requirements-dev.lock

# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: false

-e file:.
a2wsgi==1.10.7
    # via bentoml
aiobotocore==2.15.2
    # via s3fs
aiohappyeyeballs==2.4.4
    # via aiohttp
aiohttp==3.11.10
    # via aiobotocore
    # via bentoml
    # via s3fs
aioitertools==0.12.0
    # via aiobotocore
aiosignal==1.3.1
    # via aiohttp
aiosqlite==0.20.0
    # via bentoml
alembic==1.8.1
    # via mlflow
    # via zenml
annotated-types==0.7.0
    # via pydantic
anyio==4.7.0
    # via httpx
    # via httpx-ws
    # via starlette
    # via watchfiles
appdirs==1.4.4
    # via fs
    # via label-studio-sdk
argcomplete==3.5.1
    # via datamodel-code-generator
asgiref==3.8.1
    # via opentelemetry-instrumentation-asgi
asttokens==3.0.0
    # via stack-data
attrs==24.2.0
    # via aiohttp
    # via bentoml
    # via cattrs
    # via jsonschema
    # via referencing
bcrypt==4.0.1
    # via passlib
    # via zenml
bentoml==1.3.15
    # via from-jupyter-to-production-ml-platform
bigtree==0.22.3
    # via feast
black==24.10.0
    # via datamodel-code-generator
blinker==1.9.0
    # via flask
boto3==1.35.36
    # via from-jupyter-to-production-ml-platform
botocore==1.35.36
    # via aiobotocore
    # via boto3
    # via s3transfer
cachetools==5.5.0
    # via google-auth
    # via mlflow-skinny
cattrs==23.1.2
    # via bentoml
certifi==2024.8.30
    # via httpcore
    # via httpx
    # via requests
cffi==1.17.1
    # via cryptography
    # via pynacl
cfgv==3.4.0
    # via pre-commit
charset-normalizer==3.4.0
    # via requests
circus==0.18.0
    # via bentoml
click==8.1.3
    # via bentoml
    # via black
    # via click-option-group
    # via dask
    # via feast
    # via flask
    # via mlflow-skinny
    # via nltk
    # via uvicorn
    # via zenml
click-option-group==0.5.6
    # via bentoml
cloudpickle==2.2.1
    # via bentoml
    # via dask
    # via mlflow-skinny
    # via zenml
colorama==0.4.6
    # via feast
comm==0.2.2
    # via ipywidgets
contourpy==1.3.1
    # via matplotlib
cramjam==2.9.0
    # via fastparquet
cryptography==44.0.0
    # via pyjwt
cycler==0.12.1
    # via matplotlib
dask==2024.8.0
    # via dask-expr
    # via feast
dask-expr==1.1.10
    # via dask
databricks-sdk==0.38.0
    # via mlflow-skinny
datamodel-code-generator==0.26.1
    # via label-studio-sdk
decorator==5.1.1
    # via ipython
deepmerge==2.0
    # via bentoml
deprecated==1.2.15
    # via opentelemetry-api
    # via pygithub
dill==0.3.9
    # via feast
distlib==0.3.9
    # via virtualenv
distro==1.9.0
    # via zenml
dnspython==2.7.0
    # via email-validator
docker==7.1.0
    # via mlflow
    # via zenml
email-validator==2.2.0
    # via pydantic
executing==2.1.0
    # via stack-data
faker==33.1.0
    # via jsf
fastapi==0.115.6
    # via feast
fastparquet==2024.11.0
    # via from-jupyter-to-production-ml-platform
feast==0.41.3
    # via from-jupyter-to-production-ml-platform
filelock==3.16.1
    # via virtualenv
flask==3.1.0
    # via mlflow
fonttools==4.55.2
    # via matplotlib
frozenlist==1.5.0
    # via aiohttp
    # via aiosignal
fs==2.4.16
    # via bentoml
fsspec==2024.10.0
    # via dask
    # via fastparquet
    # via s3fs
genson==1.3.0
    # via datamodel-code-generator
