Installation VS rich

"The site" is actually just their blog. The github repo at https://github.com/netbox-community/netbox is more like the real homepage and has a good presentation.

Sweet! If it ends up anything like Netbox it will be so sweet. By looking at the screenshots I am very excited to see this implemented!

NetBox Release v3.6.6 is now live (as of November 29, 2023)!

Take a look at netbox. https://netbox.dev/

Pre-trained systems dominate AI today (as deep as the P in GPT). My team and I have been researching and building alternatives given how the hallucination, blackbox and other problems don't seem solvable within* the current paradigm.

One of our first applications is a network automation solution for Netbox-- locally trained AI Agents unique to each Netbox account to predict roles of newly added devices given the current local list of devices, like a context-aware autocomplete.

Agents are lightweight by design, this particular Netbox Agent is 40-neuron, and when hooked up demo.netbox.dev and consistently gets 80%+ accuracy predicting device roles even when trained on ~60 devices only.

Try it out: https://aolabs-netbox.streamlit.app/

You can use dummy data from demo.netbox.dev. More on Netbox: https://github.com/netbox-community/netbox

We'd keen for feedback, if this is useful, how we could extend it if it is, or if it sparks other application ideas.

* Somebody has to be the pre-trainer, leaving an irreducible gap of misunderstanding between AI and its application which we are trying to diminish by adding a layer of local training.

Before upgrading, please: 1. Verify in release notes changelog if any new breaking changes might affect you. You can also review the NetBox Issues on GitHub to see if any new issues have arisen that might affect you. 2. Next, refer to the Upgrading to a new NetBox Release guide for steps to upgrade your instance.

I've been looking into some projects for some opensource software i use and noticed a few of them have empty __init__.py files (for example https://github.com/netbox-community/netbox/blob/develop/netbox/core/__init__.py)

IT wise, It's been a fair few years since I've been in a department that does asset management, we used to use GLPI with it's warts and all, which got replace with https://github.com/netbox-community/netbox

There is an open issue [1] on GitHub to make it more modular and get rid of markdown and syntax highlighting but I have no hope for rich to get more minimal.

[1]: https://github.com/Textualize/rich/issues/2277

I hope he doesn't mind, but the creator of Rich and Textualize is a good guy, and Scottish: https://www.willmcgugan.com/about/

https://www.textualize.io/

https://github.com/Textualize/rich

They keep getting improved error messaging and this is one of my favorite features. But I'd love if we could get some real rich text. Idk if anyone else uses rich, but it has infected all my programs now. Not just to print with colors, but because it makes debugging so much easier. Not just print(f"{var=}") but the handler[0,1]. Color is so important to these types of things and so is formatting. Plus, the progress bars are nice and have almost completely replaced tqdm for me[2]. They're just easier and prettier.

[0] https://rich.readthedocs.io/en/stable/logging.html

[1] Try this example: https://github.com/Textualize/rich/blob/master/examples/exce...

[2] Side note: does anyone know how to get these properly working when using DDP with pytorch? I get flickering when using this and I think it is actually down to a pytorch issue and how they're handling their loggers and flushing the screen. I know pytorch doesn't want to depend on rich, but hey, pip uses rich so why shouldn't everyone?

colors.crumb extends Crumb with basic terminal styling functions and RGB, HEX, ANSI conversion functions. It is in the realm of JavaScript's chalk and Python's rich but slightly more functional 😉.

I am working on a new python project and one of the first things I added was https://github.com/Textualize/rich because of how easy it is to make things look good in the terminal.

I am not rewriting anything but I'd love to have a library like `rich` in Rust: https://github.com/textualize/rich

Add some cool-looking stuff to your output with rich.

You might consider taking inspiration from the rich module. In particular, I like how rich supports inline color theming which seems much more cumbersome in your framework, requiring the use of context managers as well as familiarity with how your framework structures color objects. Other than that though, I'm impressed!

Today I released coBib 4.0, my console bibliography manager written in Python, which now uses rich and textual to provide a cohesive and modern user experience in both its CLI and TUI.