rq
RabbitMQ
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rq | RabbitMQ | |
---|---|---|
26 | 91 | |
9,448 | 11,489 | |
0.8% | 1.4% | |
8.3 | 10.0 | |
1 day ago | 4 days ago | |
Python | Starlark | |
GNU General Public License v3.0 or later | 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.
rq
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The Many Problems with Celery
https://github.com/rq/rq is to the rescue.
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Keep the Monolith, but Split the Workloads
We use RQ[0], it has Redis as a dependency. It’s pretty straightforward and we’re very happy with it. If you are using Django you may want to look at Django RQ[1] as well. RQ has built in scheduling capabilities these days, but historically it did not so we used (and still use) RQ Scheduler[2] which I think still has some advantages over the built in stuff.
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Also had a similar experience using RabbitMQ with Django+Celery. Extremely complicated and workers/queues would just stop for no reason.
Moved to Python-RQ [1] + Redis and been rock solid for years now.
- What libraries do you use the most alongside django?
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
- Dynamically update periodic tasks in Celery and Django
- Celery + RabbitMQ alternatives
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Are there any self-hosted web front-ends or Discord bots I can run in front of the Python scripts?
It's just Flask for the API, rq for the queue and then a modified version of txt2img.py
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What is your favourite task queuing framework?
RQ -> ...?
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How to create multiple workers in Python-RQ?
We are using Django and Python's rq library. We are not using django-rq (Please let me know if there are advantages in using this)
RabbitMQ
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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.
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Exploring Async PHP
The use of queues such as Amazon SQS, RabbitMQ or Apache Kafka has been a widely accepted solution for some time.
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Best way to schedule events and handle them in the future?
You're better off with something really, really straightforward, like AWS Simple Queue Service or SQS or RabbitMQ, which are two very popular message queues. (The "MQ" part means Message Queue, in case that wasn't obvious). There are a lot of these out there, including ActiveMQ, IronMQ, and others. Pick the one that makes the most sense to you.
What are some alternatives?
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
celery - Distributed Task Queue (development branch)
mosquitto - Eclipse Mosquitto - An open source MQTT broker
MediatR - Simple, unambitious mediator implementation in .NET
huey - a little task queue for python
nsq - A realtime distributed messaging platform
BeanstalkD - Beanstalk is a simple, fast work queue.
vernemq - A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
Apache Qpid - Mirror of Apache Qpid
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Chronicle Queue - Micro second messaging that stores everything to disk
opentelemetry-dotnet - The OpenTelemetry .NET Client