{
  "info": {
    "subdir": "linux-aarch64"
  },
  "packages": {
    "mlflow-3.13.0-py310h6846e51_0.tar.bz2": {
      "build": "py310h6846e51_0",
      "build_number": 0,
      "constrains": [
        "slowapi <1,>=0.1.9",
        "azure-storage-file-datalake >12",
        "databricks-agents >=1.2.0,<2.0",
        "flask-wtf <2",
        "azureml-core >=1.2.0",
        "mlflow-skinny <0a0",
        "uvicorn-standard <1",
        "langchain >=0.3.26,<=1.3.0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "watchfiles <2",
        "tiktoken <1",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "google-cloud-storage >=1.30.0",
        "click !=8.3.0"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.10,<3.11.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "0a02a210d3ba2ca87074cdec43c33c48",
      "name": "mlflow",
      "sha256": "b1d704e14e17f3dead28b9c3fd0ec7d7eb3177abfe7c111a6dec62c6baa968df",
      "size": 5363424,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965993,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py311h6846e51_0.tar.bz2": {
      "build": "py311h6846e51_0",
      "build_number": 0,
      "constrains": [
        "azure-identity >=1.6.1",
        "slowapi <1,>=0.1.9",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "azureml-core >=1.2.0",
        "google-cloud-storage >=1.30.0",
        "boto3 >=1.28.56,<2",
        "uvicorn-standard <1",
        "databricks-agents >=1.2.0,<2.0",
        "azure-storage-file-datalake >12",
        "click !=8.3.0",
        "tiktoken <1",
        "watchfiles <2",
        "flask-wtf <2",
        "azure-storage-blob >=12",
        "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,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.11,<3.12.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "373043400f85e1fb80c3eff1334e418b",
      "name": "mlflow",
      "sha256": "0438ab1ecf6716a1e2c0199cb4768c971213f2c3007be1a39f5475297932e31d",
      "size": 6908635,
      "subdir": "linux-aarch64",
      "timestamp": 1781003964293,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py312h6846e51_0.tar.bz2": {
      "build": "py312h6846e51_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "uvicorn-standard <1",
        "azure-storage-blob >=12",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "mlflow-skinny <0a0",
        "azure-storage-file-datalake >12",
        "flask-wtf <2",
        "fastmcp >=2.0.0,<4",
        "azure-identity >=1.6.1",
        "tiktoken <1",
        "langchain >=0.3.26,<=1.3.0",
        "watchfiles <2",
        "click !=8.3.0",
        "boto3 >=1.28.56,<2"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.12,<3.13.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "a9b7251303d5e63fcdc005c977413fa0",
      "name": "mlflow",
      "sha256": "9bb5ed2d9eeac30770b6f7e6e014cba20922edb1b0a364554d791b4af74c3c95",
      "size": 6649852,
      "subdir": "linux-aarch64",
      "timestamp": 1781003955772,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py313h6846e51_0.tar.bz2": {
      "build": "py313h6846e51_0",
      "build_number": 0,
      "constrains": [
        "watchfiles <2",
        "google-cloud-storage >=1.30.0",
        "mlflow-skinny <0a0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "azure-storage-file-datalake >12",
        "azureml-core >=1.2.0",
        "slowapi <1,>=0.1.9",
        "langchain >=0.3.26,<=1.3.0",
        "fastmcp >=2.0.0,<4",
        "flask-wtf <2",
        "uvicorn-standard <1",
        "tiktoken <1",
        "azure-storage-blob >=12",
        "click !=8.3.0",
        "databricks-agents >=1.2.0,<2.0"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "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",
        "scikit-learn <2",
        "scipy <2",
        "skops <1",
        "sqlalchemy >=1.4.0,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "9cf8f325bb99aa9e1c18b4270d7dcd33",
      "name": "mlflow",
      "sha256": "739051618da699a5aaf7cc77647b459a3a45ccfc93d6327d9b14f13436ded0a6",
      "size": 6660487,
