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pyproject.release.toml
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pyproject.release.toml
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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project]
name = "mlflow"
version = "2.17.3.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 :: 3.9",
]
requires-python = ">=3.9"
dependencies = [
"mlflow-skinny==2.17.3.dev0",
"Flask<4",
"Jinja2<4,>=2.11; platform_system != 'Windows'",
"Jinja2<4,>=3.0; platform_system == 'Windows'",
"alembic<2,!=1.10.0",
"docker<8,>=4.0.0",
"graphene<4",
"gunicorn<24; platform_system != 'Windows'",
"markdown<4,>=3.3",
"matplotlib<4",
"numpy<3",
"pandas<3",
"pyarrow<18,>=4.0.0",
"scikit-learn<2",
"scipy<2",
"sqlalchemy<3,>=1.4.0",
"waitress<4; platform_system == 'Windows'",
]
[[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",
"virtualenv",
"prometheus-flask-exporter",
]
databricks = [
"azure-storage-file-datalake>12",
"google-cloud-storage>=1.30.0",
"boto3>1",
"botocore",
]
mlserver = ["mlserver>=1.2.0,!=1.3.1", "mlserver-mlflow>=1.2.0,!=1.3.1"]
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>=0.1.0,<=0.3.3"]
[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/**/*",
"models/container/**/*",
"server/js/build/**/*",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["mlflow", "mlflow.*"]
exclude = ["tests", "tests.*"]