{
  "info": {
    "subdir": "win-64"
  },
  "packages": {
    "mlflow-3.12.0-py310h279a771_0.tar.bz2": {
      "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"
    },
    "mlflow-3.12.0-py311h279a771_0.tar.bz2": {
      "build": "py311h279a771_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "mlflow-skinny <0a0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "langchain >=0.3.19,<=1.2.9",
        "watchfiles <2",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "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 >=3.11,<3.12.0a0",
        "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": "15d4ee9d94c7359402b9645e98d87615",
      "name": "mlflow",
      "sha256": "d3240d81b171d368440482e117197bbce6333e69c7ae6150438550278af25cdd",
      "size": 6729223,
      "subdir": "win-64",
      "timestamp": 1778143557748,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py312h279a771_0.tar.bz2": {
      "build": "py312h279a771_0",
      "build_number": 0,
      "constrains": [
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "slowapi <1,>=0.1.9",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "uvicorn-standard <1",
        "google-cloud-storage >=1.30.0",
        "langchain >=0.3.19,<=1.2.9",
        "watchfiles <2",
        "mlflow-skinny <0a0"
      ],
      "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 >=3.12,<3.13.0a0",
        "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": "80c10e3c0526c0771f670266762c2ad3",
      "name": "mlflow",
      "sha256": "34a16b32c9566b272b5ca2c047a82c2f9690efb190ac5239b0f578d3b174d870",
      "size": 6449489,
      "subdir": "win-64",
      "timestamp": 1778143580478,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py313h279a771_0.tar.bz2": {
      "build": "py313h279a771_0",
      "build_number": 0,
      "constrains": [
        "azureml-core >=1.2.0",
        "mlflow-skinny <0a0",
        "databricks-agents >=1.2.0,<2.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "langchain >=0.3.19,<=1.2.9",
        "tiktoken <1",
        "watchfiles <2",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "slowapi <1,>=0.1.9",
        "mlserver >=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 >=3.13,<3.14.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.13.* *_cp313",
        "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": "4a04a54e7e4d1932f93956a1f34d41f7",
      "name": "mlflow",
      "sha256": "bd50c9c077646746eeb7a6cd418ebda604ef08dcd95baba7102a00b50f39e7b9",
      "size": 6501366,
      "subdir": "win-64",
      "timestamp": 1778143563820,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py314he795a9d_0.tar.bz2": {
      "build": "py314he795a9d_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "azure-storage-file-datalake >12",
        "google-cloud-storage >=1.30.0",
        "langchain >=0.3.19,<=1.2.9",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "uvicorn-standard <1",
        "mlflow-skinny <0a0",
        "slowapi <1,>=0.1.9",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "watchfiles <2",
        "mlserver >=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 >=3.14,<3.15.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.14.* *_cp314",
        "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": "6f5836355f3742d09b3e5438cce118d9",
      "name": "mlflow",
      "sha256": "c4cf2d7c0e1b5a2206eefbc9aa4e6be6a06a283d7d8d82ec0c1900589dc82f22",
      "size": 6731147,
      "subdir": "win-64",
      "timestamp": 1778143573440,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py310h48b8407_0.tar.bz2": {
      "build": "py310h48b8407_0",
      "build_number": 0,
      "constrains": [
        "uvicorn-standard <1",
        "mlflow <0a0",
        "databricks-agents >=1.2.0,<2.0",
        "slowapi <1,>=0.1.9",
        "langchain >=0.3.19,<=1.2.9",
        "azure-storage-file-datalake >12",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "azureml-core >=1.2.0",
        "watchfiles <2",
        "tiktoken <1",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.10,<3.11.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "7128cfa338fb9708a63465bb7e0ca99f",
      "name": "mlflow-skinny",
      "sha256": "a552857f53d91f3a45852078db04c0f7966c5bdade50b745a37277081ebffe02",
      "size": 5145333,
      "subdir": "win-64",
      "timestamp": 1778143615259,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py311h48b8407_0.tar.bz2": {
      "build": "py311h48b8407_0",
      "build_number": 0,
      "constrains": [
        "slowapi <1,>=0.1.9",
        "watchfiles <2",
        "azureml-core >=1.2.0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.19,<=1.2.9",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "mlflow <0a0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.11,<3.12.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "1b89c83491cd603ad683dbb796fe1d87",
      "name": "mlflow-skinny",
      "sha256": "d7e3685a4eedeb623bf34ad873f0fb8f947dd4c5d94ca1ba157e70aa819dbd39",
      "size": 6595571,
      "subdir": "win-64",
      "timestamp": 1778143570447,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py312h48b8407_0.tar.bz2": {
      "build": "py312h48b8407_0",
      "build_number": 0,
      "constrains": [
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "watchfiles <2",
