aerich
fastapi
aerich | fastapi | |
---|---|---|
2 | 469 | |
784 | 71,223 | |
1.4% | - | |
5.9 | 9.8 | |
about 1 month ago | 2 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.
aerich
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FastAPI + Ormar + Alembic setup
We have successfully setup out FastAPI + ormar + alembic project. With pydantic support, ormar can generate pydantic models from ormar models. The generated pydantic models can be used by FastAPI during request/response data validation. ormar + alembic is a great duo to writing database code. Another great combination is tortoise ORM + aerich, which I'm planning to write soon.
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My Experience Learning Svelte Tailwind Fastapi
I also use the source code for aerich a lot. Aerich is similar to alembic but for Tortoise ORM.
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?
alembic - A database migrations tool for SQLAlchemy.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
SQLAlchemy - The Database Toolkit for Python
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
pydantic - Data validation using Python type hints
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
databases - Async database support for Python. 🗄
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Flask - The Python micro framework for building web applications.
starlette - The little ASGI framework that shines. 🌟
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.