trio
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trio | uvicorn | |
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19 | 57 | |
5,869 | 7,819 | |
1.3% | 3.0% | |
9.5 | 8.8 | |
5 days ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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trio
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trio VS awaits - a user suggested alternative
2 projects | 9 Dec 2023
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In what ways are channels are better than the traditional await?
Incidentally, the alternative event loop implementation trio in python does not have "gather", you also need channels, and it's a deliberate design choice - there is some discussion about that in this ticket https://github.com/python-trio/trio/issues/2188
- Polyphony: Fine-Grained Concurrency for Ruby
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This Week In Python
trio β a friendly Python library for async concurrency and I/O
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Python projects with best practices on Github?
trio. the best code, the best documentation, awesome community.
- Trio: Structured Concurrency for Python
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The Heisenbug lurking in your async code (Python)
I'll +1 the Trio shoutout [1], but it's worth emphasizing that the core concept of Trio (nurseries) now exists in the stdlib in the form of task groups [2]. The article mentions this very briefly, but it's easy to miss, and I wouldn't describe it as a solution to this bug, anyways. Rather, it's more of a different way of writing multitasking code, which happens to make this class of bug impossible.
[1] https://github.com/python-trio/trio
[2] https://docs.python.org/3/library/asyncio-task.html#task-gro...
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The gotcha of unhandled promise rejections
It's similar to manual memory management.
Structured concurrency is one approach to solving this problem. In a structured concurrency a promise would not go out of scope unhandled. Not sure how you would add APIs for it though.
See Python's trio nurseries idea which uses a python context manager.
https://github.com/python-trio/trio
I'm working on a syntax for state machines and it could be used as a DSL for promises. It looks similar to a bash pipeline but it matches predicates similar to prolog.
In theory you could wire up a tree of structured concurrency with this DSL.
https://github.com/samsquire/ideas4#558-assign-location-mult...
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Python Asyncio: The Complete Guide
Not complete - doesn't include Task Groups [1]
In fairness they were only included in asyncio as of Python 3.11, which was released a couple of weeks ago.
These were an idea originally from Trio [2] where they're called "nurseries" instead of "task groups". My view is that you're better off using Trio, or at least anyio [3] which gives a Trio-like interface to asyncio. One particularly nice thing about Trio (and anyio) is that there's no way to spawn background tasks except to use task groups i.e. there's no analogue of asyncio's create_task() function. That is good because it guarantees that no task is ever left accidentally running in the background and no exception left silently uncaught.
[1] https://docs.python.org/3/library/asyncio-task.html#task-gro...
[2] https://github.com/python-trio/trio
[3] https://anyio.readthedocs.io/en/latest/
- Anyone here able to help with a python issue?
uvicorn
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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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LangChain, Python, and Heroku
This tells Heroku to run uvicorn, which is a web server implementation in Python.
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Fun with Avatars: Crafting the core engine | Part. 1
FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
Now, letβs run our FastAPI application using Uvicorn: uvicorn main:app --reload
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FastHttp for Python (64k requests/s)
Uvicorn + Starlette 8k requests/s
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Ask HN: Where to Host a FastAPI App
I switched to Hypercorn because Uvicorn currently supports HTTP/1.1 and WebSockets as mentioned at https://www.uvicorn.org
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How to use Chroma to store and query vector embeddings
This will set up Chroma and run it as a server with uvicorn, making port 8000 accessible outside the net docker network. The command also mounts a persistent docker volume for Chroma's database, found at chroma/chroma from your project's root.
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Unresolved Memory Management Issues in FastAPI/Starlette/Uvicorn/Python During High-Load Scenarios
There's an open discussion under the Uvicorn repository and we prepared a repository for Reproduction GitHub Repo
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How to Dockerize and Deploy a Fast API Application to Kubernetes Cluster
FastAPI is a popular Python Web framework that developers use to create RESTful APIs. It is based on Pydantic and Python-type hints that assist in the serialization, deserialization, and validation of data. In this tutorial, we will use FastAPI to create a simple "Hello World" application. We test and run the application locally. FastAPI requires a ASGI server to run the application production such as Uvicorn.
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FastAPI 0.100.0:Release Notes
- [3] https://github.com/encode/uvicorn/issues/527
What are some alternatives?
uvloop - Ultra fast asyncio event loop.
daphne - Django Channels HTTP/WebSocket server
curio - Good Curio!
hypercorn
asyncio
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Twisted - Event-driven networking engine written in Python.
Flask - The Python micro framework for building web applications.
LDAP3 - a strictly RFC 4510 conforming LDAP V3 pure Python client. The same codebase works with Python 2. Python 3, PyPy and PyPy3
dash - Data Apps & Dashboards for Python. No JavaScript Required.
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
starlette - The little ASGI framework that shines. π