{
  "repodata": {
    "build": "py310h279a771_0",
    "build_number": 0,
    "constrains": [
      "google-cloud-storage >=1.30.0",
      "uvicorn-standard <1",
      "azureml-core >=1.2.0",
      "watchfiles <2",
      "mlflow-skinny <0a0",
      "mlserver >=1.2.0,!=1.3.1,<2.0.0",
      "langchain >=0.3.19,<=1.2.9",
      "tiktoken <1",
      "databricks-agents >=1.2.0,<2.0",
      "azure-storage-file-datalake >12",
      "slowapi <1,>=0.1.9",
      "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0"
    ],
    "depends": [
      "aiohttp <4",
      "alembic <2,!=1.10.0",
      "cachetools >=5.0.0,<8",
      "click >=7.0,<9",
      "cloudpickle <4",
      "cryptography >=43.0.0,<47",
      "databricks-sdk >=0.20.0,<1",
      "docker-py >=4.0.0,<8",
      "fastapi <1",
      "flask <4",
      "flask-cors <7",
      "gitpython >=3.1.9,<4",
      "graphene <4",
      "huey >=2.5.4,<3",
      "importlib-metadata >=3.7.0,<10,!=4.7.0",
      "matplotlib-base <4",
      "numpy <3",
      "opentelemetry-api >=1.9.0,<3",
      "opentelemetry-proto >=1.9.0,<3",
      "opentelemetry-sdk >=1.9.0,<3",
      "packaging <27",
      "pandas <3",
      "protobuf >=3.12.0,<8",
      "pyarrow >=4.0.0,<24",
      "pydantic >=2,<3",
      "python >=3.10,<3.11.0a0",
      "python-dotenv >=0.19.0,<2",
      "pytz <2025",
      "pyyaml >=5.1,<7",
      "requests >=2.17.3,<3",
      "scikit-learn <2",
      "scipy <2",
      "skops <1",
      "sqlalchemy >=1.4.0,<3",
      "sqlparse >=0.4.0,<1",
      "starlette <1",
      "typing-extensions >=4.0.0,<5",
      "uvicorn <1",
      "waitress <4"
    ],
    "license": "Apache-2.0",
    "license_family": "APACHE",
    "md5": "773ce3d63ef9af08e51a5afaee70edcf",
    "name": "mlflow",
    "sha256": "3dc6a9dfb02405709c29b03ff44e8adbe9575cb3f13f196dc14c44f7fda0a0a2",
    "size": 5229240,
    "subdir": "win-64",
    "timestamp": 1778143565789,
    "version": "3.12.0"
  },
  "s3": "builds/ci/prefect/Vwg64StiTVCrPLRTnFaPbQ/1778143981/win-64/mlflow-3.12.0-py310h279a771_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "69d77eff346e9cfb2cd5e20f86c1cfa0129270c8d339ef651de6bdb4757948fd55e1bd3a94a245e7be866725a616d57a9976d5d60d1f3934a689aa464fe2ab04"
  }
}