dream-html VS cookiecutter-django

There is some truth to this. Imho the next level of htmx is unlocked when you componentize everything like a React app...but with nested routes corresponding to nested components like a Remix app...and using an HTML generation DSL embedded directly in your language, so HTML becomes a first-class citizen of your language's constructs, rather than a templated afterthought. I have a demo of this: https://github.com/yawaramin/dream-html/tree/todoapp/app

Nowadays I highly recommend HTML embedding libraries directly in the programming language. E.g. ScalaTags https://com-lihaoyi.github.io/scalatags/ or (my own) https://github.com/yawaramin/dream-html

Yes, you give up the ability of designers and frontend-only people to easily work with the HTML templates. But in exchange you get quite a lot.

I found your article very informative and it matches up quite a bit with my own thinking about HTML generation. In fact it looks like we independently arrived at pretty much the same conclusions. A lot of the issues you raise are the impetus behind the way I designed my HTML-generation DSL: https://github.com/yawaramin/dream-html

I am developing an HTML generation library on top of Dream, to have great support in the language including htmx support: https://yawaramin.github.io/dream-html/dream-html/Dream_html/index.html

Look at this code which prints out an HTML tag: https://github.com/yawaramin/dream-html/blob/main/lib/dream_...

Initially you might think generating HTML tags from data structures in code should be a simple matter. But there are complexities--some tags are defined as having no child tags, others do. Some tags are purely character data (unstructured text), not structured data. Some are just comments. We need a way to compose multiple tags together into a single 'virtual' tag for flexible HTML generation. All these conditions can be pretty hard to keep track of--unless your compiler does exhaustiveness checking. Then the compiler will tell you if you missed any cases.

In the example above I didn't make any manual effort to cover all the cases, I simple listed out the cases I wanted to handle in order. The compiler made sure that I didn't miss any.

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.