        "databricks-agents >=1.2.0,<2.0",
        "mlflow <0a0",
        "langchain >=0.3.19,<=1.2.9",
        "azure-storage-file-datalake >12",
        "uvicorn-standard <1"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.12,<3.13.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "2bfcad041c59fe4f6413f7fa4dbb1dcc",
      "name": "mlflow-skinny",
      "sha256": "d48011aeeaf17ed84447a444049b5886726b3071d8fcf410243e367644c64442",
      "size": 6399373,
      "subdir": "win-64",
      "timestamp": 1778143616379,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py313h48b8407_0.tar.bz2": {
      "build": "py313h48b8407_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "langchain >=0.3.19,<=1.2.9",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "google-cloud-storage >=1.30.0",
        "mlflow <0a0",
        "slowapi <1,>=0.1.9",
        "uvicorn-standard <1",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "watchfiles <2"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.13,<3.14.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "d18577200042ed4bfacfbbd79ceb30c5",
      "name": "mlflow-skinny",
      "sha256": "a9eb6817e86267f6ae09e2890bd9ed1b6d17e05ff087f085e5126da165b3ee81",
      "size": 6404916,
      "subdir": "win-64",
      "timestamp": 1778143359952,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py314h121196a_0.tar.bz2": {
      "build": "py314h121196a_0",
      "build_number": 0,
      "constrains": [
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "google-cloud-storage >=1.30.0",
        "slowapi <1,>=0.1.9",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.19,<=1.2.9",
        "azureml-core >=1.2.0",
        "databricks-agents >=1.2.0,<2.0",
        "watchfiles <2",
        "tiktoken <1",
        "uvicorn-standard <1",
        "mlflow <0a0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.14,<3.15.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "0c31e82ed091b44e43bfcc7b56df92dc",
      "name": "mlflow-skinny",
      "sha256": "0426adeadd1ce1f52d9a82425469aa1f00f9428258985e56cf50e04e1702ffd0",
      "size": 6652442,
      "subdir": "win-64",
      "timestamp": 1778143564658,
      "version": "3.12.0"
    }
  },
  "packages.conda": {
    "mlflow-3.12.0-py310h279a771_0.conda": {
      "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": "760102fa163c678b1e5c5cd77ffbe7a7",
      "name": "mlflow",
      "sha256": "228c0a24a6eb39b6a9608b3ab0ca829d5f0040ce9abd39fcb8a6f5c2f8913dfa",
      "size": 4293949,
      "subdir": "win-64",
      "timestamp": 1778143565789,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py311h279a771_0.conda": {
      "build": "py311h279a771_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "mlflow-skinny <0a0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "langchain >=0.3.19,<=1.2.9",
        "watchfiles <2",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "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 >=3.11,<3.12.0a0",
        "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": "f94a47daaab029985b765a4d17264cce",
      "name": "mlflow",
      "sha256": "dad613365eab660f1d47268f6f5065669a98e401f2d8a422d8c01a237ebefea1",
      "size": 5549216,
      "subdir": "win-64",
      "timestamp": 1778143557748,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py312h279a771_0.conda": {
      "build": "py312h279a771_0",
      "build_number": 0,
      "constrains": [
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "slowapi <1,>=0.1.9",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "uvicorn-standard <1",
        "google-cloud-storage >=1.30.0",
        "langchain >=0.3.19,<=1.2.9",
        "watchfiles <2",
        "mlflow-skinny <0a0"
      ],
      "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 >=3.12,<3.13.0a0",
        "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": "1144fc26fbb8467dfbd164373b1d5069",
      "name": "mlflow",
      "sha256": "b6e30dbea6857f7f2adc613ab2fd0c42cc419cacae6ed97f57414a533975d106",
      "size": 5414044,
      "subdir": "win-64",
      "timestamp": 1778143580478,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py313h279a771_0.conda": {
      "build": "py313h279a771_0",
      "build_number": 0,
      "constrains": [
        "azureml-core >=1.2.0",
        "mlflow-skinny <0a0",
        "databricks-agents >=1.2.0,<2.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "langchain >=0.3.19,<=1.2.9",
        "tiktoken <1",
        "watchfiles <2",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "slowapi <1,>=0.1.9",
        "mlserver >=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 >=3.13,<3.14.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.13.* *_cp313",
        "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": "2b3db1ffbffd51ab35437c41242e0807",
      "name": "mlflow",
      "sha256": "2f66296a938201a8b83cba4bc9ea92810912cfe0f134862fdb93acaa40c7757c",
      "size": 5510043,
      "subdir": "win-64",
      "timestamp": 1778143563820,
      "version": "3.12.0"
    },
    "mlflow-3.12.0-py314he795a9d_0.conda": {
      "build": "py314he795a9d_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "azure-storage-file-datalake >12",
        "google-cloud-storage >=1.30.0",
        "langchain >=0.3.19,<=1.2.9",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "uvicorn-standard <1",
