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pyproject.skinny.toml
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pyproject.skinny.toml
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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project]
name = "mlflow-skinny"
version = "2.13.2.dev0"
description = "MLflow is an open source platform for the complete machine learning lifecycle"
readme = "README.rst"
keywords = ["mlflow", "ai", "databricks"]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"Intended Audience :: Information Technology",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
]
requires-python = ">=3.8"
dependencies = [
"cachetools<6,>=5.0.0",
"click<9,>=7.0",
"cloudpickle<4",
"databricks-sdk<1,>=0.20.0",
"entrypoints<1",
"gitpython<4,>=3.1.9",
"importlib_metadata<8,>=3.7.0,!=4.7.0",
"opentelemetry-api<3,>=1.9.0",
"opentelemetry-sdk<3,>=1.9.0",
"packaging<25",
"protobuf<5,>=3.12.0",
"pytz<2025",
"pyyaml<7,>=5.1",
"requests<3,>=2.17.3",
"sqlparse<1,>=0.4.0",
]
[[project.maintainers]]
name = "Databricks"
email = "[email protected] "
[project.license]
file = "LICENSE.txt"
[project.optional-dependencies]
extras = [
"pyarrow",
"requests-auth-aws-sigv4",
"boto3",
"botocore",
"google-cloud-storage>=1.30.0",
"azureml-core>=1.2.0",
"pysftp",
"kubernetes",
"mlserver>=1.2.0,!=1.3.1,<1.4.0",
"mlserver-mlflow>=1.2.0,!=1.3.1,<1.4.0",
"virtualenv",
"prometheus-flask-exporter",
]
databricks = [
"azure-storage-file-datalake>12",
"google-cloud-storage>=1.30.0",
"boto3>1",
"botocore",
]
gateway = [
"pydantic<3,>=1.0",
"fastapi<1",
"uvicorn[standard]<1",
"watchfiles<1",
"aiohttp<4",
"boto3<2,>=1.28.56",
"tiktoken<1",
"slowapi<1,>=0.1.9",
]
genai = [
"pydantic<3,>=1.0",
"fastapi<1",
"uvicorn[standard]<1",
"watchfiles<1",
"aiohttp<4",
"boto3<2,>=1.28.56",
"tiktoken<1",
"slowapi<1,>=0.1.9",
]
sqlserver = ["mlflow-dbstore"]
aliyun-oss = ["aliyunstoreplugin"]
xethub = ["mlflow-xethub"]
jfrog = ["mlflow-jfrog-plugin"]
langchain = ["langchain>=0.1.4,<=0.2.1"]
[project.urls]
homepage = "https://mlflow.org"
issues = "https://github.com/mlflow/mlflow/issues"
documentation = "https://mlflow.org/docs/latest/index.html"
repository = "https://github.com/mlflow/mlflow"
[project.scripts]
mlflow = "mlflow.cli:cli"
[project.entry-points."mlflow.app"]
basic-auth = "mlflow.server.auth:create_app"
[project.entry-points."mlflow.app.client"]
basic-auth = "mlflow.server.auth.client:AuthServiceClient"
[project.entry-points."mlflow.deployments"]
databricks = "mlflow.deployments.databricks"
http = "mlflow.deployments.mlflow"
https = "mlflow.deployments.mlflow"
openai = "mlflow.deployments.openai"
[tool.setuptools.package-data]
mlflow = [
"store/db_migrations/alembic.ini",
"temporary_db_migrations_for_pre_1_users/alembic.ini",
"pypi_package_index.json",
"pyspark/ml/log_model_allowlist.txt",
"server/auth/basic_auth.ini",
"server/auth/db/migrations/alembic.ini",
"recipes/resources/**/*",
"recipes/cards/templates/**/*",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["mlflow", "mlflow.*"]
exclude = ["tests", "tests.*"]