chancy

(I'm biased, I'm the author of Chancy) One of the major complaints with Celery is observability. Databased-backed options like Procastinate and Chancy will never reach the potential peak throughput of Celery+RabbitMQ, but they're still sufficient to run millions upon millions of tasks per day even on a $14/month VPS. The tradeoff to this is excellent insight into what's going on - all state lives in the database, you can just query it. Both Procastinate and Chancy come with Django integrations, so you can even query it with the ORM. For Chancy in particular, retries are a (very trivial) plugin (that's enabled by default) - https://github.com/TkTech/chancy/blob/main/chancy/plugins/re.... You can swap it out and add whatever complex retry strategies you'd like. Chancy also comes with a "good enough" metrics plugin and a dashboard. Not suita

If you like Procastinate, you might like my Chancy, which is also built on postgres but with a goal of the most common bells and whistles being included. Rate limiting, global uniqueness, timeouts, memory limits, mix asyncio/processes/threads/sub-interpreters in the same worker, workflows, cron jobs, dashboard, metrics, django integrations, repriotization, triggers, pruning, Windows support, queue tagging (ex: run this queue on all machines running windows with a GPU, run this one on workers with py3.14 and this one on workers with py3.11) etc etc... https://tkte.ch/chancy/ & https://github.com/tktech/chancy The pending v0.26 includes stabilizing of the HTTP API, dashboard improvements, workflow performance improvements for workflows with thousands of steps and django-tasks integration.