Python任务队列替代方案和框架

问题描述

Python 3的似乎有不同的实现方式。

There seem to be different implementations of task/job queues for Python 3:

1. ，受欢迎但显然没有维护和陈旧；


2. ，我几乎没有信息；


3. ，与RQ类似，我对此一无所知;


4. ，与RQ类似，我对此知之甚少；


5. 的最新更新是2016年。

1. Celery, popular but apparently unmaintained and stale;
2. RQ, of which I have little information;
3. TaskTiger, similarly to RQ I know little about it;
4. Huey , similarly to RQ I know little about it;
5. WorQ had its last update in 2016.

然后有基于云的解决方案，例如或，但这更多的是不得已。

Then there are "cloud" based solutions like Google’s Task Queue API or AWS’s Cloud Watch Events, but that’s more of a last resort.

对于我的项目，我正在寻找一个稳定和 active 任务队列实现。在过去的一年中，我一直使用Celery，但令人担忧的是缺乏支持以及对现有bug的疏忽。

For my project I am looking for a stable and active task queue implementation. I’ve used Celery for the past year, but the lack of support and non-attention to existing bugs is worrisome.

存在哪些替代方案？

推荐答案

我写了页面上查看为什么以及Dramatiq，Celery和RQ之间的功能比较。一些重点：

I wrote Dramatiq specifically because of my increasing frustration with Celery having used it professionally for years. Check out the motivation page the "why" and a feature comparison between Dramatiq, Celery and RQ. Some highlights:

• 积极开发并用于生产中


• 优秀文档


• 自动重试


• 代码自动重新加载


• 锁定和速率限制


• redis和rabbitmq支持

• actively developed and used in production
• great docs
• automatic retries
• code auto-reload
• locks and rate limiting
• redis and rabbitmq support

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