Panel is the powerful data exploration & web app framework for Python. Works in the notebook and on web server.
The Panel 1.0 release is here and it brings a huge number of improvements. The largest improvements in this release come from an upgrade from Bokeh 2.x to Bokeh 3.x. Bokeh overhauled its internal layout engine and stylesheet handling, making applications significantly more performant and customizable going forward.
Check out the full release announcement here.
FloatPanel
If you need a floating panel for your notebook tool or your data app we’ve got you covered.
Check out the documentation here
Want to run Jupyterlite with support for Panel? Try Panelite.
Or build your own. See Setting up Jupyterlite
With Panel 1.0 we’ve started a journey of providing different designs like Bootstrap, Material and Vanilla. This makes it possible to easily create beautifully styled components that also work in your notebook.
For example this one
Check out the docs. See Apply a Design
You can also check out some of the new features in this slideshow.
This is created using the new Slides Template for Panel.
Swipe
Panel 1.0 adds a new Swipe layout that can be used to compare any objects that Panel can display, including images, plots, maps, tables, videos and more.
