./wip/py-bokeh, Statistical and novel interactive HTML plots for Python

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Branch: CURRENT, Version: 0.12.2, Package name: py37-bokeh-0.12.2, Maintainer: kamelderouiche

Bokeh is a Python interactive visualization library that targets modern web
browsers for presentation. Its goal is to provide elegant, concise
construction of novel graphics in the style of D3.js, but also deliver this
capability with high-performance interactivity over very large or streaming
datasets. Bokeh can help anyone who would like to quickly and easily
create interactive plots, dashboards, and data applications.


Required to run:
[textproc/py-markdown] [textproc/py-yaml] [time/py-dateutil] [time/py-pytz] [textproc/py-pygments] [textproc/py-jinja2] [net/py-zmq] [www/py-werkzeug] [www/py-flask] [www/py-tornado] [textproc/py-markupsafe] [devel/py-requests] [security/py-itsdangerous] [devel/py-greenlet] [lang/py-six] [comms/py-colorama] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: e5dd2276e923dbeb061e07166cff795c03d08f68
RMD160: 7338a80467b3dd5e26a225eb8a742baa82718225
Filesize: 3537.933 KB

Version history: (Expand)


CVS history: (Expand)


   2015-07-04 06:17:56 by Kamel Ibn Aziz Derouiche | Files touched by this commit (4)
Log message:
Import py27-bokeh-0.9.1 as wip/py-bokeh.

Bokeh is a Python interactive visualization library that targets modern web
browsers for presentation. Its goal is to provide elegant, concise
construction of novel graphics in the style of D3.js, but also deliver this
capability with high-performance interactivity over very large or streaming
datasets. Bokeh can help anyone who would like to quickly and easily
create interactive plots, dashboards, and data applications.