django-q VS cookiecutter-django

Other options are DjangoQ and Huey, which tend to work ok. Of the two I prefer DjangoQ. Database backed, don't require the Redis/Celery rigmarole.

If you want a "simple" solution for sending email, the simplest that will likely last you the longest is using DjangoQ to create a background task that looks for model records that have not been emailed. Then use Sendgrid with an email backend to send them. You can use a library that already provides a Sendgrid email backend as well.

Take a look at Django-Q I was using it before moving to celery. Seems great just wanted experience with celery. Much simpler to get setup. Even use Django admin to schedule your tasks. Other option is a management command thats called using the full path of the python virtual env from a cron entry.

App Platform is a great concept, but we hit a dealbreaking road block when trying to migrate some Python apps with job queues. Their runtime (gVisor) doesn't support semaphore locks, which is used by Pythons multiprocessing and in turn used by most job runners (we discovered it with django-q, but I think most, if not all of them including Celery, rely on this, see link below).

The build times for Dockerfiles are also atricious… our build failed after 40 minutes by running out of memory and the multi-stage Dockerfile really wasn't anything special. We would have just used the images hosted on Github Container Registry, but App Platform only supports a limited range of Docker registries too. Note: the images build in 3 minutes on Github Actions.

As far as I can see it is also not possible to add any block storage too. While I mostly work on projects that use object storage anyway, SOME things just need persistent block storage. Which is annoying, since DigitalOcean HAS block storage… just not for App Platform.

I really wanted to use it, but man they make it hard.

https://github.com/Koed00/django-q/issues/522#issuecomment-1...

I use Django Q with ORM broker. Store tasks in db and retry if failed. You can also view/manage your queue in Django admin if you use ORM as broker (https://django-q.readthedocs.io/en/latest/brokers.html#django-orm).

django-q - Light weight task queue. When celery is too much over head.

Check out https://github.com/Koed00/django-q

Falco, in contrast to cookiecutter-django, aims to enhance the Django developer experience beyond project generation. It provides a CRUD generator and guides on various Django topics such as task queues, multitendency, deployment, realtime, etc.

It's not a tutorial but it's a resource to generate a Python+Django project with celery and Dockerfiles and other things you mentioned : https://github.com/cookiecutter/cookiecutter-django

There are very useful packages for bootstrapping your Django projects in minutes such as django-cookiecutter and djangox. If you are a seasoned developer I'd highly recommend using one of these instead of what I'm going to show here. But if you are struggling with the project structure of these packages as a beginner to intermediate Django developer and looking to structure your own Django projects in a better way, I have created a lightweight setup that deals with the basics of setting up a Django project with PostgreSQL as database and TailwindCSS as our styling library.

And so, the idea for cookiecutter-django-lite came into existence. I am an absolute fan of https://github.com/cookiecutter/cookiecutter-django - but for a lot of use cases this template is an overkill so I thought a barebones version of this will be superuseful - and that's how the idea of cookiecutter-django-lite was born.

Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)

I'm obviously biased, so take what I say with a grain of salt, but I also probably know more about this space than ~anyone else. I'd say that your characterization is pretty accurate. There are many similar products to Pegasus (you can find a pretty comprehensive list here: https://github.com/smirnov-am/awesome-saas-boilerplates) but most of them are either more focused on infrastructure/setup (e.g. cookiecutter-django or - as you noted - far less mature/maintained (most of the others on that list).

I followed a lot of the guidance found in this "template" here: https://github.com/cookiecutter/cookiecutter-django

If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on.

Boilerplate is not in opposition to productivity. Especially when it’s all written for you, as it is in Django, Rails, etc. You can start with something like Cookiecutter Django.