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via mlflow-skinny
    # via zenml
google-auth==2.36.0
    # via databricks-sdk
graphene==3.4.3
    # via mlflow
graphql-core==3.2.5
    # via graphene
    # via graphql-relay
graphql-relay==3.2.0
    # via graphene
greenlet==3.1.1
    # via sqlalchemy
gunicorn==23.0.0
    # via feast
    # via mlflow
    # via uvicorn-worker
h11==0.14.0
    # via httpcore
    # via uvicorn
    # via wsproto
httpcore==1.0.7
    # via httpx
    # via httpx-ws
httptools==0.6.4
    # via uvicorn
httpx==0.28.0
    # via bentoml
    # via httpx-ws
    # via label-studio-sdk
httpx-ws==0.6.2
    # via bentoml
identify==2.6.3
    # via pre-commit
idna==3.10
    # via anyio
    # via email-validator
    # via httpx
    # via requests
    # via yarl
ijson==3.3.0
    # via label-studio-sdk
importlib-metadata==6.11.0
    # via mlflow-skinny
    # via opentelemetry-api
inflect==5.6.2
    # via datamodel-code-generator
inflection==0.5.1
    # via bentoml
ipython==8.18.0
    # via ipywidgets
ipywidgets==8.1.5
    # via rich
isort==5.13.2
    # via datamodel-code-generator
itsdangerous==2.2.0
    # via flask
jedi==0.19.2
    # via ipython
jinja2==3.1.4
    # via bentoml
    # via datamodel-code-generator
    # via feast
    # via flask
    # via mlflow
jmespath==1.0.1
    # via boto3
    # via botocore
joblib==1.4.2
    # via nltk
    # via scikit-learn
jsf==0.11.2
    # via label-studio-sdk
jsonschema==4.23.0
    # via feast
    # via jsf
    # via label-studio-sdk
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyterlab-widgets==3.0.13
    # via ipywidgets
kiwisolver==1.4.7
    # via matplotlib
label-studio-sdk==1.0.8
    # via from-jupyter-to-production-ml-platform
locket==1.0.0
    # via partd
lxml==5.3.0
    # via label-studio-sdk
mako==1.3.7
    # via alembic
markdown==3.7
    # via mlflow
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via jinja2
    # via mako
    # via werkzeug
matplotlib==3.9.3
    # via mlflow
matplotlib-inline==0.1.7
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
mlflow==2.18.0
    # via from-jupyter-to-production-ml-platform
mlflow-skinny==2.18.0
    # via mlflow
mmh3==5.0.1
    # via feast
multidict==6.1.0
    # via aiohttp
    # via yarl
mypy==1.13.0
    # via sqlalchemy
mypy-extensions==1.0.0
    # via black
    # via mypy
nltk==3.9.1
    # via label-studio-sdk
nodeenv==1.9.1
    # via pre-commit
numpy==1.26.4
    # via bentoml
    # via contourpy
    # via dask
    # via fastparquet
    # via feast
    # via label-studio-sdk
    # via matplotlib
    # via mlflow
    # via pandas
    # via scikit-learn
    # via scipy
    # via xgboost
nvidia-ml-py==12.560.30
    # via bentoml
nvidia-nccl-cu12==2.23.4
    # via xgboost
opentelemetry-api==1.20.0
    # via bentoml
    # via mlflow-skinny
    # via opentelemetry-instrumentation
    # via opentelemetry-instrumentation-aiohttp-client
    # via opentelemetry-instrumentation-asgi
    # via opentelemetry-sdk
opentelemetry-instrumentation==0.41b0
    # via bentoml
    # via opentelemetry-instrumentation-aiohttp-client
    # via opentelemetry-instrumentation-asgi
opentelemetry-instrumentation-aiohttp-client==0.41b0
    # via bentoml
opentelemetry-instrumentation-asgi==0.41b0
    # via bentoml
opentelemetry-sdk==1.20.0
    # via bentoml
