kr8s VS panel

kr8s – A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl

We’ll import the kr8s package to interact with the cluster, and when you’ll remove arguments from the main function, you will also see them disappear from the input section! Quite neat.

For the last few months I’ve been tinkering with a new Kubernetes client library for Python called kr8s.

https://github.com/kr8s-org/kr8s

The project has reached the point where it has enough features and is stable enough that I’m starting to use it in my other projects, so it feels like a good time to announce it to the world.

I intend to post about my journey building kr8s so if you’re interested in following along then subscribe to my blog in your favourite RSS reader or follow me on the birdsite.

I'll stick around and respond to comments if folks have any questions :).

panel – data exploration & web app framework for Python

https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.

I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py

If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).

panel

My suggestion is https://panel.holoviz.org/

Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.

I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.

Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).

Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.