play_sounds
fastapi
play_sounds | fastapi | |
---|---|---|
3 | 471 | |
9 | 71,659 | |
- | - | |
4.2 | 9.8 | |
4 months ago | 2 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | 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.
play_sounds
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Friday Daily Thread: Free chat Friday!
play_sounds is a library that provides a simple API over the cross-platform idiosyncrasies that Python's sound playing ecosystem presents. It lets you play sounds in Python scripts easily. I recently added an async/await compatible API to it.
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Sunday Daily Thread: What's everyone working on this week?
I added an async API to play_sounds and better support for making sure that spawned player processes are killed when the parent process doesn't shut down cleanly. play_sounds provides a simple API over the cross-platform idiosyncrasies that Python's sound playing ecosystem presents.
- đ Play music and sounds in your Python scripts, synchronously and asynchronously.
fastapi
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Github Sponsor SebastiĂĄn RamĂrez 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. Weâll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but wonât dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
Thatâs 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 â powerful, flexible, and highly performant Python ASGI framework
Itâs 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 youâre using sync routes.
If youâre 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 isnât a straightforward way to cancel the execution of a route handler in every Python http framework Iâve 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?
aiopath - đ Asynchronous pathlib for Python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
chromecast_mpris - đş Control Chromecasts from Linux and D-Bus
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
django-ninja - đ¨ Fast, Async-ready, Openapi, type hints based framework for building APIs
Flask - The Python micro framework for building web applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
Django - The Web framework for perfectionists with deadlines.
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
django-rest-framework - Web APIs for Django. đ¸