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

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Branch: CURRENT, Version: 2.2.3, Package name: py38-bokeh-2.2.3, 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: 1085a8bc19d3850dd0139d472b881150732bb9f8
RMD160: 089ffa74c053f879ff14808d58c5ade6f1ac0f55
Filesize: 8640.989 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.