build-a-saas-app-with-flask
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build-a-saas-app-with-flask | uvicorn | |
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38 | 56 | |
927 | 7,682 | |
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3 months ago | 8 days ago | |
HTML | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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build-a-saas-app-with-flask
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We Have to Talk About Flask
I've been maintaining my Build a SAAS App with Flask video course[0] for 8 years. It has gone from pre-1.0 to 2.3 and has been recorded twice with tons of incremental updates added over the years to keep things current.
In my opinion tutorial creators should pin their versions so that anyone taking the course or going through the tutorial will have a working version that matches the video or written material.
I'm all for keeping things up to date and do update things every few months but rolling updates don't tend to work well for tutorials because sometimes a minor version requires a code change or covering new concepts. As a tutorial consumer it's frustrating when the content doesn't match the source code unless it's nothing but a version bump.
I've held off upgrading Flask to 3.0 and Python 3.12 due to these open issues with 3rd party dependencies https://github.com/nickjj/docker-flask-example/issues/17.
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Show HN: The pure Python SaaS starter kit
Build a SAAS App with Flask. Course / Boilerplate. https://buildasaasappwithflask.com/
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starter project?
Personally I maintain https://github.com/nickjj/docker-flask-example. There's also https://github.com/nickjj/build-a-saas-app-with-flask if you want more opinions.
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Django 4.1 Released
Thanks a lot!
By the way the version of the course on Udemy doesn't get updated. The full version of the course is at https://buildasaasappwithflask.com/ which includes lifetime free updates (it has over 10+ hours of extra updates and new features not on the Udemy version). Udemy is a really bad platform for instructors which is why I've been trying hard to decouple myself from them over time.
As for a tutorial on using this repo specifically, did you find the readme file lacking in any way? I tried to write the readme to be fully self contained. It would expect prior Docker knowledge tho. I did give a talk at DockerCon going over a bunch of Docker best practices at https://nickjanetakis.com/blog/best-practices-around-product.... It was using a Flask example repo not Django but everything still applies. The same patterns are used.
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Bittersweet Symfony: Devs accidentally turn off CSRF protection in PHP framework
Indeed, you can also create a Jinja macro to auto-insert the token into all of your forms too, here's a code example[0]. It's a 100% solved problem both on the Flask back-end and template side with an ability to opt out of it when you need to on the back-end such as accepting webhooks from another service.
[0]: https://github.com/nickjj/build-a-saas-app-with-flask/blob/1...
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Gunicorn
Gunicorn is one of my favorite app servers. I've been using Gunicorn in production on a bunch of projects (any Flask / Django project) for around 8 years now. It's rock solid and extremely predictable.
I also use Gunicorn in development too, it supports code reloading and also lets you enable Flask's debug middleware so you can use the interactive debugger. This is all configured in my Build a SAAS App with Flask course, a code example is here: https://github.com/nickjj/build-a-saas-app-with-flask.
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Miguel Grinberg Book/Tutorial
That makes sense. Also do you have any experience with https://buildasaasappwithflask.com/ ?
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Corey Schafer vs Miguel Grinberg to learn Flask? Any other course recommendations?
Can’t speak to Corey Schafer’s, but I found this course here to be much better than Miguel’s https://buildasaasappwithflask.com/
- The rise of the one-person unicorn
uvicorn
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LangChain, Python, and Heroku
This tells Heroku to run uvicorn, which is a web server implementation in Python.
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Fun with Avatars: Crafting the core engine | Part. 1
FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
Now, let’s run our FastAPI application using Uvicorn: uvicorn main:app --reload
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FastHttp for Python (64k requests/s)
Uvicorn + Starlette 8k requests/s
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Ask HN: Where to Host a FastAPI App
I switched to Hypercorn because Uvicorn currently supports HTTP/1.1 and WebSockets as mentioned at https://www.uvicorn.org
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How to use Chroma to store and query vector embeddings
This will set up Chroma and run it as a server with uvicorn, making port 8000 accessible outside the net docker network. The command also mounts a persistent docker volume for Chroma's database, found at chroma/chroma from your project's root.
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Unresolved Memory Management Issues in FastAPI/Starlette/Uvicorn/Python During High-Load Scenarios
There's an open discussion under the Uvicorn repository and we prepared a repository for Reproduction GitHub Repo
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How to Dockerize and Deploy a Fast API Application to Kubernetes Cluster
FastAPI is a popular Python Web framework that developers use to create RESTful APIs. It is based on Pydantic and Python-type hints that assist in the serialization, deserialization, and validation of data. In this tutorial, we will use FastAPI to create a simple "Hello World" application. We test and run the application locally. FastAPI requires a ASGI server to run the application production such as Uvicorn.
- FastAPI 0.100.0:Release Notes
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Unlocking Performance: A Guide to Async Support in Django
Uvicorn and Daphne are both ASGI server implementations that can be used with Django to serve your application using the ASGI protocol. Uvicorn is built on top of the uvloop library, which is a fast implementation of the event loop based on libuv, while Daphne is maintained as part of the Django Channels project and was designed to handle the unique requirements of Django applications that utilize asynchronous features, such as real-time updates, bidirectional communication, and long-lived connections.
What are some alternatives?
daphne - Django Channels HTTP/WebSocket server
hypercorn
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Flask - The Python micro framework for building web applications.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
starlette - The little ASGI framework that shines. 🌟
uvloop - Ultra fast asyncio event loop.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
mkcert - A simple zero-config tool to make locally trusted development certificates with any names you'd like.
sentry-asgi - Sentry integration for ASGI frameworks.
cookiecutter-flask - A flask template with Bootstrap, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.
strawberry - A GraphQL library for Python that leverages type annotations 🍓