
    # via
    #   -r requirements.txt
    #   bentoml
    #   contourpy
    #   datasets
    #   matplotlib
    #   mlflow
    #   pandas
    #   scikit-learn
    #   scipy
    #   skops
    #   torchvision
    #   transformers
nvidia-ml-py==13.595.45
    # via bentoml
opentelemetry-api==1.41.0
    # via
    #   bentoml
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-instrumentation
    #   opentelemetry-instrumentation-aiohttp-client
    #   opentelemetry-instrumentation-asgi
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
opentelemetry-instrumentation==0.62b0
    # via
    #   bentoml
    #   opentelemetry-instrumentation-aiohttp-client
    #   opentelemetry-instrumentation-asgi
opentelemetry-instrumentation-aiohttp-client==0.62b0
    # via bentoml
opentelemetry-instrumentation-asgi==0.62b0
    # via bentoml
opentelemetry-proto==1.41.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-sdk==1.41.0
    # via
    #   bentoml
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-semantic-conventions==0.62b0
    # via
    #   bentoml
    #   opentelemetry-instrumentation
    #   opentelemetry-instrumentation-aiohttp-client
    #   opentelemetry-instrumentation-asgi
    #   opentelemetry-sdk
opentelemetry-util-http==0.62b0
    # via
    #   bentoml
    #   opentelemetry-instrumentation-aiohttp-client
    #   opentelemetry-instrumentation-asgi
packaging==26.0
    # via
    #   bentoml
    #   black
    #   datasets
    #   gunicorn
    #   huggingface-hub
    #   matplotlib
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-instrumentation
    #   pip-requirements-parser
    #   pytest
    #   skops
    #   transformers
pandas==2.3.3
    # via
    #   -r requirements.txt
    #   datasets
    #   mlflow
pathspec==1.0.4
    # via
    #   bentoml
    #   black
pillow==12.2.0
    # via
    #   matplotlib
    #   torchvision
pip-requirements-parser==32.0.1
    # via bentoml
platformdirs==4.9.6
    # via black
pluggy==1.6.0
    # via pytest
prettytable==3.17.0
    # via skops
prometheus-client==0.25.0
    # via
    #   -r requirements.txt
    #   bentoml
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
protobuf==6.33.6
    # via
    #   databricks-sdk
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-proto
psutil==7.2.2
    # via
    #   bentoml
    #   kantoku
pyarrow==23.0.1
    # via
    #   datasets
    #   mlflow
pyasn1==0.6.3
    # via pyasn1-modules
pyasn1-modules==0.4.2
    # via google-auth
pycparser==3.0
    # via cffi
pydantic==2.13.0
    # via
    #   -r requirements.txt
    #   bentoml
    #   fastapi
    #   mlflow-skinny
    #   mlflow-tracing
pydantic-core==2.46.0
    # via pydantic
pygments==2.20.0
    # via
    #   pytest
    #   rich
pyparsing==3.3.2
    # via
    #   matplotlib
    #   pip-requirements-parser
pytest==9.0.3
    # via -r requirements.txt
python-dateutil==2.9.0.post0
    # via
    #   bentoml
    #   graphene
    #   matplotlib
    #   pandas
python-dotenv==1.2.2
    # via
    #   -r requirements.txt
    #   mlflow-skinny
python-json-logger==4.1.0
    # via bentoml
python-multipart==0.0.26
    # via bentoml
pytokens==0.4.1
    # via black
pytz==2026.1.post1
    # via pandas
pyyaml==6.0.3
    # via
    #   bentoml
    #   datasets
    #   huggingface-hub
    #   mlflow-skinny
    #   transformers
pyzmq==27.1.0
    # via kantoku
regex==2026.4.4
    # via transformers
requests==2.33.1
    # via
    #   -r requirements.txt
    #   databricks-sdk
    #   datasets
    #   docker
    #   mlflow-skinny
rich==15.0.0
    # via
    #   bentoml
    #   rich-toolkit
    #   typer
rich-toolkit==0.19.7
    # via bentoml
safetensors==0.7.0
    # via transformers
schema==0.7.8
    # via bentoml
scikit-learn==1.8.0
    # via
    #   -r requirements.txt
    #   mlflow
    #   skops
scipy==1.17.1
    # via
    #   mlflow
    #   scikit-learn
    #   skops
shellingham==1.5.4
    # via typer
simple-di==0.1.5
    # via bentoml
six==1.17.0
    # via python-dateutil
skops==0.13.0
    # via mlflow
smmap==5.0.3
    # via gitdb
sqlalchemy==2.0.49
    # via
    #   alembic
    #   mlflow
sqlparse==0.5.5
    # via mlflow-skinny
starlette==1.0.0
    # via
    #   bentoml
    #   fastapi
sympy==1.14.0
    # via torch
threadpoolctl==3.6.0
    # via scikit-learn
tokenizers==0.22.2
    # via transformers
tomli-w==1.2.0
    # via bentoml
torch==2.11.0
    # via
    #   -r requirements.txt
    #   torchvision
torchvision==0.26.0
    # via -r requirements.txt
tornado==6.5.5
    # via kantoku
tqdm==4.67.3
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
transformers==5.5.4
    # via -r requirements.txt
typer==0.24.1
    # via
    #   huggingface-hub
    #   transformers
typing-extensions==4.15.0
    # via
    #   alembic
    #   fastapi
    #   graphene
    #   huggingface-hub
    #   mlflow-skinny
    #   opentelemetry-api
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
    #   pydantic
    #   pydantic-core
    #   rich-toolkit
    #   sqlalchemy
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
tzdata==2026.1
    # via pandas
urllib3==2.6.3
    # via
    #   docker
    #   requests
uvicorn==0.44.0
    # via
    #   -r requirements.txt
    #   bentoml
    #   mlflow-skinny
watchfiles==1.1.1
    # via bentoml
wcwidth==0.6.0
    # via prettytable
werkzeug==3.1.8
    # via
    #   flask
    #   flask-cors
wrapt==2.1.2
    # via
    #   opentelemetry-instrumentation
    #   opentelemetry-instrumentation-aiohttp-client
wsproto==1.3.2
    # via httpx-ws
xxhash==3.6.0
    # via datasets
yarl==1.23.0
    # via aiohttp
zipp==3.23.1
    # via importlib-metadata

# The following packages are considered to be unsafe in a requirements file:
# setuptools