django-oscar VS Installation

Using the open source e-commerce framework Django-Oscar as an example.

Django-Oscar, the open-source ecommerce framework, sparked my interest as a Python/Django developer and a small business supporter because it allows developers to host their own online shops. The Django-Oscar framework “manages a 12 million item catalog supported by 100+ suppliers for a single project,” and provides the opportunity to customize the core functionality to support creative implementations. The ability to customize an implementation of an ecommerce framework is unique, as opposed to out-of-the-box ecommerce solutions like Shopify. Django-Oscar also has an extensive test suite and detailed documentation.

I never used it myself, I'd check the docs : https://github.com/django-oscar/django-oscar

Oscar

Check out Oscar. It's highly customizable.

If you are looking for usage of class based views and templating then Oscar is a good shout.

https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216

Oscar just works man: http://oscarcommerce.com/

Is there anything specific that's not clear from reading its website ("Why choose Oscar?", "Problems Oscar is already solving") or looking at the documentation ("Features", "Example requirements that Oscar projects already handle")?

I want to dip my toes into eCommerce with Wagtail. I came across the django-oscar-wagtail which brings django-oscar into Wagtail with supposedly seamless compatibility. From what I can see, django-oscar-wagtail is very outdated, the last update to that repository was 3 years ago and there are quite a lot of submitted issues regarding incompatibilities with the newer versions of Wagtail and Django.

"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