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wip/py-bokeh,
Statistical and novel interactive HTML plots for Python
Branch: CURRENT,
Version: 3.4.2,
Package name: py311-bokeh-3.4.2,
Maintainer: matthewdBokeh 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:
Filesize: 6259.196 KB
Version history: (Expand)
- (2024-07-01) Updated to version: py311-bokeh-3.4.2
- (2024-06-30) Updated to version: py311-bokeh-3.4.1nb1
- (2024-05-01) Updated to version: py311-bokeh-3.4.1
- (2023-02-13) Package has been reborn
- (2022-07-11) Updated to version: py310-bokeh-2.4.3
- (2021-10-08) Updated to version: py39-bokeh-2.2.3
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.
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