        "mlflow-skinny <0a0",
        "slowapi <1,>=0.1.9",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "watchfiles <2",
        "mlserver >=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 >=3.14,<3.15.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.14.* *_cp314",
        "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": "a331532ed76744890f2724e28059f9e6",
      "name": "mlflow",
      "sha256": "d6b893f3e909e45bd53b107b14f9a3038feec84155961f03c4fd8aad707ab577",
      "size": 5692720,
      "subdir": "win-64",
      "timestamp": 1778143573440,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py310h48b8407_0.conda": {
      "build": "py310h48b8407_0",
      "build_number": 0,
      "constrains": [
        "uvicorn-standard <1",
        "mlflow <0a0",
        "databricks-agents >=1.2.0,<2.0",
        "slowapi <1,>=0.1.9",
        "langchain >=0.3.19,<=1.2.9",
        "azure-storage-file-datalake >12",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "azureml-core >=1.2.0",
        "watchfiles <2",
        "tiktoken <1",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.10,<3.11.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "daa0ee06f269d4eb7cc19bb613d6e1b5",
      "name": "mlflow-skinny",
      "sha256": "bf32399d047af4345448255050dc64bd686dc600a2b3918a7ac2661a52931b89",
      "size": 4252892,
      "subdir": "win-64",
      "timestamp": 1778143615259,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py311h48b8407_0.conda": {
      "build": "py311h48b8407_0",
      "build_number": 0,
      "constrains": [
        "slowapi <1,>=0.1.9",
        "watchfiles <2",
        "azureml-core >=1.2.0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.19,<=1.2.9",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "mlflow <0a0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.11,<3.12.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "f03fa6b9bbd458516a96c198170ee8cf",
      "name": "mlflow-skinny",
      "sha256": "fc91f4a59d0922a82d0bfa941cd619da6275e98b2ed3034958ff500d36f297c8",
      "size": 5466991,
      "subdir": "win-64",
      "timestamp": 1778143570447,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py312h48b8407_0.conda": {
      "build": "py312h48b8407_0",
      "build_number": 0,
      "constrains": [
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "watchfiles <2",
        "databricks-agents >=1.2.0,<2.0",
        "mlflow <0a0",
        "langchain >=0.3.19,<=1.2.9",
        "azure-storage-file-datalake >12",
        "uvicorn-standard <1"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.12,<3.13.0a0",
        "python-dotenv >=0.19.0,<2",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "c0d6c4921d2c615b04b1384a00cc0fda",
      "name": "mlflow-skinny",
      "sha256": "c0b71085802ff7644383f7e4222480b187e894d0fb5574bc899af9381fd54e7f",
      "size": 5363164,
      "subdir": "win-64",
      "timestamp": 1778143616379,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py313h48b8407_0.conda": {
      "build": "py313h48b8407_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "langchain >=0.3.19,<=1.2.9",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "google-cloud-storage >=1.30.0",
        "mlflow <0a0",
        "slowapi <1,>=0.1.9",
        "uvicorn-standard <1",
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
        "watchfiles <2"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.13,<3.14.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "c0fa142a8d9b8ccc195b86e7d01126f5",
      "name": "mlflow-skinny",
      "sha256": "2a61e3c776fea0c2a3b07a3fe4656383ae210905bfd726e664287d312ffa6598",
      "size": 5427869,
      "subdir": "win-64",
      "timestamp": 1778143359952,
      "version": "3.12.0"
    },
    "mlflow-skinny-3.12.0-py314h121196a_0.conda": {
      "build": "py314h121196a_0",
      "build_number": 0,
      "constrains": [
        "mlserver >=1.2.0,!=1.3.1,<2.0.0",
        "google-cloud-storage >=1.30.0",
        "slowapi <1,>=0.1.9",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.19,<=1.2.9",
        "azureml-core >=1.2.0",
        "databricks-agents >=1.2.0,<2.0",
        "watchfiles <2",
        "tiktoken <1",
        "uvicorn-standard <1",
        "mlflow <0a0",
        "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0"
      ],
      "depends": [
        "aiohttp <4",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "databricks-sdk >=0.20.0,<1",
        "fastapi <1",
        "gitpython >=3.1.9,<4",
        "importlib-metadata >=3.7.0,<10,!=4.7.0",
        "opentelemetry-api >=1.9.0,<3",
        "opentelemetry-proto >=1.9.0,<3",
        "opentelemetry-sdk >=1.9.0,<3",
        "packaging <27",
        "protobuf >=3.12.0,<8",
        "pydantic >=2,<3",
        "python >=3.14,<3.15.0a0",
        "python-dotenv >=0.19.0,<2",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=5.1,<7",
        "requests >=2.17.3,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <1",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "f2459efe20d3e3d05e1e60817c0c80cf",
      "name": "mlflow-skinny",
      "sha256": "568181ac81253f4b1f1d3fb45d65437f78a3876db5f9aa06ee0a91ebd6d9190e",
      "size": 5640902,
      "subdir": "win-64",
      "timestamp": 1778143564658,
      "version": "3.12.0"
    }
  },
  "removed": [],
  "repodata_version": 1
}