djangoproject.com VS Installation

Not every project uses Github's advisories - e.g. Django: https://github.com/django/djangoproject.com/security/advisories - but projects often publish advisories on their own site (e.g. https://docs.djangoproject.com/en/4.1/releases/security/) or you might find them elsewhere (e.g. https://www.cvedetails.com/vulnerability-list/vendor_id-10199/product_id-18211/Djangoproject-Django.html)

I am not sure if this fits the enterprise definition but djangoproject.com is open source https://github.com/django/djangoproject.com

Probably https://github.com/django/djangoproject.com

Sure, but this is still going to be pretty limited when detecting non-PHP languages. How are you going to detect a language which puts no extra headers in HTTP response and has no associated extensions?

But, luckily for us, w3techs lets you check individual websites... and the data is often wrong or missing

github on server side is Javascript! https://w3techs.com/sites/info/github.com (it is actually Ruby)

Djagoproject.com on server side is unknown! https://w3techs.com/sites/info/djangoproject.com (it is actually Django, which is a Python web framework: https://github.com/django/djangoproject.com)

microsoft.com was using PHP and WordPress "unil recently" https://w3techs.com/sites/info/microsoft.com

gitlab.com is "ASP.NET, Python and Ruby (on subdomain) https://w3techs.com/sites/info/gitlab.com

google.com, youtube.com and amazon.com are unknown https://w3techs.com/sites/info/google.com etc..

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I stand by my opinion that w3techs is junk when determining types of server-side language. The only reason there are so much PHP is because PHP is the biggest major language left which is easy to detect. And they hide the low quality of the results it by not including "unknown" category in the graph -- with that category, it would be much clearer how bad their detection works.

"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