{
  "repodata": {
    "build": "py311hc6c3090_0",
    "build_number": 0,
    "constrains": [
      "psycopg2 >=2.9.3,<3",
      "sqlmodel >=0.0.19,<0.0.20"
    ],
    "depends": [
      "analytics-python >=2.3,<3.0",
      "apscheduler >=3.9.1,<4.0",
      "category_encoders >=2.3.0,<3.0.0",
      "click >=8.1,<9.0",
      "flaml >=2.3.3,<3.0",
      "gcsfs >=2022.5.0",
      "jinja2 >=3.1",
      "joblib >=1.1.0,<2.0",
      "lightgbm >=3.3,<4.6",
      "matplotlib-base >=3.7,<4.0",
      "numpy >=1.23",
      "pandas >=1.4",
      "plotly >=5.6.0,<6.0",
      "pyarrow >=13.0.0",
      "pydantic >=2.7",
      "pyfiglet >=0.8.post1,<0.9",
      "python >=3.11,<3.12.0a0",
      "python-dateutil >=2.8,<3.0.0",
      "python-dotenv >=1.0,<2.0",
      "python-kaleido >=0.2,<0.3",
      "pyyaml >=6.0,<7.0",
      "rich >=12.5",
      "s3fs >=2022.8.2",
      "scikit-learn >=1.3,<2.0",
      "scipy >=1.9.2",
      "seaborn >=0.13,<0.14"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "f45872f0c4d3e95b1149cab67bcfbf63",
    "name": "nannyml",
    "sha256": "9dc4e11e955fdf22cac032ac8b5cf5f330c00dd14da9d68c7b1359a56b4c00fd",
    "size": 18541788,
    "subdir": "linux-64",
    "timestamp": 1791970838444,
    "version": "0.13.1"
  },
  "s3": "builds/ci/prefect/D50A8KH2RDelo1ClhN4nsg/1791971122/linux-64/nannyml-0.13.1-py311hc6c3090_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8bbf1502bb71476e9b4435d805d6920946d07093398e02ec9bddefe6b01b75775417b0a1a034b17cff3229081ce397cfeb3bb26c7ce551570354542bdd7d130f"
  }
}