      "subdir": "linux-aarch64",
      "timestamp": 1781003966381,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py314h302bc95_0.tar.bz2": {
      "build": "py314h302bc95_0",
      "build_number": 0,
      "constrains": [
        "mlflow-skinny <0a0",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "fastmcp >=2.0.0,<4",
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "flask-wtf <2",
        "langchain >=0.3.26,<=1.3.0",
        "azure-storage-file-datalake >12",
        "azure-storage-blob >=12",
        "boto3 >=1.28.56,<2",
        "watchfiles <2",
        "azure-identity >=1.6.1",
        "click !=8.3.0",
        "azureml-core >=1.2.0",
        "slowapi <1,>=0.1.9"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "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",
        "scikit-learn <2",
        "scipy <2",
        "skops <1",
        "sqlalchemy >=1.4.0,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "82a267a40ba35c0b4137dae1392aa1db",
      "name": "mlflow",
      "sha256": "26eeafc73435baaf4a0eb0f6d2d09e284adbcad2a476568146b4f4e61c2a0d13",
      "size": 6928960,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965912,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py310hbe56323_0.tar.bz2": {
      "build": "py310hbe56323_0",
      "build_number": 0,
      "constrains": [
        "uvicorn-standard <1",
        "azure-identity >=1.6.1",
        "slowapi <1,>=0.1.9",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "boto3 >=1.28.56,<2",
        "azure-storage-blob >=12",
        "watchfiles <2",
        "azure-storage-file-datalake >12",
        "click !=8.3.0",
        "flask-wtf <2",
        "mlflow <0a0",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "28390ab56e5de456bd05f03a1735e2f9",
      "name": "mlflow-skinny",
      "sha256": "d6e95119465909afd0f4e01dfafbd61f84435d2deefa587023c08e9c93d786f7",
      "size": 5295467,
      "subdir": "linux-aarch64",
      "timestamp": 1781003954640,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py311hbe56323_0.tar.bz2": {
      "build": "py311hbe56323_0",
      "build_number": 0,
      "constrains": [
        "mlflow <0a0",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "azure-identity >=1.6.1",
        "watchfiles <2",
        "flask-wtf <2",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.26,<=1.3.0",
        "azureml-core >=1.2.0",
        "databricks-agents >=1.2.0,<2.0",
        "click !=8.3.0",
        "boto3 >=1.28.56,<2",
        "slowapi <1,>=0.1.9",
        "tiktoken <1",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "94666fd2360bd89d23cc7acf8322df3d",
      "name": "mlflow-skinny",
      "sha256": "f1f1ee91b11ce61fa4bbe7b3dd8a88a848331ffdf805bfdd0e14ffbd7faad97a",
      "size": 6832645,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965487,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py312hbe56323_0.tar.bz2": {
      "build": "py312hbe56323_0",
      "build_number": 0,
      "constrains": [
        "click !=8.3.0",
        "uvicorn-standard <1",
        "flask-wtf <2",
        "google-cloud-storage >=1.30.0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "azure-storage-blob >=12",
        "watchfiles <2",
        "mlflow <0a0",
        "fastmcp >=2.0.0,<4",
        "databricks-agents >=1.2.0,<2.0",
        "langchain >=0.3.26,<=1.3.0",
        "slowapi <1,>=0.1.9",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "azure-storage-file-datalake >12"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "0bd24869ca09fc8b8cc3c8c701a67bb0",
      "name": "mlflow-skinny",
      "sha256": "ef5e06355fe4a6d3ff30568b3344812d0584fed7a23e0d63a3c89ac36b6bdcc9",
      "size": 6567931,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965783,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py313hbe56323_0.tar.bz2": {
      "build": "py313hbe56323_0",
      "build_number": 0,
      "constrains": [
        "google-cloud-storage >=1.30.0",
        "flask-wtf <2",
        "click !=8.3.0",
