{
  "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": "e69588ee7473f1fb8bbe476e2c837933",
    "name": "seaborn",
    "sha256": "1e0ec05d3f3a116d323d482d2e05fb67a32581a7196b9c1e511f2dfea0379d3d",
    "size": 746294,
    "subdir": "linux-64",
    "timestamp": 1791963716199,
    "version": "0.13.2"
  },
  "s3": "builds/ci/prefect/a6Pz5PpUTauigMF1JpMVUg/1791964131/linux-64/seaborn-0.13.2-py313h06a4308_4.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "6842e47d41bcc811556a2ab94d930e21dd43e9ef06339d72b7bbd53996b2a8d2b0ff79ef8be3109b0efc84016242d4cdc21ce9783930f5a0c001577019e11a0b"
  }
}