{
  "repodata": {
    "build": "py314hd43f75c_0",
    "build_number": 0,
    "depends": [
      "aiohttp",
      "numpy",
      "pandas <3.0.0",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "requests",
      "scikit-learn",
      "tqdm",
      "utilsforecast >=0.0.8",
      "xlrd >=1.0.0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "fdfc184328a4c9238534a73a22243dae",
    "name": "datasetsforecast",
    "sha256": "58b1d8a5ce59b7e0f4748ef11227a78580fbfd171650a1871b470d4d70f432ca",
    "size": 73331,
    "subdir": "linux-aarch64",
    "timestamp": 1784188723507,
    "version": "1.0.1"
  },
  "s3": "builds/ci/prefect/dSVh9n9CQFSi54b11tWlAQ/1784189243/linux-aarch64/datasetsforecast-1.0.1-py314hd43f75c_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "53b27d9f31b64e63bdb77716b8801aacc7e86d64c739790f424fbe48314f84a5db8ee3d065e6530990c2c46315d3688faab327d8b6560322edd46fe233fbb50a"
  }
}