        "azure-storage-blob >=12",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "databricks-agents >=1.2.0,<2.0",
        "watchfiles <2",
        "slowapi <1,>=0.1.9",
        "azure-identity >=1.6.1",
        "mlflow <0a0",
        "boto3 >=1.28.56,<2",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "uvicorn-standard <1"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "37c142869a6647b3b9b94f31d81afb77",
      "name": "mlflow-skinny",
      "sha256": "59c52eb41eca5686282a0bd42098464690cb00f7ac00f847719d7d61e9a04227",
      "size": 6614617,
      "subdir": "linux-aarch64",
      "timestamp": 1781003971576,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py314h6ca79aa_0.tar.bz2": {
      "build": "py314h6ca79aa_0",
      "build_number": 0,
      "constrains": [
        "azure-identity >=1.6.1",
        "uvicorn-standard <1",
        "watchfiles <2",
        "langchain >=0.3.26,<=1.3.0",
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "flask-wtf <2",
        "google-cloud-storage >=1.30.0",
        "tiktoken <1",
        "boto3 >=1.28.56,<2",
        "azure-storage-file-datalake >12",
        "slowapi <1,>=0.1.9",
        "click !=8.3.0",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "mlflow <0a0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "a4c4d43d2e50fbcf846ef43cae7f0d36",
      "name": "mlflow-skinny",
      "sha256": "3c8c019a3920e8eb53339d31cf7db8151bc2129c7c62964451a34204e90410eb",
      "size": 6816029,
      "subdir": "linux-aarch64",
      "timestamp": 1781003958647,
      "version": "3.13.0"
    }
  },
  "packages.conda": {
    "mlflow-3.13.0-py310h6846e51_0.conda": {
      "build": "py310h6846e51_0",
      "build_number": 0,
      "constrains": [
        "slowapi <1,>=0.1.9",
        "azure-storage-file-datalake >12",
        "databricks-agents >=1.2.0,<2.0",
        "flask-wtf <2",
        "azureml-core >=1.2.0",
        "mlflow-skinny <0a0",
        "uvicorn-standard <1",
        "langchain >=0.3.26,<=1.3.0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "watchfiles <2",
        "tiktoken <1",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "google-cloud-storage >=1.30.0",
        "click !=8.3.0"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.10,<3.11.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "b8d029e828d27a51e8355a48f8b9b9e9",
      "name": "mlflow",
      "sha256": "54d2f069f04e790f8b340bf314a0c608018f8fb9e2cc77b03894025189fcd09f",
      "size": 4450629,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965993,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py311h6846e51_0.conda": {
      "build": "py311h6846e51_0",
      "build_number": 0,
      "constrains": [
        "azure-identity >=1.6.1",
        "slowapi <1,>=0.1.9",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "azureml-core >=1.2.0",
        "google-cloud-storage >=1.30.0",
        "boto3 >=1.28.56,<2",
        "uvicorn-standard <1",
        "databricks-agents >=1.2.0,<2.0",
        "azure-storage-file-datalake >12",
        "click !=8.3.0",
        "tiktoken <1",
        "watchfiles <2",
        "flask-wtf <2",
        "azure-storage-blob >=12",
        "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,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.11,<3.12.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "f6b16976a4a0e49d40ee3df5b4346039",
      "name": "mlflow",
      "sha256": "c4647ba9e57e6fdabc802fc50884b377a9680dca22ae2e7ee1d63a3e51cf7089",
      "size": 5731298,
      "subdir": "linux-aarch64",
      "timestamp": 1781003964293,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py312h6846e51_0.conda": {
      "build": "py312h6846e51_0",
      "build_number": 0,
      "constrains": [
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "uvicorn-standard <1",
        "azure-storage-blob >=12",
        "slowapi <1,>=0.1.9",
        "google-cloud-storage >=1.30.0",
        "mlflow-skinny <0a0",
        "azure-storage-file-datalake >12",
        "flask-wtf <2",
        "fastmcp >=2.0.0,<4",
        "azure-identity >=1.6.1",
        "tiktoken <1",
