asynchrony VS repid

Compare asynchrony vs repid and see what are their differences.

asynchrony

asyncio Python framework for writing safe and fast concurrent code (by orsinium-labs)

repid

Repid framework: simple to use, fast to run and extensible to adopt job scheduler (by aleksul)
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asynchrony repid
5 1
18 60
- -
0.0 8.3
almost 2 years ago 6 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

asynchrony

Posts with mentions or reviews of asynchrony. We have used some of these posts to build our list of alternatives and similar projects.

repid

Posts with mentions or reviews of repid. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing asynchrony and repid you can also consider the following projects:

example-code-2e - Example code for Fluent Python, 2nd edition (O'Reilly 2022)

faststream - FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.

jockey - 🏇 Generic Python library for running asynchronous workers. Useful for building event handlers, web frameworks, and alike.

rq - Simple job queues for Python

dramatiq - A fast and reliable background task processing library for Python 3.

celery - Distributed Task Queue (development branch)

kombu - Messaging library for Python.

Conveyor MQ - A fast, robust and extensible distributed task/job queue for Node.js, powered by Redis.