    # via mlflow-skinny
opentelemetry-semantic-conventions==0.41b0
    # via bentoml
    # via opentelemetry-instrumentation-aiohttp-client
    # via opentelemetry-instrumentation-asgi
    # via opentelemetry-sdk
opentelemetry-util-http==0.41b0
    # via bentoml
    # via opentelemetry-instrumentation-aiohttp-client
    # via opentelemetry-instrumentation-asgi
packaging==24.2
    # via bentoml
    # via black
    # via dask
    # via datamodel-code-generator
    # via fastparquet
    # via gunicorn
    # via matplotlib
    # via mlflow-skinny
    # via pip-requirements-parser
    # via zenml
pandas==2.2.3
    # via dask
    # via dask-expr
    # via fastparquet
    # via feast
    # via from-jupyter-to-production-ml-platform
    # via label-studio-sdk
    # via mlflow
parso==0.8.4
    # via jedi
partd==1.4.2
    # via dask
passlib==1.7.4
    # via zenml
pathspec==0.12.1
    # via bentoml
    # via black
pexpect==4.9.0
    # via ipython
pillow==11.0.0
    # via label-studio-sdk
    # via matplotlib
pip==24.3.1
    # via from-jupyter-to-production-ml-platform
pip-requirements-parser==32.0.1
    # via bentoml
platformdirs==4.3.6
    # via black
    # via virtualenv
pre-commit==4.0.1
prometheus-client==0.21.1
    # via bentoml
    # via feast
prompt-toolkit==3.0.36
    # via ipython
    # via questionary
propcache==0.2.1
    # via aiohttp
    # via yarl
protobuf==4.25.5
    # via feast
    # via mlflow-skinny
psutil==6.1.0
    # via bentoml
    # via circus
    # via feast
    # via zenml
psycopg==3.2.3
    # via feast
    # via from-jupyter-to-production-ml-platform
psycopg-binary==3.2.3
    # via psycopg
psycopg-pool==3.2.4
    # via psycopg
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==18.1.0
    # via dask-expr
    # via feast
    # via mlflow
pyasn1==0.6.1
    # via pyasn1-modules
    # via rsa
pyasn1-modules==0.4.1
    # via google-auth
pycparser==2.22
    # via cffi
pydantic==2.8.2
    # via bentoml
    # via datamodel-code-generator
    # via fastapi
    # via feast
    # via jsf
    # via label-studio-sdk
    # via pydantic-settings
    # via sqlmodel
    # via zenml
pydantic-core==2.20.1
    # via pydantic
pydantic-settings==2.6.1
    # via zenml
pygit==0.1
    # via from-jupyter-to-production-ml-platform
pygithub==2.5.0
    # via from-jupyter-to-production-ml-platform
pygments==2.18.0
    # via feast
    # via ipython
    # via rich
pyjwt==2.10.1
    # via feast
    # via pygithub
pymysql==1.1.1
    # via from-jupyter-to-production-ml-platform
    # via zenml
pynacl==1.5.0
    # via pygithub
pyparsing==3.2.0
    # via matplotlib
    # via pip-requirements-parser
python-dateutil==2.9.0.post0
    # via bentoml
    # via botocore
    # via faker
    # via graphene
    # via matplotlib
    # via pandas
    # via zenml
python-dotenv==1.0.1
    # via bentoml
    # via from-jupyter-to-production-ml-platform
    # via pydantic-settings
    # via uvicorn
python-json-logger==2.0.7
    # via bentoml
python-multipart==0.0.19
    # via bentoml
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via bentoml
    # via dask
    # via datamodel-code-generator
    # via feast
    # via mlflow-skinny
    # via pre-commit
    # via uvicorn
    # via zenml
pyzmq==26.2.0
    # via circus
questionary==2.0.1
