GoodJob vs RQ (Redis Queue)
GoodJob
github.comRQ (Redis Queue)
python-rq.orgSide by side
| Figure | GoodJob | RQ (Redis Queue) |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Task Queue Software | 7.6 (#27) | 8.2 (#9) |
| Integrations | The README describes using its thread-error callback to report errors through Rails.error and mentions Sentry, Bugsnag, Airbrake, and Honeybadger as examples. | The project documents usage patterns for Heroku, Django, Sentry, Supervisor, and systemd. |
| Security | The README advises authorizing dashboard access because job records can contain sensitive information. | RQ warns that its default pickle serializer is not secure and advises using it only with trusted Redis instances; JSON is an alternative serializer. |
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.