        "langchain >=0.3.26,<=1.3.0",
        "watchfiles <2",
        "click !=8.3.0",
        "boto3 >=1.28.56,<2"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "pydantic >=2,<3",
        "python >=3.12,<3.13.0a0",
        "python-dotenv >=0.19.0,<2",
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "c1ca2101bbe818afc070f03030dbdb75",
      "name": "mlflow",
      "sha256": "364d2984ffddb6db6c08c19229300f90ed150e08c11b072cb8cbcb6a5c4fa13b",
      "size": 5585745,
      "subdir": "linux-aarch64",
      "timestamp": 1781003955772,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py313h6846e51_0.conda": {
      "build": "py313h6846e51_0",
      "build_number": 0,
      "constrains": [
        "watchfiles <2",
        "google-cloud-storage >=1.30.0",
        "mlflow-skinny <0a0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "azure-storage-file-datalake >12",
        "azureml-core >=1.2.0",
        "slowapi <1,>=0.1.9",
        "langchain >=0.3.26,<=1.3.0",
        "fastmcp >=2.0.0,<4",
        "flask-wtf <2",
        "uvicorn-standard <1",
        "tiktoken <1",
        "azure-storage-blob >=12",
        "click !=8.3.0",
        "databricks-agents >=1.2.0,<2.0"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "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",
        "scikit-learn <2",
        "scipy <2",
        "skops <1",
        "sqlalchemy >=1.4.0,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "8e7f08c3d3e221fc46100e46d791a429",
      "name": "mlflow",
      "sha256": "bda851b6fa6b94314e6314ff8896572992f29daf02b8c3333b828285ebb6850c",
      "size": 5675849,
      "subdir": "linux-aarch64",
      "timestamp": 1781003966381,
      "version": "3.13.0"
    },
    "mlflow-3.13.0-py314h302bc95_0.conda": {
      "build": "py314h302bc95_0",
      "build_number": 0,
      "constrains": [
        "mlflow-skinny <0a0",
        "google-cloud-storage >=1.30.0",
        "uvicorn-standard <1",
        "fastmcp >=2.0.0,<4",
        "tiktoken <1",
        "databricks-agents >=1.2.0,<2.0",
        "flask-wtf <2",
        "langchain >=0.3.26,<=1.3.0",
        "azure-storage-file-datalake >12",
        "azure-storage-blob >=12",
        "boto3 >=1.28.56,<2",
        "watchfiles <2",
        "azure-identity >=1.6.1",
        "click !=8.3.0",
        "azureml-core >=1.2.0",
        "slowapi <1,>=0.1.9"
      ],
      "depends": [
        "aiohttp <4",
        "alembic <2,!=1.10.0",
        "cachetools >=5.0.0,<8",
        "click >=7.0,<9",
        "cloudpickle <4",
        "cryptography >=43.0.0,<49",
        "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",
        "gunicorn <27",
        "huey >=2.5.4,<4",
        "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,<25",
        "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",
        "scikit-learn <2",
        "scipy <2",
        "skops <1",
        "sqlalchemy >=1.4.0,<3",
        "sqlparse >=0.4.0,<1",
        "starlette <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "4741eaf4f535a26f936dac67e07f1e30",
      "name": "mlflow",
      "sha256": "c58ee8bd6e1e8d2f22ddbfd4931bd0903aa3c8635ba662450496b6b71b24f596",
      "size": 5871791,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965912,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py310hbe56323_0.conda": {
      "build": "py310hbe56323_0",
      "build_number": 0,
      "constrains": [
        "uvicorn-standard <1",
        "azure-identity >=1.6.1",
        "slowapi <1,>=0.1.9",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "boto3 >=1.28.56,<2",
        "azure-storage-blob >=12",
        "watchfiles <2",
        "azure-storage-file-datalake >12",
        "click !=8.3.0",
        "flask-wtf <2",
        "mlflow <0a0",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "b91d168ce9a35d1cda249b92404ba0cb",
      "name": "mlflow-skinny",
      "sha256": "503e6c49eb0155b35df263911aa0bb39fd5ef505ac8abedb2d197faebf5fcea7",
      "size": 4378422,
      "subdir": "linux-aarch64",
