django-unicorn VS Flask

Then there are stack-specific libraries: StimulusReflex for Rails, Phoenix LiveView, Laravel Livewire, Unicorn and Tetra for Django, Blazor for .NET, … and the list goes on.

- you get one of the best ORMs in existence with great relationship handling and generated admins

https://www.django-unicorn.com/

Not 1.0 yet but I'm using it in production and omgosh is it easy to crank out UIs.

There's a brilliant project called Django Unicorn that aims to be the equivalent of Laravel Livewire for Django. You should take a look.

https://www.django-unicorn.com/

That and HTMX + Alpine.js are a strong combination.

(I also had a bash at building a similar tool for Django called Tetra but unfortunately haven't had the time needed to commit to it: https://www.tetraframework.com)

I think all LiveView frameworks should be part of this.

Here are two Python ones I've tried:

https://www.django-unicorn.com/

I'm biased since I created https://www.django-unicorn.com/, but I have a few thoughts. :)

Have you looked into Django Unicorn?

Check out https://www.django-unicorn.com/ it is like htmx but is closer to Django.

When I was exploring the space, django-unicorn looked interesting also. But HTMX got me so far, so easily, that I didn't give unicorn a fair shake.

I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:

https://github.com/pallets/flask

#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)

I was looking at all the big projects like numpy, pytorch, flask, etc.

Explore here.

I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.

Now...

Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?

- [0]: https://flask.palletsprojects.com

- [1]: https://flask-admin.readthedocs.io/en/latest

- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery

- [3]: https://sentry.io

- [4]: https://posthog.com

- [5]: https://www.docker.com

In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.

Flask Micro web Framework: You will use Flask to build a Flask web application.

In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.