Resque vs RQ (Redis Queue)
Resque
resque.github.ioRQ (Redis Queue)
python-rq.orgSide by side
| Figure | Resque | RQ (Redis Queue) |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Task Queue Software | 6.7 (#34) | 8.2 (#9) |
| Integrations | The repository documents compatibility with Rails ActiveJob and support for Rack 2.x or 3.x. | The project documents usage patterns for Heroku, Django, Sentry, Supervisor, and systemd. |
| Monitoring | Resque includes a Sinatra front end for monitoring queues, jobs, workers, usage statistics, and failures. | RQ provides queue monitoring and can send webhooks when jobs finish or fail. |
| Purpose | Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. | RQ is a Python library for queueing jobs and processing them in the background with workers. |
| Support | The Resque organization directs users to the Ruby Users Forum for longer support threads and maintenance coordination, and Discord for live coordination. | The project directs users to its Discord for help and discussion about contributions and the project's future. |
Plans
In their own words
RQ (Redis Queue)
RQ (Redis Queue) is a Python library for placing jobs in queues and running them asynchronously in background worker processes. It is self-hosted, open source under the BSD license, and free. It requires Redis 5 or later, or Valkey 7.2 or later. RQ supports scheduled and repeating jobs, retries, bulk enqueueing, job groups, dependencies, unique jobs, and concurrency rate limits. Unique jobs cannot be combined with dependencies. Failed jobs are recorded with exception information, and custom exception handlers are supported. For monitoring, there is an `rq info` console command; RQ Dashboard is a separate web-based frontend. Documentation covers Django, including django-rq, as well as usage with Heroku, Sentry, Supervisor, and systemd. RQ serializes jobs with pickle by default, which the project warns is safe only with trusted Redis instances; JSON is an alternative. Workers need a system that supports `fork()`, so Windows requires Windows Subsystem for Linux and a bash shell. Workers must also be able to import job functions, and producers and workers must share source code.