{
  "repodata": {
    "build": "py313h06a4308_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 >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "d4c9649e8f8f3b3571261313ca5e0c58",
    "name": "seaborn",
    "sha256": "6100e2e31a268b2d2edb217c1c892ecbb29f001bdf49322cf58f8264d8816cd6",
    "size": 696320,
    "subdir": "linux-64",
    "timestamp": 1791963716199,
    "version": "0.13.2"
  },
  "s3": "builds/ci/prefect/a6Pz5PpUTauigMF1JpMVUg/1791964131/linux-64/seaborn-0.13.2-py313h06a4308_4.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "381dda52fac5c1308d4b1a0f81de0fb093e4eebece2e85622e2bc23c1681da0a1ed1d998bb9eac5cddce564f8759641abb0bc1066c55120b9f182d8130276d09"
  }
}