{
  "channels": [
    "local",
    "local"
  ],
  "conda_build_version": "3.0.15+50.g6024f3f",
  "conda_private": false,
  "conda_version": "4.3.21",
  "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>",
    "CONDA_DEFAULT_ENV": "root",
    "CONDA_ENVS_PATH": "<not set>",
    "LD_LIBRARY_PATH": "<not set>",
    "PATH": "/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
    "PYTHONHOME": "<not set>",
    "PYTHONPATH": "<not set>"
  },
  "home": "http://bokeh.pydata.org/",
  "license": "BSD 3-Clause",
  "license_family": "BSD",
  "root_pkgs": [
    "libffi 3.2.1 1",
    "asn1crypto 0.22.0 py36_0",
    "filelock 2.0.7 py36_0",
    "patchelf 0.9 0",
    "tk 8.5.18 0",
    "beautifulsoup4 4.6.0 py36_0",
    "xz 5.2.2 1",
    "ruamel_yaml 0.11.14 py36_1",
    "cryptography 1.8.1 py36_0",
    "conda-verify 2.0.0 py36_0",
    "pyyaml 3.12 py36_0",
    "requests 2.14.2 py36_0",
    "openssl 1.0.2l 0",
    "python 3.6.1 2",
    "yaml 0.1.6 0",
    "wheel 0.29.0 py36_0",
    "pytz 2017.2 py36_0",
    "setuptools 27.2.0 py36_0",
    "pyopenssl 17.0.0 py36_0",
    "zlib 1.2.8 3",
    "jinja2 2.9.6 py36_0",
    "pycparser 2.17 py36_0",
    "packaging 16.8 py36_0",
    "pycosat 0.6.2 py36_0",
    "anaconda-client 1.6.3 py36_0",
    "pip 9.0.1 py36_1",
    "readline 6.2 2",
    "sqlite 3.13.0 0",
    "idna 2.5 py36_0",
    "pyparsing 2.1.4 py36_0",
    "cffi 1.10.0 py36_0",
    "conda-env 2.6.0 0",
    "python-dateutil 2.6.1 py36_0",
    "glob2 0.5 py36_0",
    "markupsafe 1.0 py36_0",
    "conda 4.3.21 py36_0",
    "clyent 1.2.2 py36_0",
    "six 1.10.0 py36_0"
  ],
  "summary": "Statistical and novel interactive HTML plots for Python"
}