{
  "channels": [
    "https://repo.anaconda.com/pkgs/r"
  ],
  "conda_build_version": "3.21.4",
  "conda_private": false,
  "conda_version": "4.10.3",
  "description": "Bokeh is a Python interactive visualization library that targets\nmodern web browsers for presentation. Its goal is to provide elegant,\nconcise  construction of novel graphics in the style of D3.js, and to\nextend this capability with high-performance interactivity over very\nlarge or streaming datasets. Bokeh can help anyone who would like to\nquickly and easily create interactive plots, dashboards, and data\napplications.\n",
  "dev_url": "http://github.com/bokeh/bokeh",
  "doc_url": "http://bokeh.pydata.org/en/latest/docs/user_guide.html",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "almarklein",
      "jakirkham",
      "mattpap",
      "ocefpaf",
      "philippjfr"
    ]
  },
  "home": "http://bokeh.pydata.org/",
  "identifiers": [],
  "keywords": [],
  "license": "BSD-3-Clause",
  "license_family": "BSD",
  "license_file": "LICENSE.txt",
  "root_pkgs": [
    "_libgcc_mutex 0.1 main",
    "_openmp_mutex 4.5 1_gnu",
    "beautifulsoup4 4.9.3 pyha847dfd_0",
    "brotlipy 0.7.0 py38h27cfd23_1003",
    "bzip2 1.0.8 h7b6447c_0",
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    "chardet 4.0.0 py38h06a4308_1003",
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    "cryptography 3.4.7 py38hd23ed53_0",
    "filelock 3.0.12 pyhd3eb1b0_1",
    "glob2 0.7 pyhd3eb1b0_0",
    "icu 58.2 he6710b0_3",
    "idna 2.10 pyhd3eb1b0_0",
    "ld_impl_linux-64 2.35.1 h7274673_9",
    "libarchive 3.4.2 h62408e4_0",
    "libffi 3.3 he6710b0_2",
    "libgcc-ng 9.3.0 h5101ec6_17",
    "libgomp 9.3.0 h5101ec6_17",
    "liblief 0.10.1 he6710b0_0",
    "libstdcxx-ng 9.3.0 hd4cf53a_17",
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    "markupsafe 2.0.1 py38h27cfd23_0",
    "ncurses 6.2 he6710b0_1",
    "openssl 1.1.1k h27cfd23_0",
    "patchelf 0.12 h2531618_1",
    "pkginfo 1.7.0 py38h06a4308_0",
    "psutil 5.8.0 py38h27cfd23_1",
    "py-lief 0.10.1 py38h403a769_0",
    "pycosat 0.6.3 py38h7b6447c_1",
    "pycparser 2.20 py_2",
    "pyopenssl 20.0.1 pyhd3eb1b0_1",
    "pysocks 1.7.1 py38h06a4308_0",
    "python 3.8.10 h12debd9_8",
    "python-libarchive-c 2.9 pyhd3eb1b0_1",
    "pytz 2021.1 pyhd3eb1b0_0",
    "pyyaml 5.4.1 py38h27cfd23_1",
    "readline 8.1 h27cfd23_0",
    "requests 2.25.1 pyhd3eb1b0_0",
    "ripgrep 12.1.1 0",
    "ruamel_yaml 0.15.100 py38h27cfd23_0",
    "setuptools 52.0.0 py38h06a4308_0",
    "soupsieve 2.2.1 pyhd3eb1b0_0",
    "tk 8.6.10 hbc83047_0",
    "xz 5.2.5 h7b6447c_0",
    "yaml 0.2.5 h7b6447c_0",
    "zlib 1.2.11 h7b6447c_3",
    "zstd 1.4.9 haebb681_0",
    "ca-certificates 2021.7.5 h06a4308_1",
    "libxml2 2.9.12 h03d6c58_0",
    "sqlite 3.36.0 hc218d9a_0",
    "six 1.16.0 pyhd3eb1b0_0",
    "tqdm 4.61.2 pyhd3eb1b0_1",
    "jinja2 3.0.1 pyhd3eb1b0_0",
    "urllib3 1.26.6 pyhd3eb1b0_1",
    "conda 4.10.3 py38h06a4308_0"
  ],
  "summary": "Statistical and novel interactive HTML plots for Python",
  "tags": []
}