A simple way to explore data through a Tableau-like UI directly in your data app

  • I believe this is just a wrapper around pygwalker, which is a nice project: https://github.com/Kanaries/pygwalker

    I really like the typescript graphic walker: https://github.com/Kanaries/graphic-walker

  • Perhaps I've missed it but my number one request for these tools is to support time series data and analyses (or other data "structures" in general). The focus on beautiful visualization and easy graphical interfaces is great, but thinking outside the tabular box would be very helpful.

  • Contributor to panel-graphic-walker and Panel here.

    Its actually primarily a wrapper around graphic-walker https://github.com/Kanaries/graphic-walker as we have optimized the implementation for Panel usage in notebooks and data apps.

    Its built on Panel https://panel.holoviz.org/index.html which is "The Powerful Data Exploration & Web App Framework for Python". Its a fully open source and community driven project. Part of the larger HoloViz https://github.com/holoviz/holoviz ecosystem for data visualization.

    My motivation for creating the panel-graphic-walker extension is that its one of the most powerful ways in Python to let users interactively, explore large datasets as it can send heavy calculations to the backend instead of transferring all data to the frontend.

  • Reminds me of https://www.glideapps.com/

  • Holoviz and Panels look interesting. Has anybody here used them successfully in their analysis workflows?

  • If you want to support the Panel project, the easiest way to do this is to give a star on Github: https://github.com/holoviz/panel. Much appreciated. Thanks.

  • Would be great to have something like this for Zeppelin notebooks or similar.