cookiecutter-django
fastapi
cookiecutter-django | fastapi | |
---|---|---|
55 | 469 | |
11,562 | 71,223 | |
0.9% | - | |
9.8 | 9.8 | |
7 days ago | 2 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cookiecutter-django
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falco VS cookiecutter-django - a user suggested alternative
2 projects | 26 Jan 2024
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.
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Advanced Python/Django tutorial that ties together multiple technologies
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
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Setting up Django in a Better Way in 5 Minutes and Understanding How It Works
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.
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A lightweight cookiecutter template for Django - focused specifically on building APIs
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.
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Template for Django Projects
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)
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Django SaaS Package
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).
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Need help deploying my first project.
I followed a lot of the guidance found in this "template" here: https://github.com/cookiecutter/cookiecutter-django
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Where from to start building project?
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.
- Is there an easy approach of deploying Celery?
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What's the most htmx-ish language for the server side?
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.
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
pegasus-example-apps - Example apps for Saas Pegagus (saaspegasus.com)
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
django-tailwind - Django + Tailwind CSS = 💚
cookiecutter-django-ecs-github - Complete Walkthrough: Blue/Green Deployment to AWS ECS using Cookiecutter-Django using GitHub actions
Flask - The Python micro framework for building web applications.
boilerplate-code-django-dashboard - Boilerplate Code - Django Dashboard | AppSeed
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.