dbbk

A streaming visualization library written with bokeh.

Installation

1. Get bokeh, pandas, flask, nodejs with your favourite package manager.
2. Clone this repo

Philosophy

• Too much information is worse than

• Data is shared, visualization is personal.

  A new window may have different plot arrangements, experiments plotted, etc.

Run

python bokeh_flask.py

A browser window will popup.

You can now send data opening a new window and typing

http://localhost:8080/add/experiment1/variable1/1/1

then

http://localhost:8080/add/experiment1/variable1/2/2

Click 'Add Plot' button.

Wait a couple of seconds and drag a table row to the plot.

Related projects

• visdom
• tensorflow