    # via bentoml
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
regex==2024.11.6
    # via nltk
requests==2.32.3
    # via databricks-sdk
    # via docker
    # via feast
    # via label-studio-sdk
    # via mlflow-skinny
    # via pygithub
    # via requests-mock
    # via smart-open
requests-mock==1.12.1
    # via label-studio-sdk
rich==13.9.4
    # via bentoml
    # via zenml
rpds-py==0.22.3
    # via jsonschema
    # via referencing
rsa==4.9
    # via google-auth
rstr==3.2.2
    # via jsf
ruff==0.8.2
s3fs==2024.10.0
    # via from-jupyter-to-production-ml-platform
s3transfer==0.10.4
    # via boto3
schema==0.7.7
    # via bentoml
scikit-learn==1.5.2
    # via from-jupyter-to-production-ml-platform
    # via mlflow
scipy==1.14.1
    # via mlflow
    # via scikit-learn
    # via xgboost
setuptools==75.6.0
    # via fs
    # via opentelemetry-instrumentation
    # via zenml
simple-di==0.1.5
    # via bentoml
six==1.17.0
    # via fs
    # via python-dateutil
smart-open==7.0.5
    # via jsf
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via anyio
sqlalchemy==2.0.36
    # via alembic
    # via feast
    # via from-jupyter-to-production-ml-platform
    # via mlflow
    # via sqlalchemy-utils
    # via sqlmodel
    # via zenml
sqlalchemy-utils==0.41.2
    # via zenml
sqlmodel==0.0.18
    # via zenml
sqlparse==0.5.2
    # via mlflow-skinny
stack-data==0.6.3
    # via ipython
starlette==0.41.3
    # via bentoml
    # via fastapi
tabulate==0.9.0
    # via feast
tenacity==8.5.0
    # via feast
threadpoolctl==3.5.0
    # via scikit-learn
toml==0.10.2
    # via feast
tomli-w==1.1.0
    # via bentoml
toolz==1.0.0
    # via dask
    # via partd
tornado==6.4.2
    # via circus
tqdm==4.67.1
    # via feast
    # via nltk
traitlets==5.14.3
    # via comm
    # via ipython
    # via ipywidgets
    # via matplotlib-inline
typeguard==4.4.1
    # via feast
typing-extensions==4.12.2
    # via aiosqlite
    # via anyio
    # via faker
    # via fastapi
    # via graphene
    # via jsf
    # via label-studio-sdk
    # via mypy
    # via opentelemetry-sdk
    # via psycopg
    # via psycopg-pool
    # via pydantic
    # via pydantic-core
    # via pygithub
    # via sqlalchemy
    # via typeguard
tzdata==2024.2
    # via pandas
ujson==5.10.0
    # via label-studio-sdk
urllib3==2.2.3
    # via botocore
    # via docker
    # via pygithub
    # via requests
uv==0.5.6
    # via bentoml
uvicorn==0.32.1
    # via bentoml
    # via feast
    # via uvicorn-worker
uvicorn-worker==0.2.0
    # via feast
uvloop==0.21.0
    # via uvicorn
virtualenv==20.28.0
    # via pre-commit
watchfiles==1.0.0
    # via bentoml
    # via uvicorn
wcwidth==0.2.13
    # via prompt-toolkit
websockets==14.1
    # via uvicorn
werkzeug==3.1.3
    # via flask
widgetsnbextension==4.0.13
    # via ipywidgets
wrapt==1.17.0
    # via aiobotocore
    # via deprecated
    # via opentelemetry-instrumentation
    # via opentelemetry-instrumentation-aiohttp-client
    # via smart-open
wsproto==1.2.0
    # via httpx-ws
xgboost==2.1.3
    # via from-jupyter-to-production-ml-platform
xmljson==0.2.1
    # via label-studio-sdk
yarl==1.18.3
    # via aiohttp
zenml==0.71.0
    # via from-jupyter-to-production-ml-platform
zipp==3.21.0
    # via importlib-metadata