django-tastypie
fastapi
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django-tastypie | fastapi | |
---|---|---|
6 | 466 | |
3,891 | 71,023 | |
0.1% | - | |
4.5 | 9.8 | |
6 days ago | 2 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
django-tastypie
- Django Tastypie: Create APIs that is RESTful and uses HTTP well
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deploying django app to heroku
Unfortunately tastypie doesn't yet work with Django 4.1 - I logged this bug a few weeks ago https://github.com/django-tastypie/django-tastypie/issues/1640
- cannot import name '_sanitize_token' from django
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API framework choice?
Other than DRF, TastyPie is the other REST API framework for Django I had used in the past.
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[D] Software engineers building apps with ML features
For an API, if you have a backend like Django (which I admit has a solid learning curve) you can make quick APIs with addons like django rest framework, or tastypie. The most recent I saw was django-ninja, but I have yet to try that out. I think an ML / cookie cutter plugin would be pretty interesting to be honest. I'll keep a look out and see, but /u/halfourname is correct, the flexibility would have penalties. Usually they're very narrow in scope.
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Does anyone know the status of Tastypie? Worth using?
But the django-tastypie GitHub repo shows there's recent activity and it now supports "Django 2.2, 3.2 (LTS releases) or Django 4.0 (latest release)".
fastapi
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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.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
What are some alternatives?
django-rest-framework - Web APIs for Django. 🎸
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Django REST Swagger - Swagger Documentation Generator for Django REST Framework: deprecated
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
django-sql-explorer - Easily share data across your company via SQL queries. From Grove Collab.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
django-classifier - Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity. This set of helpers useful to create properties like contacts or attributes for describe car/computer/etc.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
django-modern-rpc - Simple XML-RPC and JSON-RPC server for modern Django
Flask - The Python micro framework for building web applications.
django-template - A battle-tested Django 2.1 project template with configurations for AWS, Heroku, App Engine, and Docker.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.