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RQ (Redis Queue)

RQ (Redis Queue) is an open-source Python library for sending jobs to background worker processes.

Place
#14 of 37
Score
6.4
RQ (Redis Queue)'s website

What RQ (Redis Queue) is

RQ (Redis Queue) is an open-source Python library for sending jobs to background worker processes. It runs Python function calls asynchronously and requires Redis 5 or later, or Valkey 7.2 or later. Job features include scheduled and repeating work, retries, bulk enqueueing, groups, dependencies, unique jobs, and concurrency rate limits; unique jobs cannot be combined with dependencies. Failed jobs are kept with exception details, and RQ supports retries and custom exception handlers. The `rq info` console command provides monitoring, while the separately distributed RQ Dashboard offers a web frontend. Documentation describes Django use, including through django-rq, plus patterns for Heroku, Sentry, Supervisor, and systemd. RQ is self-hosted and licensed under BSD. Its default pickle serializer is intended only for trusted Redis instances; JSON is an alternative. Workers need a system implementing `fork()`, so Windows use requires Windows Subsystem for Linux and a bash shell. The worker must be able to import job functions, and producers and workers must share source code.

Good

  • Supports scheduled and repeating jobs.
  • Retries failed jobs and supports custom exception handlers.
  • Offers job groups, dependencies, and bulk enqueueing.
  • Provides `rq info` and a separate web dashboard.
  • BSD-licensed and self-hosted.

Watch out

  • Requires Redis 5+ or Valkey 7.2+.
  • Workers require a system implementing `fork()`.
  • Windows workers require WSL and bash.
  • Pickle serialization is intended only for trusted Redis instances.

Who it suits

RQ suits Python developers who want to queue background work using Redis or Valkey and run their own workers. It may fit teams that need scheduling, retries, job dependencies, and Django support.

Verdict

RQ provides a focused Python job queue with scheduling, retries, and several workflow options. Check the backend, worker-platform, and serialization requirements before adopting it.

Plans and prices

From RQ (Redis Queue)'s own pricing page, checked 8 Oct 2026.

All about pricing
PlanPriceWhat it gives you
RQ (Redis Queue)FreeOpen source · BSD license · Requires Redis >= 5 or Valkey >= 7.2

The facts

Each one read from RQ (Redis Queue)'s own pages, with the date it was checked.

What it does

Backend
RQ requires Redis version 5 or later, or Valkey version 7.2 or later.checked 7 Oct 2026
Failure handling
Failed jobs are stored in the FailedJobRegistry with exception information, and RQ supports retries and custom exception handlers.checked 7 Oct 2026
Framework integration
The documentation describes using RQ with Django, including through the django-rq package.checked 7 Oct 2026
Integrations
The project documents usage patterns for Heroku, Django, Sentry, Supervisor, and systemd.checked 8 Oct 2026
Job code requirements
The worker must be able to import the job function, and the worker and job producer must share the same source code.checked 8 Oct 2026
Job execution
RQ runs Python function calls asynchronously in background worker processes.checked 7 Oct 2026
Job workflows
RQ supports job dependencies, callbacks, bulk enqueueing, and grouping jobs under one ID.checked 8 Oct 2026
License and maintainer
RQ is open source under the BSD license and is maintained by Stamps, described as an Indonesian CRM company.checked 7 Oct 2026
Maintainer
RQ is maintained by Stamps, described on the project site as an Indonesian CRM company.checked 8 Oct 2026
Monitoring
RQ provides queue monitoring and can send webhooks when jobs finish or fail.checked 8 Oct 2026
Operating system limit
RQ workers require a system that implements `fork()`; the documentation says Windows workers require Windows Subsystem for Linux and a bash shell.checked 7 Oct 2026
Protocol limit
RQ relies on pickle serialization and is a Python-only system rather than using a portable protocol.checked 7 Oct 2026
Purpose
RQ is a Python library for queueing jobs and processing them in the background with workers.checked 8 Oct 2026
Queue features
RQ supports bulk enqueueing, job groups, dependencies, unique jobs, and concurrency rate limits.checked 7 Oct 2026
Scheduling and retries
RQ supports scheduling jobs for later, repeating jobs, and retrying failed jobs.checked 8 Oct 2026
Security
RQ warns that its default pickle serializer is not secure and advises using it only with trusted Redis instances; JSON is an alternative serializer.checked 7 Oct 2026
Security and license
RQ is open sourced under the BSD license.checked 8 Oct 2026
Serialization limit
RQ uses pickle to serialize jobs, making it a Python-only system without a portable protocol.checked 8 Oct 2026
Storage
RQ is backed by Redis or Valkey and requires Redis >= 5 or Valkey >= 7.2.checked 8 Oct 2026
Support
The project directs users to its Discord for help and discussion about contributions and the project's future.checked 8 Oct 2026
Support community
The project links to an RQ Discord community chat.checked 7 Oct 2026
Uniqueness and rate limits
RQ supports unique jobs and concurrency rate limits; unique jobs are not supported with job dependencies.checked 8 Oct 2026

The company

Headquarters
Jakarta, Indonesiachecked 28 Sep 2026

Where it runs

Worker platform limit
Workers require systems that implement fork(); Windows requires Windows Subsystem for Linux and a bash shell.checked 8 Oct 2026

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