{
  "channels": [
    "defaults"
  ],
  "conda_build_version": "3.18.9",
  "conda_private": false,
  "conda_version": "4.7.10",
  "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",
      "ocefpaf"
    ]
  },
  "home": "http://bokeh.pydata.org/",
  "identifiers": [],
  "keywords": [],
  "license": "BSD 3-Clause",
  "license_family": "BSD",
  "license_file": "LICENSE.txt",
  "root_pkgs": [
    "anaconda-client 1.7.2 py37_0",
    "asn1crypto 0.24.0 py37_0",
    "attrs 19.1.0 py37_1",
    "beautifulsoup4 4.7.1 py37_1",
    "binutils_impl_linux-64 2.31.1 h6176602_1",
    "binutils_linux-64 2.31.1 h6176602_7",
    "bzip2 1.0.6 h14c3975_5",
    "ca-certificates 2019.5.15 0",
    "cffi 1.12.3 py37h2e261b9_0",
    "chardet 3.0.4 py37_1",
    "clyent 1.2.2 py37_1",
    "cryptography 2.7 py37h1ba5d50_0",
    "curl 7.64.1 hbc83047_0",
    "decorator 4.4.0 py37_1",
    "expat 2.2.6 he6710b0_0",
    "filelock 3.0.10 py37_0",
    "gcc_impl_linux-64 7.3.0 habb00fd_1",
    "gcc_linux-64 7.3.0 h553295d_7",
    "git 2.20.1 pl526hacde149_0",
    "glob2 0.6 py37_1",
    "gxx_impl_linux-64 7.3.0 hdf63c60_1",
    "gxx_linux-64 7.3.0 h553295d_7",
    "icu 58.2 h9c2bf20_1",
    "idna 2.8 py37_0",
    "ipython_genutils 0.2.0 py37_0",
    "jinja2 2.10.1 py37_0",
    "jsonschema 3.0.1 py37_0",
    "jupyter_core 4.4.0 py37_0",
    "krb5 1.16.1 h173b8e3_7",
    "libarchive 3.3.3 h5d8350f_5",
    "libcurl 7.64.1 h20c2e04_0",
    "libedit 3.1.20181209 hc058e9b_0",
    "libffi 3.2.1 hd88cf55_4",
    "libgcc-ng 8.2.0 hdf63c60_1",
    "liblief 0.9.0 h7725739_2",
    "libssh2 1.8.2 h1ba5d50_0",
    "libstdcxx-ng 8.2.0 hdf63c60_1",
    "libxml2 2.9.9 he19cac6_0",
    "lz4-c 1.8.1.2 h14c3975_0",
    "lzo 2.10 h49e0be7_2",
    "markupsafe 1.1.1 py37h7b6447c_0",
    "nbformat 4.4.0 py37_0",
    "ncurses 6.1 he6710b0_1",
    "openssl 1.1.1c h7b6447c_1",
    "patchelf 0.9 he6710b0_3",
    "perl 5.26.2 h14c3975_0",
    "pip 19.1.1 py37_0",
    "pkginfo 1.5.0.1 py37_0",
    "psutil 5.6.2 py37h7b6447c_0",
    "py-lief 0.9.0 py37h7725739_2",
    "pycosat 0.6.3 py37h14c3975_0",
    "pycparser 2.19 py37_0",
    "pyopenssl 19.0.0 py37_0",
    "pyrsistent 0.14.11 py37h7b6447c_0",
    "pysocks 1.7.0 py37_0",
    "python 3.7.3 h0371630_0",
    "python-dateutil 2.8.0 py37_0",
    "python-libarchive-c 2.8 py37_6",
    "pytz 2019.1 py_0",
    "pyyaml 5.1 py37h7b6447c_0",
    "readline 7.0 h7b6447c_5",
    "requests 2.22.0 py37_0",
    "ruamel_yaml 0.15.46 py37h14c3975_0",
    "setuptools 41.0.1 py37_0",
    "six 1.12.0 py37_0",
    "soupsieve 1.8 py37_0",
    "sqlite 3.28.0 h7b6447c_0",
    "tk 8.6.8 hbc83047_0",
    "tqdm 4.31.1 py37_1",
    "traitlets 4.3.2 py37_0",
    "urllib3 1.24.2 py37_0",
    "wheel 0.33.4 py37_0",
    "xz 5.2.4 h14c3975_4",
    "yaml 0.1.7 had09818_2",
    "zlib 1.2.11 h7b6447c_3",
    "zstd 1.3.7 h0b5b093_0",
    "_libgcc_mutex 0.1 main",
    "certifi 2019.6.16 py37_1",
    "conda-package-handling 1.3.11 py37_0",
    "conda 4.7.10 py37_0",
    "conda-build 3.18.9 py37_0"
  ],
  "summary": "Statistical and novel interactive HTML plots for Python",
  "tags": []
}