attrs
RabbitMQ
attrs | RabbitMQ | |
---|---|---|
11 | 92 | |
5,081 | 11,608 | |
0.5% | 1.0% | |
9.1 | 10.0 | |
11 days ago | 7 days ago | |
Python | Starlark | |
MIT License | GNU General Public License v3.0 or later |
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.
attrs
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Litestar 2.0
Full support for validation and serialisation of attrs classes and msgspec Structs. Where previously only Pydantic models and types where supported, you can now mix and match any of these three libraries. In addition to this, adding support for another modelling library has been greatly simplified with the new plugin architecture
- Ask HN: How can I get better at writing production-level Python?
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Starlite updates March '22 | 2.0 is coming
Pydantic is by far not the only library of its kind, with prominent members of the same class being attrs, cattrs or even plain dataclasses for some use cases.
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Data Classification: Does Python still have a need for class without dataclass?
Anything requiring e.g. setattr, getattr, delattr? Without looking far,
https://github.com/python-attrs/attrs/blob/main/src/attr/_ma...
- What new Python features are the most useful for you?
- Why you should use Data Classes in Python
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Python Built-In Functions to Know
I was looking for an example of using locals() to "fill a data class from kwargs" or something similar to that. The example here doesn't use locals().
That aside, I generally wouldn't use the kwargs approach shown in this example either. I'd use [dataclasses](https://docs.python.org/3/library/dataclasses.html ) or [attrs](https://www.attrs.org/) instead.
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Building a Micro Business: What Services I Pay For
hynek: developer of attrs
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Soap and REST at Odds (2017)
I continue to be surprised how easy it can be to consume a SOAP API with the right client libraries. Such as https://docs.python-zeep.org/en/master/ for Python. Now that's not to say it will always work, you can design a terrible API with any mechanism, no SOAP or REST client will help you if the other end has desided to succumb to madness and done something like turn their entire API into just "two endpoints" and driven by the payload content you post to the inbound endpoint, and you have to sit there polling the outbound endpoint with the inbound endpoints response ID because to find out what the eventual response is...
But horror story aside, consuming a decent SOAP endpoint with a good client library can be practically magical.
Between attrs (https://www.attrs.org/), cattrs (https://cattrs.readthedocs.io/), and the aforementioned zeep soap client I've got a serialisation pipeline from soap endpoint into an attrs dataclass with type hints and basic type validation down to a snippet so small it fits right here (type hints removed to minimise size).
from zeep import helpers
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PEP 661 -- Sentinel Values
attrs has at least two.
RabbitMQ
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Building Llama as a Service (LaaS)
Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way.
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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FastStream: Python's framework for Efficient Message Queue Handling
Later, we discovered Propan, a library created by Nikita Pastukhov, which solved similar problems but for RabbitMQ. Recognizing the potential for collaboration, we joined forces with Nikita to build a unified library that could work seamlessly with both Kafka and RabbitMQ. And that's how FastStream came to be—a solution born out of the need for simplicity and efficiency in microservices development.
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The Complete Microservices Guide
Inter-Service Communication: Middleware provides communication channels and protocols that enable microservices to communicate with each other. This can include message brokers like RabbitMQ, Apache Kafka, RPC frameworks like gRPC, or RESTful APIs.
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Project Structure Review [.Net] [Console]
This is an implementation of pub/sub. The publisher is on a separate project. The message broker is Azure Service Bus. We use NServiceBus for code implementation. I use rabbitMQ broker for local tests. Nothing I can do about the tech stack. This is more of a high level single project structure review 😅
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The Role of Queues in Building Efficient Distributed Applications
RabbitMQ is a robust and highly configurable open-source message broker that implements the Advanced Message Queuing Protocol (AMQP).
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Should I chain calls in backend?
When using third-party services, especially within a "transaction", it's often a good idea to use a persistent Message Queue (MQ) system like RabbitMQ. Go through all their tutorials to get a really good understanding of how message queues work and how they can be used to solve your problem.
- Node still seems better than python after all this time for web server speed but..
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Delayed events pattern, no more crons
The best technical solution to provide the event queues is to use a message-broker technology like RabbitMQ.
- RabbitMQ 3.12.0 Released
What are some alternatives?
itsdangerous - Safely pass trusted data to untrusted environments and back.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
mosquitto - Eclipse Mosquitto - An open source MQTT broker
pluginbase - A simple but flexible plugin system for Python.
MediatR - Simple, unambitious mediator implementation in .NET
Pychievements - The Python Achievements Framework!
nsq - A realtime distributed messaging platform
Throttler - 🔀⏳ Easy throttling with asyncio support
BeanstalkD - Beanstalk is a simple, fast work queue.
blinker - A fast Python in-process signal/event dispatching system.
rq - Simple job queues for Python