bokeh streaming [SWR 19-08]

RESOURCE

Abstract

Simple examples of bokeh streaming data. The plots are intended to be generic and able to infer some of the plot data from the structure of the data sent. The receiver accepts zlib compressed pickled python dictionaries.
Developers:
Simpson, Jeffery [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Release Date:
2019-11-02
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
34983
Site Accession Number:
SWR-19-08
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Simpson, Jeffery. bokeh streaming [SWR 19-08]. Computer Software. https://github.com/NREL/bokeh-streaming. USDOE Office of Electricity Delivery and Energy Reliability (OE). 02 Nov. 2019. Web. doi:10.11578/dc.20200403.1.
Simpson, Jeffery. (2019, November 02). bokeh streaming [SWR 19-08]. [Computer software]. https://github.com/NREL/bokeh-streaming. https://doi.org/10.11578/dc.20200403.1.
Simpson, Jeffery. "bokeh streaming [SWR 19-08]." Computer software. November 02, 2019. https://github.com/NREL/bokeh-streaming. https://doi.org/10.11578/dc.20200403.1.
@misc{ doecode_34983,
title = {bokeh streaming [SWR 19-08]},
author = {Simpson, Jeffery},
abstractNote = {Simple examples of bokeh streaming data. The plots are intended to be generic and able to infer some of the plot data from the structure of the data sent. The receiver accepts zlib compressed pickled python dictionaries.},
doi = {10.11578/dc.20200403.1},
url = {https://doi.org/10.11578/dc.20200403.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20200403.1}},
year = {2019},
month = {nov}
}