django-oscar VS label-studio

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 From what I can see, django-oscar-wagtail is very outdated, the last update to that repository was 3 years ago and there are quite a lot of submitted issues regarding incompatibilities with the newer versions of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.

If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.

14. LabelStudio by Human Signal | Github | tutorial

For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

Huh?

I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.

My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.

Pytorch is open source, Huggingface is open source. CUDA isn't. This is

https://labelstud.io/

and for annotating text spans there are so many open source tools

https://github.com/doccano/doccano

I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.

LabelStudio is free for single use. https://labelstud.io/

LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.

Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.