{
  "repodata": {
    "build": "py313hd43f75c_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": "4da200cef3d8faf87b978d05d1b8847c",
    "name": "seaborn",
    "sha256": "cf887b4b86d73fc0bd4b9beb657c19ecc42f0ccd420caa70a84160e70c879cec",
    "size": 697559,
    "subdir": "linux-aarch64",
    "timestamp": 1791903469449,
    "version": "0.13.2"
  },
  "s3": "builds/ci/prefect/AF6nuf1fTJGfu0C2nsqlaw/1791904011/linux-aarch64/seaborn-0.13.2-py313hd43f75c_4.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "0750286bc8582aae88e26a03123ef550163dece6eba3f630861049c9367241a0406b978928ed32caaca71cfdf1f53d8ad0f7a3651a5f9065ab6cc2de7afd4e0a"
  }
}