pydantic-aioredis
fastapi
Our great sponsors
| pydantic-aioredis | fastapi | |
|---|---|---|
| 7 | 466 | |
| 51 | 71,023 | |
| - | - | |
| 7.1 | 9.8 | |
| 5 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.
pydantic-aioredis
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redis-pydict: Dictionary abstraction over redis and other goodies
If you need some examples to work from, check out https://github.com/andrewthetechie/pydantic-aioredis
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How do you manage PyPI releases?
This repo is an example https://github.com/andrewthetechie/pydantic-aioredis Check out the pyproject.toml and .github/workflows
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Sunday Daily Thread: What's everyone working on this week?
Done - https://github.com/andrewthetechie/pydantic-aioredis/releases/tag/v0.4.0
- pydantic-aioredis - use your Pydantic models as a simple ORM with Redis
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Pydantic-aioredis: A simple Declarative ORM for Redis using Pydantic Models and aioredis
I've been working on this library for a bit and figured I'd share it out to others who might be doing similar things!
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?
pydantic-redis - A simple Declarative ORM for Redis using pydantic Models
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
beanie - Asynchronous Python ODM for MongoDB
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
robusta - Kubernetes observability and automation, with an awesome Prometheus integration
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.