beanie
fastapi
Our great sponsors
beanie | fastapi | |
---|---|---|
11 | 466 | |
1,795 | 70,779 | |
- | - | |
8.4 | 9.8 | |
5 days ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | 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.
beanie
-
Ask HN: Where do I find good code to read?
I recently came across Beanie. A Python ORM for MongoDb. A pleasure to work with and integrates well with FastAPI, the tests document the code well, and at this point it’s only as complicated as it needs to be.
https://github.com/roman-right/beanie
-
What ORM/ODM do you use for mongo? or which one do you suggest for a large scale application
Beanie (https://beanie-odm.dev) is an ODM using Pydantic BaseModel :)
-
starlette-admin: Simple and extensible admin interface framework for Starlette/FastApi
You may want to look at swapping mongoengine for beanie. That supports native pydantic data structures and has async support.
-
Announcing Beanie ODM 1.8 - Relations, Cache, Actions and more!🎉🚀
Other link patterns are not supported for now. If you need something more specific for your use-case, please leave an issue on the GitHub page - https://github.com/roman-right/beanie
-
Which ORM should I learn?
Document: Beanie
- Beanie - Python MongoDB ODM with Query Builder
-
Beanie Projections. Reducing network and database load.
Today I want to introduce to you a new Beanie feature. MongoDB projections are supported now. It helps to reduce database load and makes your services more efficient.
-
MongoDB indexes with Beanie
Beanie - Python ODM (Object Document Mapper) for MongoDB.
- Beanie - Python MongoDB ODM
-
Indexes with Beanie. Creating a geo service.
Beanie - Python ODM (Object Document Mapper) for MongoDB, based on Pydantic and Motor.
fastapi
-
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.
-
FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
-
How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
-
Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
-
LangChain, Python, and Heroku
An API application framework (such as FastAPI)
-
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
-
AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
-
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:
-
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?
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
pydantic - Data validation using Python type hints
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
mongox - Familiar async Python MongoDB ODM
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
beanie-fastapi-demo - Demo project
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
pydantic-aioredis - A Declarative ORM for Redis using Pydantic Models and aioredis
Flask - The Python micro framework for building web applications.
redis-om-python - Object mapping, and more, for Redis and Python
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.