{
  "repodata": {
    "build": "py311hd43f75c_4",
    "build_number": 4,
    "constrains": [
      "scipy >=1.7",
      "statsmodels >=0.12"
    ],
    "depends": [
      "matplotlib-base >=3.4,!=3.6.1",
      "numpy >=1.20,!=1.24.0",
      "pandas >=1.2",
      "python >=3.11,<3.12.0a0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "8395816b71fd251dbb4a5db4610c3ce3",
    "name": "seaborn",
    "sha256": "665dbf3dc1c45628f22e93a08bd9ec52833ab5abfbc444930a346de375fb1b0e",
    "size": 764605,
    "subdir": "linux-aarch64",
    "timestamp": 1791903471856,
    "version": "0.13.2"
  },
  "s3": "builds/ci/prefect/AF6nuf1fTJGfu0C2nsqlaw/1791904011/linux-aarch64/seaborn-0.13.2-py311hd43f75c_4.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8717033357c9515ec144119f0e22c2ba3ef1b14d6631c95094ad923c8f9fd663d386e180965cc9decc8fcd8ad5925f1626ebf516aa5daa1d334e27794a0b4809"
  }
}