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Interactive live object visualization for python

Project description

.. image:: :target: :alt: PyPi version

Data visualization made easier

This is a project for interactive data visualization

It uses a dedicated web app with cards that display python variables.

Check out the notebooks folder for examples

Jump right in: Quick start <>_.

Quick start

.. code-block:: python

from webvis import Vis import time

vis = Vis(vis_port=7007) vis.start()

Opens the browser on 7007 port

Live plotting

for i in range(0,100): vis.vars.line = [(2**x)%100 for x in range(i)] time.sleep(.2)

Add a widget, call it "line", and a live plot appears.

WebVis is a live object visualization tool, best used with jupyter notebook.

A separate thread is created that checks the changes. No network requests performed in main thread.

Values can be matplotlib figures, 1-d and 2-d arrays, and even bokeh is supported!


Project details

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