      "timestamp": 1781003954640,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py311hbe56323_0.conda": {
      "build": "py311hbe56323_0",
      "build_number": 0,
      "constrains": [
        "mlflow <0a0",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "azure-identity >=1.6.1",
        "watchfiles <2",
        "flask-wtf <2",
        "uvicorn-standard <1",
        "azure-storage-file-datalake >12",
        "langchain >=0.3.26,<=1.3.0",
        "azureml-core >=1.2.0",
        "databricks-agents >=1.2.0,<2.0",
        "click !=8.3.0",
        "boto3 >=1.28.56,<2",
        "slowapi <1,>=0.1.9",
        "tiktoken <1",
        "google-cloud-storage >=1.30.0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "901254086b8563db7d5e5fd8828f8139",
      "name": "mlflow-skinny",
      "sha256": "fb034fba1ca66859cc132cfe480ab7c426ffdb7f9bd05962efb5035507037202",
      "size": 5653371,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965487,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py312hbe56323_0.conda": {
      "build": "py312hbe56323_0",
      "build_number": 0,
      "constrains": [
        "click !=8.3.0",
        "uvicorn-standard <1",
        "flask-wtf <2",
        "google-cloud-storage >=1.30.0",
        "azure-identity >=1.6.1",
        "boto3 >=1.28.56,<2",
        "azure-storage-blob >=12",
        "watchfiles <2",
        "mlflow <0a0",
        "fastmcp >=2.0.0,<4",
        "databricks-agents >=1.2.0,<2.0",
        "langchain >=0.3.26,<=1.3.0",
        "slowapi <1,>=0.1.9",
        "azureml-core >=1.2.0",
        "tiktoken <1",
        "azure-storage-file-datalake >12"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "7c37b0a5a68fa67b362b791c0e8c683a",
      "name": "mlflow-skinny",
      "sha256": "afa1bc5594291dad9de1d28a6e4eb5575c0a8adc4c1bd0cd5f29d5a6a822d15d",
      "size": 5552802,
      "subdir": "linux-aarch64",
      "timestamp": 1781003965783,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py313hbe56323_0.conda": {
      "build": "py313hbe56323_0",
      "build_number": 0,
      "constrains": [
        "google-cloud-storage >=1.30.0",
        "flask-wtf <2",
        "click !=8.3.0",
        "azure-storage-blob >=12",
        "tiktoken <1",
        "azureml-core >=1.2.0",
        "azure-storage-file-datalake >12",
        "databricks-agents >=1.2.0,<2.0",
        "watchfiles <2",
        "slowapi <1,>=0.1.9",
        "azure-identity >=1.6.1",
        "mlflow <0a0",
        "boto3 >=1.28.56,<2",
        "fastmcp >=2.0.0,<4",
        "langchain >=0.3.26,<=1.3.0",
        "uvicorn-standard <1"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "c30737a8c94434403e4581211e02604c",
      "name": "mlflow-skinny",
      "sha256": "16341e1ef8fc6055daa8c93562df1cd714ccce8a38f54bd97833a837abbf05e7",
      "size": 5583637,
      "subdir": "linux-aarch64",
      "timestamp": 1781003971576,
      "version": "3.13.0"
    },
    "mlflow-skinny-3.13.0-py314h6ca79aa_0.conda": {
      "build": "py314h6ca79aa_0",
      "build_number": 0,
      "constrains": [
        "azure-identity >=1.6.1",
        "uvicorn-standard <1",
        "watchfiles <2",
        "langchain >=0.3.26,<=1.3.0",
        "databricks-agents >=1.2.0,<2.0",
        "azureml-core >=1.2.0",
        "flask-wtf <2",
        "google-cloud-storage >=1.30.0",
        "tiktoken <1",
        "boto3 >=1.28.56,<2",
        "azure-storage-file-datalake >12",
        "slowapi <1,>=0.1.9",
        "click !=8.3.0",
        "fastmcp >=2.0.0,<4",
        "azure-storage-blob >=12",
        "mlflow <0a0"
      ],
      "depends": [
        "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 <2",
        "typing-extensions >=4.0.0,<5",
        "uvicorn <1"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "2f2878f2ced09ff1f304a49e47fbc99d",
      "name": "mlflow-skinny",
      "sha256": "58cf793dd5e9682bf13b5883199d2f4c973b663f0b97b5bbf87617ceb015e1fc",
      "size": 5784549,
      "subdir": "linux-aarch64",
      "timestamp": 1781003958647,
      "version": "3.13.0"
    }
  },
  "removed": [],
  "repodata_version": 1
}